JP2006053132A - Moving destination display, and moving destination display method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To solve a problem wherein information concerned in a plurality of destination candidates and destinations is difficult to grasp its displayed content at one glance in a case of list-displaying uniformly all the destinations. <P>SOLUTION: This moving destination display 100 of the present invention is provided with a moving destination predicting part 107 for accumulating a moving history of information as to a moving route from a start point to the destination, and for predicting the plurality of destination candidates, based on the accumulated moving history, and an exhibition control part 104 for exhibiting, on an exhibiting part 106, the predicted destination information as to the plurality of candidates, by modes different the candidate by the candidate, for example, a size of an exhibiting frame, an exhibiting position within an exhibiting screen, an exhibiting time, a color and the like, in response to moving destination arrival probability to the each candidate calculated based on the moving history. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention predicts a destination such as a destination of a mobile body in a mobile terminal such as a vehicle-mounted machine, and provides the predicted destination, a route to the destination, commercial information on the route, traffic information, and the like. The present invention relates to a movement destination display device and a movement destination display method that are easily displayed for the user.

  Conventionally, as a method of predicting a destination and displaying a plurality of predicted destinations, there is a method of displaying information such as a place name of a destination and a name of a facility (for example, see Patent Document 1). FIG. 98 shows a display example of the conventional destination described in Patent Document 1.

In the display device 26 of FIG. 98, the current traveling state is displayed by the own vehicle position 51, the traveling road 52, and the predicted destination 54, while the destination candidates are displayed as a list by the information display window 55.
Japanese Patent Laying-Open No. 2003-57049 (page 7, FIG. 4)

  However, in the conventional configuration, information relating to a plurality of destination candidates and destinations is simply displayed in a list with a similar display method for any destination. The user must select information that seems important to him from the information displayed in this way, and it is difficult to grasp at a glance the destination and destination information related to the destination. It has a problem. For example, in the conventional example, the position information, the traffic information, the arrival time, and the like of the predicted destination 1 and the predicted destination 2 are only listed in the information display window 55 as well. The display is very difficult to grasp.

  The present invention solves the above-described conventional problems, and provides a destination display device and a destination display method for displaying a destination so that a user can easily grasp destination information related to a plurality of destinations and destinations. For the purpose.

  In order to solve the above-described conventional problems, the movement destination display device according to the present invention includes movement history accumulation means for accumulating movement history, which is information relating to a movement route from a departure place to the movement destination, and the accumulated movement history. Display for displaying, in a different manner for each candidate, a destination prediction unit that predicts a plurality of destination candidates based on the information, and information on the predicted plurality of candidates or information on the route to each candidate Display information generating means for generating information.

  With this configuration, destination information calculated for multiple candidates and destination information related to destination candidates are displayed in a different manner for each candidate, so that destination information can be weighted and displayed for each candidate. it can. As a result, it is possible to display the destination information that seems to be more important for the user so that the destination information can be grasped more easily.

  Note that the present invention can be realized not only as such a destination display device, but also as a destination display method using steps characteristic of the destination display device. It can also be realized as a program for causing a computer to execute steps. Needless to say, such a program can be distributed via a recording medium such as a CD-ROM or a transmission medium such as the Internet.

  According to the destination display apparatus and destination display method of the present invention, it is possible to easily grasp the destination information related to a plurality of destinations and destinations. Further, according to the present invention, it is possible to display the destination information of a candidate having a high probability of reaching the past among a plurality of predicted destination candidates in a more understandable manner. Further, according to the present invention, it is possible to easily post destination information that is far from the destination. Further, according to the present invention, the display position, size, scale, and level of detail of the destination information can be changed and displayed for each destination candidate. Furthermore, according to this invention, the area | region containing the movement path | route to each candidate can be displayed in a different aspect for every candidate. Moreover, the information regarding the store located in each area | region can be displayed in a different aspect for every candidate. Therefore, according to these, according to the destination display device and destination display method of the present invention, the information required by the driver without effectively obstructing the driver's attention to the driving operation and effectively using the limited notice screen. It is possible to display the destination information so that the user can grasp at a glance.

  Embodiments of the present invention will be described below with reference to the drawings.

(Embodiment 1)
FIG. 1 is a block diagram showing the overall configuration of a destination display device 100 according to Embodiment 1 of the present invention. The movement destination display device 100 is a movement destination display device that controls display of information regarding each movement destination candidate in response to establishment of arrival at a plurality of movement destination candidates, and includes a mobile terminal (car navigation main body) 101, position information detection, and the like. A section 102 and a posting section 106 are provided. In FIG. 1, reference numeral 102 denotes a position information detection unit that detects the current position of a moving body, and is constituted by a GPS antenna or the like. The posting unit 106 is a display device such as a liquid crystal display panel. The posting unit 106 may further include a speaker for voice guidance. The destination display device 100 is further connected to an information providing server 109 via a network 108. The network 108 is a wireless communication network such as a mobile phone line or mobile communication. The information providing server 109 is provided on the Internet, for example, and provides information such as map information, commercial information, and traffic information via the network 108.

  Reference numeral 101 denotes a mobile terminal such as a car navigation main body (hereinafter abbreviated as “car navigation”), which includes a time measurement unit 103, a posting control unit 104, a map information storage unit 105, and a destination prediction unit 107. Information on the position, destination, and destination is posted on the posting unit 106 by the posting control unit 104 together with the map information. The time measuring unit 103 measures the current time. The posting control unit 104 controls the posting of information related to a plurality of predicted destinations predicted by the destination prediction unit 107 according to the establishment of arrival at the predicted destination. For example, information regarding a predicted destination having a high arrival probability is displayed in more detail on the upper right of the display screen. Further, a predicted destination with a low arrival probability is displayed more concisely. The map information storage unit 105 is a memory such as a hard disk, a CD, and a DVD, and stores information related to the map and facilities on the map.

  The destination prediction unit 107 predicts a destination to which the user is going and a route to the destination. Hereinafter, in this embodiment, a destination and a route to the destination are defined as a destination. The destination, the name of the facility, the location, menu information available at the facility, route information on the route to the destination, and traffic information are defined here as destination information. For example, the destination prediction unit 107 is directed to the future based on position information such as the position and direction detected by the position information detection unit 102 and the past user movement history accumulated in the destination prediction unit 107. A movement destination is predicted (for example, JP-A-2003-173145). The user's past movement history may be stored separately by providing a movement information storage unit or the like. Various methods related to the destination prediction have been disclosed in the past, and are not questioned here.

  The destination information such as the location of the destination, the name of the facility, the traffic information, and the commercial information is acquired from the information providing server 109 or the like via the map information storage unit 105 or the network 108.

  The posting control unit 104 posts the current position of the user detected by the position information detection unit 102 together with the map information accumulated in the map information storage unit 105. In addition, when the destination is predicted by the destination prediction unit 107 or when the destination is set by the user, the contents, position, and size to be posted so that the user can more easily grasp the destination information. Control the method, timing, etc.

  The posting unit 106 is a display for posting information to be posted under the control of the posting control unit 104. The posting unit 106 may be a touch panel or the like that can accept an operation input.

  Next, the operation of the mobile terminal 101 configured as described above will be described.

  In the present embodiment, when the destination is calculated by the destination prediction unit 107, the destination and destination information are posted on the posting unit 106 so that the posting control unit 104 can easily grasp the destination. A method will be described. FIG. 2A is a table showing the destination candidates predicted by the destination prediction unit 107 shown in FIG. 1 and the arrival probability to each destination candidate. FIGS. 2B and 2C are tables showing the destination candidates predicted by the destination prediction unit 107 and the arrival probability of each destination candidate, divided into holidays and weekdays.

  For example, the movement destination prediction unit 107 moves the user in the future based on the current position information of the user detected by the position information detection unit 102 and the past movement history of the user accumulated in the movement destination prediction unit 107. Predict where you will move. For example, the movement destination prediction unit 107 indicates a movement destination candidate as shown in the movement destination candidate list 201 in FIG. 2 and the probability of moving to the movement destination (movement destination arrival probability) in a list format (movement destination candidate list). ). In the destination candidate list 201, the total number of times that passed a certain point (for example, Δ △ intersection), the name of the destination that went to the past after passing the point, and the destination are reached in the destination candidate list 201 It is assumed that the number of times traveled and the destination arrival probability calculated from the number of times are recorded.

  For example, in the case of the movement destination candidate list 201, it has passed the Δ △ intersection 100 times in the past, and then has reached the restaurant 40 times, has reached the convenience store 30 times, and has reached the supermarket 20 times. It is shown that. Further, the movement destination arrival probability is calculated as “movement destination arrival frequency ÷ total number of passages × 100 (%)”. In the case of the movement destination candidate list 201, the restaurant is 40% (40 ÷ 100 × 100), and similarly. It is calculated that the convenience store is 30% and the supermarket is 20%. This indicates that when a user is currently moving at a point that triggers prediction, for example, a ΔΔ intersection, it can be predicted that the user will head to each location later with each probability.

  In this embodiment, the destination is a certain point, but it may be a certain point and the entire route to that point, for example, “XX intersection → National highway ΔΔ → Super” (202 in FIG. 2). In addition, an area including a predetermined range, for example, “□□ city” may be used. Further, the trigger for prediction is not limited to a point (for example, a ΔΔ intersection), but may be a traveled route (for example, a ΔΔ intersection → Δ ◎ intersection). Furthermore, not only such geographical information but also dates and times such as holidays and weekdays may be used. The prediction may be triggered by another information such as “the probability of reaching 90% for the company on weekdays and 50% for the restaurant on holidays”.

  For example, the destination candidate list 202 in FIG. 2 indicates that there are 20 runs on holidays, and that the restaurant has been reached 10 times, and the probability of reaching the restaurant is 50%. Further, the destination candidate list 203 indicates travel on weekdays and the arrival probability thereof, and indicates that the company is 90%. Furthermore, the prediction may be made using geographical information and information related to the date and time. Note that the prediction may be made by acquiring the predicted movement destination of the user from the information providing server or the like via the network 108. Furthermore, regarding the prediction, various inventions have been disclosed in the past, and in the present embodiment, the prediction method is not limited to this, and it is only necessary to acquire a plurality of predicted destinations and their probabilities, This embodiment does not matter.

  The posting control unit 104 performs control for posting the destination information on the posting unit 106 based on the destination candidate and the destination arrival probability obtained from the destination prediction unit 107 so that the user can easily understand the destination information. Do.

  Here, the destination information will be described with reference to FIG. The destination information is information about the destination such as the name of the destination, the location of the destination, and commercial information such as store service information when the destination is a facility such as a shop. Obtained from the information providing server 109 via the storage unit 105 or the network 108. In addition, route information on the route to the destination and traffic information are also acquired. FIG. 3A is a table showing an example of destination information of each destination. FIG. 3B is a table showing an example of operation candidates predicted to be performed at each destination and the probability of the operation being performed. 401 in FIG. 3 shows the destination information. The destination information (401 in FIG. 3) is the destination name “Restaurant ΔΔ”, the location of the destination, and the facility acquired from the information providing server 109 as each destination from the information accumulated in the map information storage unit 105. Information “Spring New Menu OO” and the like are shown, and the posting control unit 104 acquires the destination information. Furthermore, as the destination information, an operation candidate index includes an operation that the user will perform or an information candidate that the user wants to know when each destination is posted. Note that the operation candidate index may be stored as a rule in advance, or may be set by the user, or an item with a high frequency of operation may be automatically selected reflecting the user's operation history. It is good.

  For example, a destination operation history storage unit for storing the operations performed at each destination as a history may be provided separately, and calculation may be performed based on the stored destination operations. Reference numeral 402 denotes the frequency of operations at each destination stored in the destination operation history storage unit.

  As the destination operation history, it is assumed that the operation performed for each destination name is listed as an operation index, and the number of times of each operation is accumulated. For example, in the operation frequency list 402, the operations for the destination name “company” are 20 mails to the boss, 30 telephone calls to the company (TEL), and 4 mails to the family. . In other words, in this embodiment, when the destination is “company”, it is often used as an operation candidate index so that these messages are preferentially posted because mail is often sent to the boss or the company is called. (401 in FIG. 3).

  When predicting the destination, the probability of reaching the destination varies depending on the situation, and does not necessarily move to the destination, such as calculating a plurality of candidates and prompting the user's operation, It is necessary to improve the prediction accuracy. However, on the other hand, if a plurality of predicted destination candidates and destination information are to be posted, the amount of information that can be posted is limited in a mobile terminal such as a car navigation where the size of the posting screen is limited. Further, when an operation such as “determination of moving destination” is attempted based on such information, a complicated operation in a limited space in the vehicle not only during driving but also during stopping is complicated for the driver. Therefore, it is possible to easily grasp the destination information related to a plurality of destinations and destinations according to the destination arrival probability in a format suitable for the user without hindering the user's driving load. It becomes possible.

  Here, how to post the destination information and how to post the destination information in the posting control unit 104 will be described. The posting control unit 104 performs posting control based on the movement destination arrival probability, and posts it on the posting unit 106.

  For example, the posting control is performed according to a ruled posting rule that changes the posting method in detail based on the predicted destination arrival probability of the destination. FIG. 4 is a table showing rules for posting destination information to each destination candidate for each destination arrival probability. Reference numeral 501 in FIG. 4 indicates a posting rule that is ruled. The posting rules 501 include, for example, the size, position, time, color, format, detailed level of posting the destination information, whether to read out the voice information, whether to make a sound effect, etc. It is determined for each destination arrival probability. In this embodiment, it is assumed that the posting rules are stored in the posting control unit. Note that a separate posting rule storage unit may be provided and stored. The level of detail is, for example, commercial information such as a “menu” of a restaurant. If the level of detail is high, the details such as the price of the menu are posted. If the level is low due to screen restrictions, only the “Menu” operation button is displayed. Even with the same destination information such as posting, control is performed according to the level of detail. In addition, a sensor for detecting a passenger may be provided, and when the destination is “station”, detailed information such as train departure time and transfer guidance may be posted as destination information. Further, the category of information may be controlled such that commercial information, surrounding facility information, and traffic information are posted when the level of detail is high, and only traffic information is posted when the level of detail is low.

  For example, the destination information with the highest destination arrival probability is “150 × 100 pixels” in size, posted at the top right of the posting screen, that is, at a position close to the driver, and the posting time is 15 seconds. It shows in detail the details of how to display the map near the destination in 3D in easy-to-follow colors, and also to alert the driver with voice reading and sound effects. On the other hand, the second and third destination information, which has a low destination arrival probability, has a lower level of detail, a smaller size, and a display position than the destination with the first destination arrival probability. The direction of the destination, the simple posting, etc. are written. The position close to the driver on the posting screen is the upper right of the scene when the driver's seat is on the right, and the left side of the screen when the driver's seat is on the left.

  FIG. 5 shows an example in which information posted by the posting control unit 104 is posted on the posting unit 106 based on the posting rule. FIG. 5 is a diagram illustrating an example of destination information posted on the posting unit 106 based on the destination arrival probability. In the screen of the posting unit 106 in FIG. 5, 601 indicates the own vehicle position where the user is currently moving, and 602 indicates a traveling road. For example, suppose that the current user has passed a △△ intersection. Here, based on the destination candidate list 201, the destination destination prediction unit 107 calculates the top three destinations, that is, restaurants, convenience stores, and supermarkets, based on the respective destination arrival probabilities, and is predicted to be going later. Further, the destination information is referred to (for example, destination information 401). FIG. 5 shows the destination information at that time according to the posting rule 601. Reference numeral 603 denotes a restaurant having the highest destination arrival probability as a destination candidate, and its posting method is posted at a predetermined size close to the driver as described in the first place of the posting rule. Yes. Further, candidates for operations related to the destination such as “parking search” and “menu” or “reservation setting” for viewing commercial information in detail are posted (604 in FIG. 5).

  Thus, by posting the destination information at a predetermined size, for example, at a position close to the driver, it is possible to easily grasp necessary information without disturbing the driving load even during driving. Further, not only the size but also the color of the destination information can be easily attracted by the driver, and the information is displayed more realistically in 3D, which makes it easier to grasp the driver information. For example, when driving at night, when the background is “black”, the operation candidate may be displayed in “white” color to improve the effect of prompting the operation, and the driver's information may be more easily understood. Further, by displaying the operation candidates related to the movement destination in an appropriate size at a position close to the driver, it is possible to facilitate the operation by the driver. Further, a map in the vicinity of the restaurant that is the destination is posted in detail, and traffic information on the route to the restaurant is also posted as the destination information (605 in FIG. 5).

  In addition, it is good also as what sets the vicinity of the restaurant which is a movement destination as a predetermined range (for example, radius 50m), and it is good also as controlling arbitrarily from the scale of the present map (for example, if it is a present 200m posting, it will move) The information screen will be displayed at 50m, which is a quarter of that). Furthermore, it is good also as controlling a scale so that the nearest parking may enter, and it is good also as a scale where at least one parking lot with a space enters. In the case of a mobile terminal where the size of the posting screen such as car navigation is limited, effective usage of the posting screen becomes a problem, but not only the current vehicle position and moving route map, but also the destination and By posting the traffic information and route information related to the destination in a method appropriate for the user, it becomes possible for the driver to easily grasp only necessary information without performing a complicated operation. In addition, by notifying the destination information with sound effects (606 in FIG. 5) and voice (607 in FIG. 5), it is possible to call attention without compromising the driving load of the driver and to grasp necessary information. It becomes.

  On the other hand, the 2nd and 3rd supermarkets and convenience stores with a low destination arrival probability may be displayed smaller than the 1st restaurant, or far from the driver (that is, the left side of the screen when the driver's seat is on the right) ), Or a position where the current travel display is not hindered, or in the vicinity where there is a destination on the map (in the case of 608 in FIG. 5, the destination convenience store exists on the upper left of the screen, so the destination information 608 is displayed on the upper left). Alternatively, the destination may be posted in a certain direction (in the case of 609 in FIG. 5, the destination supermarket is not displayed on the screen but is displayed on the left side because it exists on the left side). As a result, it is possible to effectively use the restricted posting screen. The fact that the destination arrival probability is low means that the probability of going to the destination is low compared to the restaurant, but not necessarily going to the restaurant, and candidates with low destination arrival probability are also destination information. Thus, for example, when actually going there, there is an effect of prompting the user's operation such as setting the destination by simply touching the touch panel.

  Further, when the driver refers to the map of the car navigation system, the driver pays attention to whether or not new information such as traffic jam information is obtained regarding the destination of the driver. Therefore, by presenting information that the driver thinks necessary in the direction of the destination, the driver can intuitively acquire the information and can safely drive. If the information is presented in a direction different from the destination, the information is presented in a location different from the driver's intuition, and there is a high possibility that it will hinder safe driving.

  In the present embodiment, it is shown that voice notification and sound effects are used when the destination arrival probability is high. Conversely, when the destination arrival probability is low, these voices and sound effects may be used. . The destination prediction is not always accurate, and there may be a plurality of destinations. At this time, not only the one having the highest destination arrival probability is effectively displayed, but also the voice, the sound effect, and the effective posting are performed when it is low or equivalent or difficult to judge. As a result, an effect of prompting the user to operate is generated. For example, by setting a destination by simply touching a posted destination candidate, there is an effect of easily acquiring information desired by the user without involving complicated processes.

  In the present embodiment, the posting control has performed detailed control based on the ranking of the destination arrival probability being the first place and the second place. However, the posting control is not limited to this. It is good also as controlling based on. For example, a threshold value may be provided and posted in detail when the destination arrival probability is 80% or more. A high probability means that there is a high possibility that the destination will be reached, and there is a high possibility that the destination information will be required. By controlling the posting, it becomes easier for the user to grasp the information. Conversely, when it is 30% or less, it may be simply posted, and may be switched to detailed posting when there is a user operation such as “destination setting”. The low probability means that the destination is not likely to reach the destination, it is not always necessary to post it as destination information, and it is more suitable for the user. Moreover, the effect of effective use of the notice screen is produced. Furthermore, instead of controlling according to each destination arrival probability, control may be performed by setting a threshold for the difference in destination arrival probability. For example, if the difference is 10% or less, such as the destination “super” where the destination arrival probability is 30% and the “convenience store” where the destination arrival probability is 20%, the details of the destination information are the same. The user may be prompted to perform an operation such as “determine destination”. The small difference in the destination arrival probability means that it is difficult to distinguish the destination from the current situation. By posting the destination information in the same way and prompting the user's operation, This produces the effect of reducing the cumbersome operation of the user. As described above, the destination prediction method does not necessarily go to the destination, but is only a prediction, and the arrival probability to the predicted destination varies depending on the driving situation. Further, the number of predicted destinations is not limited to one, and a plurality of predicted destinations may be calculated, and their probabilities vary depending on the situation. Therefore, as shown in the present invention, by posting in a mode according to the probability, it is possible to easily post according to the user's situation and needs, and it is possible to operate more safely and easily. It becomes.

  Next, operations up to posting of destination information according to the present invention will be described using a flowchart. FIG. 6 is a flowchart showing operations from the start of the movement destination display device 100 to the posting of movement destination information. In the case of a mobile terminal such as a car navigation system, the engine is started when the engine is started. At this time, it is determined whether or not the destination is set (step S100), and if the destination is set (Yes in step S100), movement such as traffic information of the destination and the route at the destination is moved. The destination information is acquired from the information providing server 109 or the like via the map information storage unit 105 and the network 108 (step S104). If it is not set (No in step S100), the current position is detected by the position information detection unit 102 (step S101), and the destination of the user is predicted (step S102). If there is a destination predicted from the current travel position (Yes in step S103), the destination information such as the predicted destination and traffic information related to the destination is transmitted via the map information storage unit 105 and the network 108. The information is acquired from the information providing server 109 or the like (step S104). Next, the posting rule is referred to (step S105), and the acquired destination information is posted on the posting unit 106 based on the posting rule (step S106).

  Hereinafter, this operation will be specifically described with reference to FIGS. 2, 98, 3, 4, and 5. For example, it is assumed that the destination has not been set and the vehicle has passed through a Δ △ intersection. The position information detection unit 102 detects the current position (step S101) and predicts the destination (step S102). Restaurant ΔΔ, convenience store XX, and supermarket □□ are predicted from the movement destination candidate list 201 in FIG. 2 (Yes in step S103). Next, the predicted commercial information of the restaurant △△, convenience store XX, supermarket □□, and traffic information of the route leading to the information are acquired from the information providing server 109 via the map information storage unit 105 or the network 108 (step S104). The obtained destination information is assumed to be 401 in FIG. Next, the posting control unit 104 posts the destination information on the posting unit 106 based on a posting rule (for example, 501 in FIG. 4) (step S106). FIG. 5 shows a screen posted on the posting unit 106. As shown in FIG. 5, the commercial information of the “restaurant” with the highest destination arrival probability is displayed in detail in the upper right of the display screen, and the “convenience store” and “super” with the low arrival probability are displayed briefly. .

  In the above embodiment, the posting control of information related to the destination (the destination and the route to the destination) is mainly related to the destination, but here, the destination is related to the route to the destination. Posting control will be described. Hereinafter, description will be made with reference to FIGS. 7, 8, 9, and 10.

  FIG. 7A is a table showing an example of a plurality of predicted destination candidates and the arrival probability for each candidate. FIG. 7B is a table showing an example of a posting rule when the route to the predicted destination candidate is displayed in different colors according to the arrival probability of each candidate. FIG. 7C shows a case where a route to a destination where the destination arrival probability exceeds a threshold (20% in this case) is color-coded with a route to a destination whose destination arrival probability is equal to or less than the threshold. It is a table | surface which shows an example of a posting rule. Reference numeral 2701 in FIG. 7A denotes a movement destination candidate list based on the movement history of the user accumulated in the movement destination prediction unit 107.

  The destination candidate list 2701 indicates that the number of passes through the “XX intersection” is 100 times. Further, after passing the “XX intersection”, the number of arrivals at the “ΔΔ intersection” as the destination is 90 times, and the destination arrival probability is 90 ÷ 100 = 90 (%). Similarly, there have been 50 arrivals at convenience store XX after passing through “△△ intersection” as a destination, including routes to the convenience store “△△ intersection → convenience store” as destination candidates, and the destination It shows that the arrival probability is 50/100 = 50 (%). Similarly, the destination “Δ triangle intersection → restaurant □□” indicates that the destination arrival probability is 40 (%).

  7702 in FIG. 7B is a posting rule stored in the posting control unit 104. The posting rule 2702 indicates a rule for posting the predicted destination (route to the destination). In the present embodiment, the color control information has been used as a control item for displaying the destination information, but it may be a posting item regarding the route to the destination. In the posting rule 2702, a destination (route) having a destination arrival probability of 80% or more is displayed in red, while a route of 50% or more and less than 80% is displayed in orange, and a route of 30% or more and less than 50% is displayed in yellow. The color etc. posted according to the movement destination arrival probability are shown.

  In FIG. 8, the destination prediction unit 107 predicts a destination, that is, a route to the destination based on the destination candidate list 2701, and the posting control unit 104 shows the route to the destination based on the posting rule 2702. Posted.

  Reference numeral 2801 in FIG. 8 indicates the current vehicle position of the user, and the map information is displayed together with the travel route 2802. Now, triggered by the fact that the user has passed the XX intersection, the destination prediction unit 107 predicts the destination based on the destination candidate list. In this case, it is predicted that the destination will reach the intersection at a Δ △ intersection with a probability of 90%, and after passing through the Δ △ intersection, it is predicted that the convenience store will have a probability of 50%, while the restaurant will have a probability of 40%. The The posting unit 106 posts the destination (route to the destination) based on the posting rule 2702 based on the destination arrival probability.

  According to the posting rule 2702, a route having a prediction probability of 80% or more is displayed in “red”, and after passing through the XX intersection, the probability of moving to the △△ intersection is 90%. To △△ intersection is posted in red. In this way, the driver can easily grasp the path by controlling the color so that it can be easily compared with other paths. Similarly, according to the posting rule 2702, the route from the Δ △ intersection to the convenience store XX (2803) is displayed in “orange”, while the route from the Δ △ intersection to the restaurant XX (2804) is displayed in “yellow”. . Thus, it is good also as posting so that a route may be grasped | ascertained easily compared with another route based on a movement destination arrival probability.

  Further, not only the route but also the user's action history accumulated in the destination prediction unit may be posted visually based on the (movement destination candidate list). Hereinafter, description will be made with reference to 2703 in FIG. 7C and FIG.

  The map information displayed on the display screen 2806 displays not only the route but also various information such as commercial information and traffic information. On the other hand, it is very complicated for the driver to grasp the necessary information from this information, and if he / she reads a huge amount of information one by one during driving, his attention to driving will be neglected. Therefore, based on the travel destination candidate list such as the user's past travel history, the area that the user is likely to move and the normal range of movement (hereinafter referred to as the movement area) are narrowed down to better understand the movement area. Post it easily.

  Reference numeral 2703 in FIG. 7 denotes posting rules stored in the posting control unit 104. The posting rule 2703 describes that, based on the user's destination list, a destination where the destination arrival probability exceeds a threshold (in this case, 20%) is posted in blue. The destinations that exceed the threshold set to a certain extent are the destinations that the user may move to, and the moving areas where the user is usually moving. An effect of facilitating grasping of the destination information is produced. Reference numeral 2805 in FIG. 8 shows the moving area visually posted in blue based on the posting rule 2703. The Δ △ intersection, the XX intersection, the convenience store XX, the restaurant □□, etc. all have a movement probability of 20% or more, and it can be seen that they are areas where the user is usually moving.

  Furthermore, it is good also as controlling the range posted visually according to a movement area. For example, even if the destination has the same destination arrival probability of 20% or more, it may be posted as an action area on the driving lane side, that is, in the vicinity of 100 m on the left lane side on a general road, while in the city area, near both lanes 100 m. Good. For example, even if you want information on convenience stores and gas stations at the same destination (route), it is cumbersome to park on the opposite lane side on a general road, and you want to post your lane side (that is, the left side) It is possible to meet the needs of

  Further, the information may not be always posted, but only when the user performs an operation. Hereinafter, description will be made with reference to FIGS.

  In the present embodiment, the destination and the route to the destination are defined as the destination. In addition, information on the destination such as the name and location of the destination and the facility, menu information available at the facility, route information on the route to the destination, traffic information, and the like are defined as destination information.

  FIG. 9 is a diagram showing an example of destination information when commercial information such as a store or a facility in the moving area is displayed together with the moving area shown in FIG. In FIG. 9, pop-up displays 2901, 2902, 2903, and 2904 such as “Messo (assuming petrol station), regular 103 yen”, “Convenience store, potato 180 yen”, and the like are the destination information shown above. This information is acquired from the information providing server 109 via the map information storage unit 105 or the network based on the destination predicted by the destination prediction unit 107.

  However, when this destination information is posted on the moving area 2805 as it is (FIG. 9), the posted information becomes excessive, resulting in a complicated and difficult-to-see screen, and is not preferable in a car navigation system with a limited screen area. In particular, when driving a vehicle, a large amount of information is displayed on the screen displaying the map, which often hinders confirmation of information such as route guidance displayed on the map. .

  FIG. 10 shows the location in the moving area shown in FIG. 8 where the location of the store, facility, etc. is displayed in a simple graphic, and the commercial information about the store is displayed for the first time when the graphic is touched with a finger. It is a figure which shows an example of previous information. Therefore, as shown in FIG. 10, it is simply displayed (for example, the location of the store is displayed with a simple graphic such as a triangle), and the fact that there is destination information is effectively posted (for example, the triangle is red and the driver is displayed). In the touch panel, etc., when the triangle is touched, the destination information of the touched facility or the like (for example, a pop-up display 2901 such as a gasoline fee at the gas station “Messo”) is displayed. May be posted. As a result, when the driver needs information other than route guidance, detailed information can be acquired by simply touching the screen.

  Hereinafter, the operation of the posting method will be described with reference to FIGS. 11, 12, 13, 14, and 15. FIG. 11 is a functional block diagram showing the overall configuration of the destination display device for posting the destination information based on the input from the touch panel or the like as shown in FIG. Since the components shown in FIG. 1 have already been described, the same reference numerals are used and description thereof is omitted.

  Reference numeral 121 in FIG. 11 denotes an input unit in a touch panel or the like. Generally, the touch panel can detect the coordinates of the touched part. Therefore, the input coordinate calculation unit 122 calculates the horizontal and vertical coordinates of the position on the posting screen where the touched portion corresponds.

  FIG. 12 is a diagram illustrating the relationship between the position on the posting screen touched by the user and the coordinates (150, 300) calculated by the input coordinate calculation unit 122 (the unit is, for example, a pixel). For example, when the input coordinate calculation unit 122 has the posting screen shown in FIG. 4 with a shape in which the four corners of the rectangular parallelepiped are cut out in an arc shape, the upper left corner of the rectangular parallelepiped is the coordinates (0, 0) of the (x, y) coordinates. And The input coordinate calculation unit 122 increments the x coordinate by “1” every time when the touch position is shifted by 1 pixel from the coordinate (0, 0), and changes the y coordinate by “1” every time when the pixel is shifted downward. Increment by 1 ”and calculate the coordinates of the position touched by the finger.

  On the other hand, the destination information posting coordinate calculation unit 123 is a processing unit that calculates the destination information posting coordinates. The destination information posting coordinates are the coordinates of a point that functions as a kind of button for posting the destination information, and when the user touches the coordinates, that is, coincides with the input coordinates, or the destination coordinates When the distance from the pointed coordinate is smaller than a predetermined value, the destination information is posted. Details will be described below with reference to FIGS.

  FIG. 13 is a table showing an example of destination information including commercial information such as stores and facilities in the moving area. Reference numeral 3601 in FIG. 13 denotes the acquired destination information. As the destination information, for example, a destination name “Messo”, a position “XX city XX town”, and commercial information “regular 103 yen, high-octane 113 yen” and the like are acquired.

  As described above, the destination information is acquired from the information providing server 109 via the map information storage unit 105 or the network 108 based on the destination predicted by the destination prediction unit.

  FIG. 14A is a diagram showing an example of map information posted on the posting screen based on the current position. FIG. 14B is a diagram showing the coordinates of the landmarks in the moving area and the effective range where it is recognized that the coordinates are touched. FIG. 14C is a table showing the relationship between the coordinates of the part touched with the finger in the input unit 121 and the commercial information (landmark information) displayed according to the coordinates. On the other hand, in the posting unit 106 (106 in FIG. 14), the user's current location (3602 in FIG. 14) detected by the location information detection unit 102 and the map acquired from the map information storage unit 105 with reference to the current location. Information and the like are posted under the control of the posting control unit 104.

  The information posted on the posting unit is generally searched for map information to be posted from the map information storage unit 105 such as a hard disk or DVD based on the detected current position information, and posted together with the current position. . The posting in this embodiment is also the same.

  That is, based on the current position (3602), the map information MAP10 (3605 in FIG. 14) is calculated by the map information storage unit 105 as a map corresponding to this position, and this MAP10 is posted together with the current position. Suppose that it is (a) of FIG.

  On the other hand, map information generally stores image information, route information used for route search, etc., name as landmark information, position information, etc. in a hierarchical structure. Furthermore, the landmark information is posted on the current posting screen using the landmark information. It is assumed that the map information in the present embodiment is also accumulated in this way (3605 in FIG. 14). Further, the position on the screen is made to correspond to the position of the latitude and longitude, which is the landmark information which is one of the map information, and is posted on the posting section.

  For example, 3603 in FIG. 14A is displayed on the current posting unit 106 based on the latitude and longitude information “latitude XX longitude □□” of the landmark information “Meso”.

  On the other hand, the destination information posting coordinate calculation unit 123 calculates the destination information posting coordinates based on the positions of the landmarks on the map posted on the screen in this way. That is, the coordinates on the posting screen are calculated from the latitude and longitude information “latitude XX longitude □□” of the landmark information “Meso” and the current display position 3603.

  Reference numeral 3604 denotes “Messo” destination information posting coordinates (145, 295) (units are pixels) on the screen displaying the current map. The destination information posting coordinates (145, 295) serve as a button for posting the destination information of “Messo”.

  The destination information posting determination unit 124 controls the posting of destination information based on the input coordinates and the destination information posting coordinates. The posting control is performed, for example, by determining whether the destination information posting coordinates and the input coordinates match or match within a predetermined range, and if they match (that is, the button is pressed). The destination information is posted on the posting unit 106. This will be described below with reference to the drawings.

  In FIG. 12, the input coordinates touched by the user are (150, 300) pixels. On the other hand, the destination information posting coordinates serving as a button for posting the destination information of the gas station “Messo” are (145, 295) pixels on the current screen (FIG. 14).

  It is assumed that an effective area within a predetermined range is provided in the destination information display coordinates. For example, the radius R (10 pixels) is set with the destination information posting coordinate as the center. Here, the predetermined range is represented by a circle, but it is also possible to set it in a shape such as a rectangle.

  The operation of the touch panel in a car such as a car navigation system is very difficult, and the operation can be performed more easily by providing the effective range in this way.

  At this time, the input coordinates (150, 300) and the movement destination information display coordinates (145, 295) are not coincident, but are included in the effective area of the movement destination information display coordinates, so it is determined that the button has been pressed.

  Therefore, the destination information posting determination unit 124 posts the destination information of “Messo”, “Regular 103 yen, High-octane 113 yen” (FIG. 10).

  Next, the operation flow of posting the destination information in the present invention configured by the functional block diagram of FIG. 11 will be described using the flowchart of FIG. 15 and FIGS. 12, 14, and 10. FIG. FIG. 15 is a flowchart showing the operation of the destination information posting determination unit 124 when the destination information related to a landmark is displayed when the landmark displayed in the movement area is touched with a finger. is there.

  First, destination information is acquired based on the destination predicted by the destination prediction unit 103 (step S3701). The obtained destination information is assumed to be 3601 in FIG.

  Next, the destination information posting coordinates calculation unit 123 calculates the destination information posting coordinates (step S3702).

  For example, the destination information posting coordinates of the gas station “Messo” are calculated as coordinates (145, 295) based on the display position 3603 of the current posting screen (3604 in FIG. 14).

  Next, whether or not there is an input from the user on the touch panel or the like is detected at any time by the input unit 121 (step S3703).

  If not detected, the destination information display coordinates are calculated again, and the input is detected (the loop from No in step S3703 to step S3702). This is because the position of “Messo” has also moved on the screen due to the movement of the vehicle position or the change of the scale of the map, etc., and the destination information posting coordinates need to be recalculated as needed.

  On the other hand, when there is an input from the user (Yes in step S3703), the input coordinate calculation unit 122 calculates the input coordinates (step S3704). As shown in FIG. 12, the position touched by the user is calculated as coordinates (150, 300) pixels on the screen.

  The destination information posting determination unit 124 performs matching between the input coordinates and the destination information posting coordinates to determine whether or not to display the destination information (step S3705).

  The matching is performed by providing a certain effective area in the movement destination information display coordinates, and when it is within the area (Yes in step S3706), the movement destination information is posted on the assumption that the button is pressed (step S3707).

  On the other hand, if the position is not included in any area (No in step S3706), the destination information is detected again and the input is detected (step S3702).

  In the present embodiment, as shown in FIG. 14B, the effective area has a radius of 10 pixels with the movement destination information display coordinates as the center.

  Since the input coordinates (150, 300) touched by the user are included in an area having a radius of 10 pixels centered on the movement destination information display coordinates (145, 295) of “Meso”, it is determined that the match has occurred, and “Meso” Destination information such as “Regular 103 Yen, High Oct 113 Yen” is posted on the posting unit 106.

  FIG. 14B shows that the destination information “Regular 103 yen, High-octane 113 yen” was posted by the user touching the gas station “Messo”.

  When information on a certain facility is obtained, it is often undesirable to post information in many cases, which is not preferable for driving. However, as shown above, information on the facility is posted just by touching the facility. In other words, this is effective for a car navigation system with a limited display area, and allows the user to easily grasp the information. In particular, when you touch a location that is not relevant to the driver during driving, detailed information is not displayed, and detailed information can be displayed only when the driver touches a location related to the route that the driver is going to travel from now on. . This is a particularly effective method when it is difficult to touch an accurate location on the screen while driving the vehicle.

  In the present embodiment, for the posting of the destination information, the destination information posting coordinates are calculated based on the landmark of the facility such as a store, but the present invention is not limited to this. For example, information on an intersection may be based on the intersection, and traffic information on the route may be based on the route.

  In the present embodiment, detailed information related to a landmark is displayed simply by touching the screen displaying the landmark. While the vehicle is stopped, the driver may touch the screen and trace the route on the screen on which the map is displayed in order to confirm the route. In order to distinguish between the operation of tracing the route and the operation of confirming detailed information such as the landmark, only when the coordinates where the landmark is displayed are touched at the same coordinate for a predetermined time (for example, 3 seconds) Detailed information can also be presented. This makes it possible to determine the intention of the driver touching the screen when displaying related information necessary for the driver.

  In the present embodiment, when the user touches a position within a predetermined range with respect to the coordinates where the landmark is displayed, the information on the landmark is displayed. However, since the driver is usually driving, there are various situations in which information is obtained by touching the screen. For example, it may be difficult to accurately touch the intended screen position while traveling at high speed, or the screen position may be accurately specified while the vehicle is stopped. Therefore, in the present embodiment, as shown in FIG. 14, when a range of a value of 10 points is touched, detailed information is displayed. It is also possible to change. For example, when the vehicle speed is higher than a predetermined value, the radius value may be 20 points. Moreover, you may change the range where detailed information is displayed according to the conditions of vehicles, such as when the vehicle is turning in the intersection, or when stopping at a signal. In addition, calculate the time period since the car navigation system was installed, and the extent to which the touch panel responds depends on how well you are used to operating the car navigation system, and whether you are fully used to the route from the past movement history. It may be changed. Further, when the vehicle is moving, the map screen is often automatically scrolled by the movement of the vehicle so that the position of the own vehicle is in the center. When the screen scrolls at high speed, it may be difficult to touch an accurate position with a touch panel or the like. Therefore, the range in which the touch panel of FIG. 14 reacts may be changed according to the speed of scrolling of the screen. Conversely, when the touch panel is valid and the vehicle is traveling at a high speed, the user can sufficiently touch the position on the screen by changing the level of detail of the map displayed on the screen. You may be able to do that.

  In the present embodiment, an example in which a place is specified with a touch panel on the screen has been described. Further, when the position is designated with a remote controller or the like, an easy-to-use interface can be realized by executing the same processing.

  In a mobile terminal with a limited screen, such as a car navigation system, it is necessary to use the screen effectively in order to post destination information. On the other hand, since the driver is driving, it is necessary to easily grasp necessary destination information. Thus, by posting the route to the destination more easily according to the destination arrival probability as described above, an effect of improving safety is also produced. Furthermore, the necessary destination information may not be always posted, but may be simply posted and posted only after an operation. It is possible to effectively use a screen such as a limited car navigation system.

  Although the threshold value of the movement area in the posting rule is based on the movement destination arrival probability, it is not limited to this, and may be the number of movements based on the movement history of the user. For example, an area that the user has visited even once may be posted as a moving area.

  When predicting the destination, the probability of reaching the destination varies depending on the situation, and does not necessarily move to the destination, such as calculating a plurality of candidates and prompting the user's operation, It is necessary to improve the prediction accuracy. However, on the other hand, when a plurality of predicted destination candidates are to be posted in the same manner, the amount of information that can be posted is limited in a mobile terminal such as a car navigation system in which the size of the posting screen is limited. Further, when the driver is prompted to perform an operation based on the information, a complicated operation in a limited space in the vehicle is complicated for the driver not only during driving but also when the vehicle is stopped. However, as described above, the user's driving load is provided by including the posting control unit 104 that performs posting control on a plurality of destinations and destination information related to destinations in a format suitable for the user according to the destination arrival probability. It is possible to easily grasp without disturbing.

(Embodiment 2)
In the first embodiment, the posting of the moving destination is posted based on the probability of reaching the moving destination and the probability of reaching the moving destination. A high destination arrival probability means that the probability of going to the predicted destination is high, and the destination information such as the destination and traffic information about the destination can be easily obtained in a format suitable for the user. This is because it is necessary to grasp. On the other hand, the destination information needs to be controlled according to the current position and the distance to the destination. For example, the same destination information is also commercial information related to a more detailed destination when the distance is close or information about the destination, and may pass if the information is not posted early because the distance is close. . On the other hand, when the distance is long, there is a margin in the posting timing, and the necessary information is different from the route information and traffic information to the destination and the information required by the user according to the distance. By using the present invention to post appropriate information to the user in an appropriate format according to the distance, it is possible to reduce the user's driving load, improve operability, and easily grasp the information. . Here, a method of controlling and posting the destination information based on the current position and the distance to the destination will be described.

  The block diagram showing the overall configuration of the destination display apparatus in the present embodiment is the same as that in the first embodiment (FIG. 1), and the same components as those in the first embodiment have already been described. The same reference numerals are used for the description, and the description is omitted.

  In the present embodiment, the posting control unit 104 displays the destination information to be posted according to the current user position detected by the location information detection unit 102 and the distance to the destination predicted by the destination prediction unit 107. Control and post on the bulletin board 106.

  FIG. 16A shows a case where the destination information is displayed in a different mode (for example, the size of the posting frame, the posting position in the posting screen, the posting time, the color, etc.) according to the distance to the destination. It is a table | surface which shows an example of a rule. FIG. 16B shows different modes (for example, the type of destination information posted, the size of the posting frame, the posting position in the posting screen, the posting time, the color, etc.) depending on the distance to the destination. It is a table | surface which shows an example of the posting rule in the case of posting movement destination information. In FIG. 16, reference numeral 502 denotes a posting rule according to the second embodiment of the present invention. The posting rule 501 of the first embodiment is a rule that states that the details of the posting are controlled based on the destination arrival probability, whereas the posting rule 502 in the present embodiment Posting control is performed according to the distance. For example, the posting method when the remaining distance to the destination is 2 km or less, the posting method when the distance is 2 km to 10 km, the posting method when the distance is 10 km or more, etc., and the posting control according to the distance from the current position to the destination Suppose that it is written. The contents to be controlled are the same as in the first embodiment, for example, the size, position, time, color, format, and the level of detail for posting the destination information. It is assumed that each is determined according to the distance to the destination. For example, the destination information whose distance to the destination is 2 km or less is “150 × 100 pixels” in size, posted on the top right of the posting screen, that is, near the driver, the posting time is 15 seconds, and grasped by the driver The map near the destination is displayed in 3D with easy-to-use colors, and the details of how to post such as voice reading and alerting the driver with sound effects are shown in detail.

  In addition, when the distance to the destination is close to 2 km or less, it can also be represented by an enlarged view of the current position and the destination to enter, while when the distance is far, a wide area display, etc. The scale can also be controlled. In addition, destination information that is far from the destination is displayed with a lower level of detail and smaller size than the destination that is closer to the destination distance, and the display position is the direction of the destination and simple posting. Etc. are written.

  FIG. 17 shows a screen in which the destination information is posted on the posting unit 106 based on the posting rule 502 by the posting control unit 104. As in the first embodiment, on the screen of the bulletin board 106, 601 indicates the position of the vehicle where the user is currently moving, and 602 indicates the traveling road. FIG. 18 is a table showing an example of a destination candidate list that is predicted when a specific landmark is passed. From the destination candidate list 221 (FIG. 18), it is predicted that “XX department store” and “supermarket” are predicted as destination candidates after passing through the intersection, and these destination information are posted. Yes. As a result of calculating the distance between the current position of the user detected by the position information detection unit 102 and each predicted destination, “XX department store” is 2 km or less. Therefore, based on the posting rule 502, “XX department store” "Is displayed at a position close to the driver with a predetermined size based on the posting rule 502 such as" 150 × 100 pixels "(623 in FIG. 17). Candidates for operations related to the destination, such as “parking reservation” or “sales information” or “restaurant reservation” where you can see commercial information in detail as operations that will or will be performed more frequently (624 in FIG. 17). These operation candidates are accumulated, for example, according to the user's operation history and posted based on the history (the movement destination operation history storage unit), as in the first embodiment.

  Thus, by posting the destination information at a predetermined size, for example, at a position close to the driver, it is possible to easily grasp necessary information without disturbing the driving load even during driving. Also, not only the size but also the color of the destination information, if the distance is close, make the color opposite to the background color and the driver's attention easier, and if the distance is closer, it will be posted more realistically in 3D The effect of making the driver's information grasping easier is produced. Further, by displaying the operation candidates related to the movement destination in an appropriate size at a position close to the driver, it is possible to facilitate the operation by the driver. Further, in the case of “OO department store” which is close to the destination, the scale of the map near the destination “XX department store” is displayed in detail. As a result, the information on the vicinity of the destination and surroundings, for example, information that is difficult to grasp at the current scale, such as the position and state of the parking lot (631 in FIG. 17), can be posted in detail as in the present embodiment. It becomes possible to grasp in advance.

  In the case of a mobile terminal where the size of the posting screen such as car navigation is limited, effective usage of the posting screen becomes a problem, but not only the current vehicle position and moving route map, but also the destination and By posting the traffic information and route information related to the destination in a method appropriate for the user, it becomes possible for the driver to easily grasp only necessary information without performing a complicated operation. In addition, by notifying the destination information with sound effects (626 in FIG. 17) and voice (627 in FIG. 17), it is possible to alert the driver and grasp necessary information without disturbing the driving load of the driver. It becomes. Furthermore, the posting control in the present embodiment is based on the distance to the destination. For example, when the distance to the destination is 2 km or less, there is a risk of passing by when the distance is short. As in the form of, it is possible to improve the effect of attracting attention by performing detailed posting as the distance is shorter.

  On the other hand, “Super” destination information that is far away from the destination is smaller than “XX Department Store”, and is far from the driver, a location that does not interfere with the current driving display, or the destination direction on the map. And posted in the vicinity of the destination (628 in FIG. 17). As a result, it is possible to effectively use the restricted posting screen. If the distance to the destination is short, the timing may be too late and it may pass, so if necessary, detailed information must be posted early, but if the distance to the destination is far, the movement Detailed information about the destination is not always necessary, and by simply posting the destination information that is far away to the destination, even if you actually go to the "supermarket" instead of "XX Department Store" An effect of prompting a user operation such as setting as a destination simply by touching the touch panel is produced.

  In the present embodiment, the posting control is performed based only on the distance to the destination. However, if there is no significant difference in the destination arrival probability, for example, the destination arrival probability to a certain destination is 40%. When the destination arrival probability to the destination is 50% and the difference is 10% or less, the posting control may be performed according to the distance to the destination. Further, by setting a threshold for the destination arrival probability, for example, when the destination arrival probability is 80% or more, detailed destination information posting is performed in a predetermined size even when the destination is far, regardless of the distance. It is good to do. This reduces the complexity of the operation and makes it easier to grasp.

  In this embodiment, the destination information is controlled according to the distance to the destination, but is not limited to the distance to the destination. The number of intersections to the destination, the required time to the destination, and traffic congestion It may be changed according to the amount of information. For example, when there are many intersections or in urban areas, there is a large amount of information to be posted, such as destination route information and traffic information, and there is limited travel destination information such as commercial information that can be posted, so only necessary information is simple It is good also as posting. Thereby, complicated operations can be reduced, and the posting screen can be used effectively. On the other hand, if the travel route is a highway, a road with a small number of intersections, or if there is little traffic jam, the amount of information to be posted is small, so control to display the destination information in detail Also good.

  In the present embodiment, for example, the posting control is performed by setting 2 km or less as “near” and 10 km or more as “far”, but the present invention is not limited to this. It is good also as accumulating the information of the usual driving | running | working history, and controlling based on this information. For example, if the average travel distance of the user is usually 20 km, it may be automatically controlled based on the travel history such as “close” when the distance is shorter than this, “far” when the distance is 40 km or more. Furthermore, it may be changed according to the weather, such as “distant” even if it is 20 km or more on a rainy day. Alternatively, the scale of this distance may be changed according to road conditions such as traffic jam information.

  When predicting the destination, the probability of reaching the destination varies depending on the situation, and does not necessarily move to the destination, such as calculating a plurality of candidates and prompting the user's operation, It is necessary to improve the prediction accuracy. However, when posting a plurality of predicted destination candidates in the same manner, there are restrictions on the posting screen, and complicated operations in a limited space in the vehicle not only during driving but also during stopping are complicated for the driver. On the other hand, as in the present embodiment of the present invention, by controlling the posting according to the distance to the destination, it may be necessary to post detailed destination information when the distance is short. is there. On the other hand, when the distance is still enough, the driver can be easily posted, traffic information can be posted, or the destination can be set simply by touching.

  Next, operations up to posting of destination information in the present embodiment will be described using a flowchart. FIG. 19 is a flowchart showing the operation from the start to the posting of the destination display device. The same reference numerals are assigned to the same steps as those in the first embodiment. In the case of a mobile terminal such as a car navigation system, the engine is started when the engine is started. At this time, it is determined whether or not the destination is set (step S100), and if the destination is set (Yes in step S101), movement such as traffic information of the destination and the route at the destination is moved. The destination information is acquired from the information providing server 109 or the like via the map information storage unit 105 and the network 108 (step S104). If it is not set (No in step S100), the current position is detected by the position information detection unit 102 (step S101), and the destination of the user is predicted (step S102). If there is a destination predicted from the current travel position (Yes in step S103), the destination information such as the predicted destination and traffic information related to the destination is transmitted via the map information storage unit 105 and the network 108. The information is acquired from the information providing server 109 or the like (step S104). Here, the posting control unit 104 calculates the distance to the destination in order to control the posting according to the distance to the destination (step S201). Next, the posting rule is referred to (step S105), and the acquired destination information is posted on the posting unit 106 based on the posting rule (step S106).

  Hereinafter, this operation will be specifically described with reference to FIG. 16, FIG. 17, and FIG. For example, it is assumed that the destination has not been set and the vehicle has passed an intersection. The position information detection unit 102 detects the current position (step S101) and predicts the destination (step S102). “XX department store” and “supermarket” are predicted from the destination candidate list 221 of FIG. 18 (Yes in step S103). Next, the predicted commercial information of “XX department store” and “supermarket”, traffic information on the route to the commercial information, and the like are acquired from the information providing server 109 via the map information storage unit 105 or the network 108 (step S104). . Next, the posting control unit 104 posts it on the posting unit 106 based on the posting rule (for example, 502 in FIG. 16) for posting the destination information (step S106). FIG. 17 shows a screen posted on the posting unit 106.

  The timing for posting in this embodiment is linked to the destination prediction, for example, predicting the destination by passing through the Δ △ intersection, and posting if predicted, but 5 minutes after departure Predicted after a predetermined period of time, etc., or the predicted destination may be posted, or posted when the remaining 2 km to the predicted destination, and posted using a predetermined time or distance It is good. Further, when the vehicle stops due to a signal or the like, or when the vehicle speed falls below a predetermined speed, the destination information may be posted to prompt the user's operation. Further, the posting time may be from the stop until the vehicle starts running. As a result, during driving, the usual mode such as the vehicle position and driving map will be posted, and detailed information on the destination will be notified when the vehicle stops. Detailed information on the destination can be safely and without complicated operations by the driver. Information can be notified.

  In this embodiment, the geographic information posted in the destination information is in the vicinity of the destination and the destination within a predetermined range, but the scale is changed so that the entire route from the current position to the destination is included. It is good as well. Hereinafter, a description will be given with reference to FIG.

  FIG. 20 is a diagram illustrating an example of posting in the case where detailed destination information is posted in a predetermined size when the destination arrival probability exceeds a threshold even if the distance from the current position is long. . FIG. 20 shows a company that is predicted from a destination candidate (203 in FIG. 2) and posted as destination information at a predetermined timing. In this case, although the distance to the destination is far, the destination arrival probability is 90%, which is equal to or higher than a predetermined threshold value, so the posting rule 503 (FIG. 16) is used. As with the posting rules 501 and 502, the posting rule 503 includes detailed rules such as the size and position of the destination information to be posted and the contents of the destination information to be posted.

  The contents of the destination information to be posted are described with importance, for example, double circle, circle, triangle, etc. for each item such as commercial information, traffic jam information, detour route information (posted destination information importance) Based on this, posts of high importance are posted.

  In the current scale, the company that is the destination does not fit on the posting screen, so the rule “2 km to 10 km” is used for the distance to the destination in the posting rule 503, the scale is reduced, and the company and the route ( 701 in FIG. 20), traffic information (704 in FIG. 20), distance to the company and arrival time (703 in FIG. 20), “TEL”, “email to boss”, etc. as operation candidates (702 in FIG. 20) Is posted as destination information.

  When the distance to the destination is far, the information that the user wants is not information near the destination, but often traffic information, distance, arrival time, etc., and the destination and destination information as in this method By controlling and posting, it is possible to easily grasp information required by the driver by effectively using the limited posting screen without disturbing the driving load of the driver. It should be noted that instead of reducing the scale and posting the whole, it is possible to scroll and post the destination information. Hereinafter, a description will be given with reference to FIG.

  FIG. 21A is a diagram illustrating a display example of destination information at the starting point when the route to the current position is scroll-displayed starting from the company that is the predicted destination. FIG. 21B is a diagram showing a display example in which the scroll screen 801 shown in FIG. 21A is set as the starting point, and the scroll screen 802 at the end point is matched with the current posting screen. Note that the arrow shown on the right side of FIG. 21B indicates the direction of scrolling (scrolling to follow the path in reverse). In FIG. 21, a company is similarly predicted as a destination, and the entire route to the company is scrolled so as to trace back the route planned to travel to the current position starting from the company at a predetermined timing. Are displayed on the posting screen (801 to 802 in FIG. 21). Even when the scale is too small and it is difficult to grasp the destination information, the scrolling display in this way makes it possible to easily grasp the destination information without disturbing the driving load.

  Furthermore, when a plurality of calculated destinations are divided at a certain intersection or the like as a branch, as shown in FIG. 22, the branch point is scrolled and displayed in the same screen, and after the branch point, the screen is divided and scrolled. It is also possible to make it. FIG. 22A is a diagram showing an example in which a route to two destinations is scroll-displayed in the same display frame up to a branch point. FIG. 22B is a diagram illustrating an example in which each route is scrolled in a display frame for each destination after the route to the two destinations branches. 901 in FIG. 22 indicates that “company” and “convenience store” are predicted as destinations. Since the route between “Company” and “Convenience Store” is the same, it is posted on one screen in this way (901 in FIG. 22) and divided and posted along with the scroll of the route (902 in FIG. 22 is “Company”). ”In FIG. 22 indicates“ Convenience store ”). If a plurality of destinations are posted with the entire route up to that reduced, there is a risk that information on current travel will be blocked on a restricted posting screen, making it difficult to grasp. In addition, there is a risk that information will be difficult to grasp due to excessive reduction. By using this method, it becomes possible for the user to easily grasp necessary information without disturbing the driving load of a plurality of destination information.

  In the present embodiment and the first embodiment, the posted destination is the destination and the destination arrival probability obtained by the movement prediction. However, the destination is not limited to this, and a plurality of destinations are set by itself. These destinations may be effectively posted using the posting method of the present invention. In this case, the posting control unit 104 does not control the posting method based on the distance to the destination or the destination arrival probability, but controls the posting based on the order, arrival time, importance, etc. through a plurality of destinations. For example, even if the user sets multiple destinations as destinations or detour points, the closer the arrival time to the destination, the larger the destination, the higher the level of detail near the driver, and the more effectively Good. Alternatively, the set destination may be so large as to be important, and the degree of detail may be effectively posted at a position near the driver.

  In this embodiment, the destination information related to the destination is controlled based on the posting rule corresponding to the distance to the destination. However, the destination information may be controlled based on the category of the destination. The geographical information posted as the destination information has been the destination and the predetermined range, the vicinity of the destination, or the entire route to the destination, but is not limited to this. For example, when the distance to the destination is far, the necessary information is not limited to information related to only the destination, but a category may be provided, and posting control may be performed so as to include the same category in the vicinity. . When the distance to the destination is far, the driver's action can be promoted by posting information belonging to the same category as a candidate. Hereinafter, a specific description will be given with reference to FIGS. 23, 24, 25, and 26.

  FIG. 23 is a diagram illustrating an example of the destination information of the same category in the vicinity that is posted together with the destination information of the destination when the distance from the current position to the destination is long. Reference numeral 3001 in FIG. 23 denotes a travel position of the user, which is posted on the screen of the bulletin board together with the travel route 3002 and the map information.

  FIG. 24A is a movement destination candidate list showing an example of the arrival probability to the movement destination candidate predicted when a predetermined landmark is passed. Reference numeral 3101 in FIG. 24 is a destination candidate list accumulated in the destination prediction unit 107 based on the user's travel history. Similar to the prediction method described above, 3101 is a trigger for passing through the XX intersection. This indicates that it is predicted to move to “family restaurant” (movement destination arrival probability 90%).

  On the other hand, the bulletin board control unit 104 acquires destination information (information about the destination and the route to the destination) based on the predicted destination. FIG. 24B is a table showing an example of destination information including commercial information such as facilities in the vicinity of destination candidates belonging to the same category. Reference numeral 3102 denotes destination information relating to this destination “family restaurant”. Like the destination information 401, location information, commercial information, etc. are acquired from the information providing server via the map information storage unit 105 or the network. Has been. Further, here, the category of the “family restaurant” facility is acquired as “restaurant”. The facility category indicates a classification to which the facility belongs, and may be stored in advance in the map information storage unit 105 or may be acquired from the information providing server 109.

  Further, this destination information is not limited to information only about the destination, but may be within a radius of 500 m (within a diameter of 1 km), for example, centering on the destination (FIG. 23). The destination information 3102 includes not only “family restaurant” information as a destination but also location information such as “ramen restaurant” and “sushi restaurant” within a radius of 500 m, commercial information, and information such as the facility category “restaurant”. Has been acquired.

  FIG. 24C is a table showing an example of a posting rule when controlling whether or not to display commercial information such as facilities belonging to the same category according to the distance from the current position to the destination. On the other hand, the posting rule 3103 stored in the posting control unit 104 describes a rule for controlling information to be posted according to the distance to the destination, like the posting rule 503. Further, here, “same category information” is provided as an item of importance of the posting destination information. This “same category information” is not only information related to the destination but also information belonging to the same category as the destination. In this case, if the distance to the destination is 10 km or more, it is posted. It is written. On the other hand, when the distance to the destination is short (in this case, less than 2 km), it is written that it is not posted.

  Here, it is assumed that the distance to the destination “family restaurant” is 10 km or more. FIG. 25 is a diagram illustrating an example of a posting in which a facility and the like belonging to the same category are posted together when the distance from the current position to the destination is long. At this time, since the distance to the destination “family restaurant” is as long as 10 km or more, the bulletin board control unit 104 uses the information belonging to the same category, the information of “ramen shop”, “sushi shop” as “others” as the bulletin destination information 3201. As "candidates" (FIG. 25).

  In addition, for example, when the destination is “amusement park (the category is an entertainment facility)”, the same category such as “boring” and “karaoke” is posted as candidates.

  When the distance to the destination facility or shop is far, the user does not necessarily need only the destination information, and information belonging to the same category in the vicinity of the destination or in the direction of the destination, for example, By posting as “other candidates”, it is possible to easily grasp necessary information in the vicinity of the destination without performing a complicated operation.

  The rule for posting the same category is controlled according to the distance to the destination, such as 10 km or more, but it is not the distance but the arrival time, more accurate arrival time considering traffic information, and the number of signals It is good also as controlling according to etc.

  For example, if the arrival time to the destination is 30 minutes, the same category may be posted as “other candidates” within a range that can be reached in 35 minutes (the difference from 30 minutes is 5 minutes). . For example, even if it is the same category within the same radius of 500 m, the predicted destination can be reached in 30 minutes, while the candidate facility is also 30 minutes, or a destination that takes more than 30 minutes as a candidate. Therefore, it is possible to provide more necessary information to the user by controlling according to the distance to the destination and the arrival time.

  Further, the information around the destination is, for example, a radius of 500 m, but the vicinity range may be controlled according to the distance and the arrival time.

  For example, when the distance to the destination is relatively close to 1 km, if the location is 500 m away from the destination, it may be a detour from the current user position. On the other hand, if the distance to the destination is relatively far, such as 10 km, even if there is another candidate at a location 500 m away from the destination, There is not much difference in arrival time, and it may be posted as a candidate. FIG. 26 is a diagram illustrating the existence range of facilities or the like in the same category when controlling the same category information posted as “other candidates” according to the distance from the current position to the destination candidate. For example, in FIG. 26, the destination is “Restaurant”, and if the radius is 500 m, “Udonya” is listed as a candidate. On the other hand, if the distance to the destination is 2 km to less than 10 in this case, the range is narrowed down to a radius of 250 m (posting rule 3103). "Candidate" is not included.

  When the distance to the destination is long, the information to be provided may be controlled according to the frequency of updating the information to be provided. Hereinafter, a description will be given with reference to FIG. FIG. 27 is a car navigation screen on which a current position of the user and a map around the current position are displayed. In addition, “supermarket” and “XX department store” are predicted as destinations, and a route (shown by a black dotted line) to these destinations is shown. Further, information around each destination is shown in the subwindow as destination information. For example, the destination information of the destination “XX department store” is shown at the right end of the display screen. The upper part of the display screen shows destination information of the destination “Super”. Here, it is assumed that there is information about a parking lot as each destination information. When moving by car, one of the matters of interest to the user is the presence or absence of a parking lot at the destination or the availability of the parking lot. By providing these automatically, the user can grasp necessary information without complicated operations. On the other hand, when the distance to the destination is far, depending on the destination, the frequency of entering and exiting the parking lot is intense, and even if the current parking lot availability is displayed, the situation will be around when the user arrives. It may change and become unnecessary information. Therefore, it is possible to refer to the update frequency of the parking lot and refer to the update frequency of the information regarding the destination, for example, if the update frequency is high, the display is not necessary yet, and the mode may be changed.

  For example, in FIG. 27, it is assumed that the parking lot of “XX department store” has a lot of entry and exit, and information update of empty and full cars is intense. In this case, if the location of “XX department store” is relatively far away, it is highly likely that the situation will change even if information on these parking lots is provided now, so the display is refrained. On the other hand, it is assumed that the parking lot of “supermarket” is relatively empty and has little information update. In this case, since it is unlikely that the situation will change even if the parking lot information is now provided, “no parking lot available” is displayed and the vehicle is empty.

  In this way, by controlling the information to be posted according to the distance to the destination or the like, it is possible to easily grasp necessary information without complicated operations. In the present embodiment, the content of the information to be presented is controlled according to the predicted distance to the destination. Furthermore, the display contents can be changed according to the size, resolution, performance, etc. of the display screen of the in-vehicle display. In particular, as shown in FIG. 1, when commercial information is acquired via a network, it is a difficult task to create commercial content according to the models of all in-vehicle displays. Moreover, the information acquired via a network is the newest information, and the performance of the vehicle-mounted display of the user who owns a car navigation system for a long time may not be enough to display the newest information acquired via a network. In addition, the car navigation main body equipped with a hard disk or the like is the same, and only the in-vehicle display may be replaced, and it is necessary to change the display contents according to the display performance of the in-vehicle display. For example, when the resolution of the in-vehicle display is 640 * 480 dots, the display area with the highest certainty of destination is 150 * 100 dots, but when it is 800 * 600 dots, 200 * It is also possible to change the display area according to the performance of the in-vehicle display, such as displaying with 150 dots. Furthermore, in the case of a car navigation system that mainly uses voice information, it is necessary to express the level of detail of the information by voice.

  As described above, by providing the posting control unit 104 that performs posting control on a plurality of destinations and destination information related to the destinations in a format suitable for the user according to the situation, the user's driving load is not hindered. It becomes possible to grasp easily. In particular, when the information displayed on the display device is not properly controlled in driving the vehicle, the driving is hindered and safe movement cannot be realized.

(Embodiment 3)
In the first embodiment, the content of presenting information such as a route regarding each destination is changed based on the predicted certainty of the destination. In the second embodiment, the content of information to be presented is changed according to the predicted distance to the destination. Furthermore, in the present embodiment, an example will be described in which the content of information to be presented is changed according to the past change history of the driver.

  FIG. 28 shows a system configuration for realizing the present embodiment. FIG. 28 is a block diagram illustrating the configuration of the destination display apparatus 2100 of the third embodiment. The movement destination display device 2100 includes a movement history accumulation unit 2101, a movement destination prediction unit 2102, a bulletin control rule accumulation unit 2103, a bulletin information accumulation unit 2104, and an information presentation control unit 2105, and is an in-vehicle display such as a liquid crystal display panel. The presentation unit 2106 is connected. In FIG. 28, reference numeral 2101 denotes a movement history storage unit for storing a movement history of a vehicle or the like in a storage medium such as a hard disk. Reference numeral 2102 denotes a movement destination prediction unit that predicts the movement destination that the driver is going to go from the movement history accumulated in 2101 by a statistical method. Reference numeral 2103 denotes a presentation control rule accumulating unit that accumulates rules for presenting destination information. Reference numeral 2104 denotes a presentation information storage unit that hierarchically stores information to be presented according to the level of detail. Reference numeral 2105 denotes an information presentation control unit that controls the presentation of information related to a destination predicted from the information accumulated in the presentation information accumulation unit according to the presentation rules accumulated in the presentation control rule accumulation unit. An information presentation unit 2106 presents information controlled by the information presentation control unit.

  The operation of the destination display apparatus 2100 realized by the above configuration will be described using the flowchart of FIG. FIG. 29 is a flowchart showing an operation of changing the display contents of the destination information according to the predicted number of visits to the destination. First, in the movement history storage unit, vehicle position information and time information are acquired by a GPS antenna (not shown) such as a car navigation system and stored in a movement history storage unit 2101 which is a secondary storage medium such as a hard disk. As in the first and second embodiments, the driver's current location and time, and information on the route to the current location are used, and the destination information is stored in the movement history storage unit 2101 by the destination prediction unit 2102. Is predicted (step S2201).

  Next, it is determined whether or not the certainty of the destination prediction is higher than the predetermined location (step S2202). If the predicted destination can be predicted with sufficient certainty (Yes in S2202), S2203. If it is not possible to predict with sufficient certainty (No in S2202), the process returns to S2201, waits for the driver to travel further, and predicts the destination again (S2202). Here, it is assumed that the destination can be predicted with sufficient certainty, and the process proceeds to S2203.

  Assume that the predicted destination is XX department store (latitude 34 degrees 43 minutes 34 seconds, east longitude 135 degrees 22 minutes 34 seconds). FIG. 30 is a table showing an example of a posting rule when controlling the contents to be displayed as the destination information according to the number of visits of the destination. On the other hand, as shown in FIG. 30, the presentation control rule storage unit 2103 stores rules for changing the content to be displayed according to the number of visits to the destination. In FIG. 30, when the number of visits to the destination is 10 times or more, the driver is sufficiently familiar with the information in the vicinity, so it is determined that the detailed information and parking information in the vicinity are not necessary, On the contrary, a rule is expressed that it is necessary to present information about nearby parking lots or detailed information about the surrounding area when there is no actual visit to the destination. In this way, it is possible to present only information necessary for the driver by changing the level of detail of information to be presented according to the number of past visits.

  FIG. 31 is a table showing an example of past movement histories accumulated in the movement history accumulation unit 2101. As shown in FIG. 30, in order to change the level of detail of information to be presented according to the number of past visits to the destination, history information around the XX department store is obtained from the movement history accumulated in the movement history accumulation unit 2101. Is searched (S2203). Since information about the latitude and longitude of a department store can be acquired in advance, the past movement history near the position is searched, and as a result, the table of FIG. 31 is generated. In FIG. 31, a large number of searches are made for nearby movement histories, but it is necessary to calculate the number of times a user has visited for a single purpose. For example, if there is a history of passing the vicinity on the same day, it can be regarded as a single visit. Also, if you are visiting on the same day in the morning and at night, you can also consider that you are visiting for a different purpose. In FIG. 31, visits on the same day are regarded as one visit, and the number of visits is calculated.

  Next, the contents to be displayed are determined according to the number of visits (S2204). For example, when it is calculated that the driver has visited the XX department store twice, it is necessary to increase the level of detail of the information and display information about parking from the table of FIG. FIG. 35 is a diagram showing an example of the destination information posting screen 2500 that displays more detailed contents when the number of visits to the destination is relatively small. FIG. 36 is a diagram showing an example of a destination information posting screen 2600 that displays simpler contents when the number of visits to the destination is relatively large. As shown in FIG. 35, when the number of visits to the destination is relatively small, parking information is also displayed together with the surrounding map of the XX department store. On the other hand, if the number of visits is calculated to be 10 or more from the table of FIG. 30, the XX department store information and parking information are not directly displayed as shown in FIG. When selected by the driver, information about the parking lot is presented.

  As described above, when presenting information about the destination, by using the past visit history, selectively displaying the information according to the degree of recognition about the driver's destination, without disturbing driving, Only necessary information can be presented. In particular, in car navigation, since detailed map information is usually displayed, it is an environment where extra information should not be displayed as much as possible. Therefore, selectively displaying information according to past movement history according to the present technology has a special effect.

  In the present embodiment, information on the destination is selectively displayed according to the number of visits to the destination. Furthermore, since information related to the date and time of visiting in the past can be acquired as the movement history, information may be selectively displayed according to the difference between the current date and time and the date and time of visiting in the past. If the predicted destination was visited a year ago, the driver may have forgotten information about the surrounding situation. For example, there is a possibility that the information on the parking lot location and the charge to be visited and the information on the traffic jam spots in the vicinity are forgotten. On the other hand, if the visited destination was visited one week ago, there is a high possibility that the surrounding information is sufficiently remembered. Therefore, it is possible to present only the information necessary for the driver by selectively displaying information on the destination using the information on the time and date of the past visit with respect to the current time.

  Details will be described below with reference to the drawings.

  FIG. 32 is a table showing the posting rules that are rules for changing the posting mode of the destination, for example, stored in the posting control unit 104, as in the first embodiment. The posting rules indicate the destination visit interval to the destination and the rules on how to post, for example, the degree of detail in the destination mode when it is the visit interval. For example, if the interval between the previous visit to the destination and the current visit to the destination is less than one week, the level of detail is low. If it is more than a year, the rules for posting a high level of detail are accumulated. Further, as shown in the first embodiment, for example, it is assumed that the movement history of the user is accumulated in the movement destination prediction unit 107. Therefore, the difference between the previous visit date and the current visit date may be calculated based on the movement history, and the mode of the display information may be controlled based on the visit interval indicated in the posting rule.

  Furthermore, this visit interval may be changed depending on each destination. Details will be described below with reference to the drawings. FIG. 33 is an example of the posting rules accumulated in the posting control unit 104. The posting rule indicates “destination name”, “facility category”, and a visit interval for changing the level of detail. Further, the posting rule indicating each destination and the level of detail may be acquired from the information providing server 109. For example, the facility category of the destination name “Familys” is “Restaurant”. When the visit interval is “less than one week”, the level of detail is “low”, and when “one week to less than one year” is “ In the case of “medium” or “one year or more”, “high” is shown, and a rule for changing the level of detail for each visit interval is shown. On the other hand, the destination name “karaoke” and the category “entertainment facility” have a detail level of “low” when the visit interval is “less than one week”, and “medium” when “one week to less than one month”. In the case of “one month or more”, it is “high”. For example, even if the same visit interval is one month, it may be preferable to change the level of detail depending on the destination. For example, in a family restaurant or the like of the category “restaurant”, information on a menu, which is one of the commercial information, generally does not change frequently. On the other hand, for example, in the case of karaoke, a list of new songs, which is one of the commercial information, is updated in one week, and the frequency of updating information about the destination is different. Therefore, even if the user visits for the first time in the same month, the information is the same as before in the case of the family restaurant, so the level of detail is low (in this case "medium"), while in the case of karaoke Since the information has been greatly changed, the information required by the user can be transferred to each destination by controlling the posting with a high level of detail (in this example, “high”). Accordingly, automatic control can be performed.

  In the present embodiment, information on the destination is selectively displayed according to the number of visits to the destination. When the information to be presented is the same as the past information, it may not be necessary to present it. Therefore, the display content can be changed according to the time when the predicted destination was visited last time. For example, since the last visit was in the morning, the restaurant lunch menu information was presented, but the user did not view the lunch menu information. Therefore, if this visit was in the morning, the lunch menu was not browsed last time, so information about the lunch menu is not presented. Conversely, if this visit is in the afternoon, the menu information is presented because there is a possibility that information regarding the menu of the restaurant may be selected. As described above, it is also possible to control the information to be presented by accumulating the time and browsing history at the time of previous visits and the history information of operations.

  Details will be described below with reference to the drawings.

  FIG. 33 is a table showing posting rules, which are rules for changing the posting mode of the destination, for example, stored in the posting control unit 104, as in the first embodiment.

  In the posting rule shown in FIG. 33, each destination and visit time are appended and accumulated. For example, “Family” has a category “Restaurant” when the visit time is “10:00 to 17:00”, while the category “Izakaya” is between the visit time “18:00 and 24:00”. It has become. Thus, even within the same facility, the purpose of the visit may differ depending on the time of visit. Therefore, even when visiting the same “family restaurant”, the purpose may be different between a visit at 12:00 and a visit at 20:00. Therefore, the number of visits may be calculated in consideration of the visit time. For example, if a visit is made at 12:00, it is included in the visit time “10:00 to 17:00”. Next, when the same “family restaurant” is visited at 20:00, it is included in the visit time “18:00 to 24:00” and is intended as a pub, and these are counted as separate visits. That is, even in the same two times, since the visit times are different, the night menu and the tavern menu are posted in detail. Thus, by changing the posting mode in consideration of the visit time, it is possible to provide information reflecting the purpose of the user's action.

  Furthermore, it is possible to control the posting from the history of the amount of information such as commercial information acquired or posted during a previous visit. By accumulating this information and performing posting control based on the accumulated information, it is possible to post information that the user wants in a suitable manner without complicated operations. Can be improved.

(Embodiment 4)
In the above embodiment, when displaying a plurality of destinations and displaying information about the destination or information about the route to the destination, the display information mode is changed according to the predicted destination distance or the prediction probability. The method to do was explained. In the case of a mobile terminal such as a car navigation system, the display screen is limited, and excessive information provision during driving or traveling is not preferable. Therefore, it is necessary to post the information that the user wants in an appropriate manner as necessary, and by using the distance to the destination and the arrival probability, the information that the user thinks is necessary can be effectively posted. The provision of information that is considered unnecessary is minimized.

  Furthermore, in the above-described embodiment, when a predetermined destination is predicted, a method of referring to, for example, a category of the destination, further calculating a destination belonging to the same category, and posting it as an alternative destination candidate Explained. For example, in FIG. 23 and the like, when a certain restaurant is predicted as a destination, for example, a ramen shop belonging to a restaurant in the same category located in the vicinity or a sushi restaurant is calculated as a candidate for substitution and information is given to the user. providing.

  In general, when a user moves, the destination is not always determined and the user does not move. For example, when the user wants to eat, a certain fixed restaurant is not necessarily the destination. If it is a restaurant where you can dine, there is no particular preference for the location, and there are situations where you can move as long as you want a restaurant where you can dine. In such a case, by posting an alternative destination as shown in the embodiment, it is possible to easily grasp the information required by the user without complicated operations. In addition, the destination may be determined depending on the situation, such as traffic congestion in each restaurant and the route to each restaurant from a plurality of restaurants. As shown in the above-mentioned embodiment, it is possible to provide flexible information by considering the distance to the destination, the arrival time, and the like. By providing this, there is also an effect of prompting the user's action.

  In the present embodiment, details of provision of information on a predicted destination and an alternative destination (hereinafter referred to as an alternative destination) will be described in detail.

  FIG. 37 is a system configuration diagram according to the present embodiment. Hereinafter, each component will be described first with reference to the drawings, and the operation of the system will be described later.

  The movement destination prediction unit 3402 is a processing unit that predicts the user's future movement destination, and performs prediction based on the movement history accumulated in the movement history accumulation unit 3401, for example, as in the first embodiment.

  FIG. 38 shows the movement destination history accumulated in the movement history accumulation unit 3401. For example, it is located at north latitude "34 degrees 43 minutes 34 seconds", east longitude "135 degrees 11 minutes 11 seconds", and the name "Santeria" is dated "July 1, 2003", day of the week "Saturday", time "12:12" 15 seconds "is reached. Further, in the present embodiment, the destination category to which the user has moved is stored as the destination history. For example, “Restaurant” that is a category of “Sant Zeria” is incidentally accumulated. Similarly, the name “Regal Host” and the category “Restaurant” located at “34 degrees 44 minutes 50 seconds” north latitude and “135 degrees 22 minutes 30 seconds” east longitude, date “July 15, 2003”, day of week “ The history of reaching “Saturday” and time “12:14:11” is accumulated.

  FIG. 39 shows an information bulletin unit 3410 for posting information, for example, a car navigation display. The display shows the current position of the user and map information, and also shows the current date and time “12:01 (Saturday)” and the like. Here, the movement destination prediction unit 3402 predicts the movement destination of the user using the movement history described above. For example, it is possible to predict using current date and time information. In the case of this example, the current date and time is “12:01 (Saturday)”, and a destination corresponding to the day of the week and time (for example, one hour before and after) is searched. In the case of FIG. 38, “Saturday” that has reached the above-mentioned day of the week “Saturday” and time “12:12:15”, and the day of the week “Saturday” and time “12:14:11” are reached. “Legal Host”, and these are calculated as predicted destinations.

  Alternatively, for example, as in the first embodiment, it is naturally possible to accumulate the destination and the route to the destination and use the current movement path. For example, in the case of FIG. 39, the user has now turned left at the Hanamachi intersection. By searching for the movement history that has passed through the Hanamachi intersection and using the frequency of the destination to reach after that, the future destination can be predicted.

  The destination category determination unit 3403 is a processing unit that determines the category of the predicted destination. For example, in the case of FIG. 39 described above, “Sant Zeria” and “Legal Host” are predicted as predicted destinations, and the categories of these destinations are determined. In FIG. 38, the destination and the category of the destination are accumulatively stored. The category of the name “Santeria” is determined as “restaurant”, and the category of the name “regal host” is also determined as “restaurant”. In other words, this example indicates that the user is predicted to go to the restaurant “Sant Zeria” or “Legal Host”.

  In general, the accumulated movement history tends to reflect user-specific behavioral characteristics. When a movement destination is predicted from the movement history, a plurality of movements are performed in a certain situation such as a time zone, a day of the week, or a movement route. The destinations are predicted and they may be in the same category. For example, in the case of the user shown in this example, the restaurants “San Zeria” and “Legal Host” are predicted, and reflect the tendency to move to a restaurant to eat at noon on Saturday, for example. On the other hand, as long as the user can eat, the user is not so particular about the location, and the restaurant may be finally determined in consideration of the congestion of each restaurant, the traffic congestion on the route, and the like. In addition, if there is no particular preference for the place, not only restaurants that have been visited in the past in the movement history, but also newly providing restaurants as alternative destinations can lead to user actions. Therefore, it is necessary to provide information about these calculated destinations. On the other hand, restrictions on car navigation screens and excessive information provision are not desirable for driving. Need to be controlled.

  Therefore, in the present invention, the predicted destination and the category of the predicted destination are referred to, an alternative destination that is the same as the corresponding category is calculated, information on the plurality of destinations is provided, and the information is more easily obtained. In order to grasp the above, a method for controlling the aspect will be described.

  The alternative destination search unit 3405 searches for the alternative destination corresponding to the category determined by the destination category determination unit 3403 from the map information stored in the map information storage unit 3406 provided in the car navigation system or the server. Part. The destination distance calculation unit 3404 is a processing unit that calculates an area serving as a search condition by referring to the distance or the like from the predicted position information of the destination. Hereinafter, a specific example will be described.

  FIG. 40 is a map showing the current position of the user and the positional relationship between “Sant Zeria” and “Legal Host”, which are predicted destinations. The multiple destination distance calculation unit 3404 determines a range for searching for an alternative destination from the predicted destinations “legal host” and “Santeria”. For example, the distance between the two destinations is calculated by referring to the latitude and longitude of the two destinations (FIG. 38). Here, it is calculated as 800 meters. Further, for example, the center positions of two movement destinations are calculated, and a circle area having the center as the center of the circle and the two distances as the diameter is set as the search area.

  The alternative destination search unit 3405 searches for an alternative destination belonging to the same category based on the search area calculated by the multiple destination distance calculator 3404 described above. For example, as shown in FIG. 41, “tonya” belonging to the same category “restaurant” is searched in the search area.

  When moving for a certain purpose, such as a meal, the destination is not always fixed, but may be determined according to the situation of the destination. Also, in such a situation, there may be a case where other restaurants are acceptable as long as they can eat similarly. Moreover, since the user has never been in the past, a place that the user does not know can be proposed and the user's action can be promoted. On the other hand, when the alternative destination is greatly different from the area to which the destination is going, such information may be unnecessary. For example, if you are going to go to a restaurant to eat, and you are heading at least to the direction of “San Zeria” or “Legal Host”, even if an alternative destination in a completely different area is proposed, it will be unnecessary information In some cases. Therefore, in the present embodiment, as described above, the destination distance calculation unit 3404 calculates the destination distance, and determines an area to search for an alternative destination based on the distance.

  Here, the search area is determined based on the distance. However, as shown in the second embodiment, the time until the destination is reached may be considered. Here, the center of the predicted destination is used as a reference, but a point on the route to the predicted destination may be used as a reference. Specific examples will be described below. FIG. 42 shows the predicted destinations “legal host” and “sanseria” as in FIG. The time required to reach the “legal host” from the current position of the user is 35 minutes. On the other hand, the time required to reach “Sant Zeria” is 40 minutes. Further, when the routes to these destinations are calculated, the route passes through the “Raku 1 Machi” intersection, and the time required to reach this “Raku 1 Machi” intersection is 30 minutes. In other words, it is considered that the user is heading to the area near the “Raku 1 Machi” intersection to eat at the restaurant, and is expected to move to the “Raku 1 Machi” intersection, which is the standard for that area, over about 30 minutes. It has been shown. Here, an alternative destination that takes one hour is not preferable while reaching the area in 30 minutes. On the other hand, in the case of an alternative destination that can be reached within a predetermined allowable range, such as 35 minutes (that is, the difference is 5 minutes), the user's action can be prompted by displaying the information. Therefore, the alternative destination is searched in consideration of the estimated arrival time to the destination.

  For example, when a search for an alternative destination is performed on the condition of a distance, a range of an alternative destination to be searched for each distance to the destination as shown in the posting rule 3103 in the second embodiment. To do. Or, in the case of performing a search using the arrival time to the destination as a condition as in this example, for example, as shown in FIG. 45, in the case of “arrival time to the destination” and each arrival time, up to which range It is assumed that the search is performed using a rule that accompanies and accumulates a “search range up to an alternative destination” indicating whether the destination is an alternative destination. For example, in FIG. 45, when the arrival time to the destination is less than 30 minutes, the search range of the alternative destination is less than 10 minutes, and when the arrival time to the destination is 30 minutes or more and less than 1 hour, the alternative If the search range of the destination is less than 30 minutes and the arrival time to the destination is 1 hour or more and less than 2 hours, the alternative destination search range is less than 2 hours, etc., depending on the arrival time to the destination Rules for searching for destinations are stored. In this example, it is assumed that these rules are stored in the destination distance calculation unit 3404, and the alternative destination is searched using the distance to the destination, or is substituted using the arrival time to the destination. The alternative destination is searched by referring to these rules according to the search conditions such as searching for the destination.

  FIG. 43 shows that an alternative destination “Tonya” that can be reached within a predetermined allowable range of 30 minutes to “Raku 1 Machi” intersection and a total of 35 minutes from there is calculated. . In other words, the arrival time to the destination “Raku 1 Machi” is 30 minutes, or the arrival time to “Legal Host” is 35 minutes, etc., and the rule shown in FIG. 45 corresponds to 30 minutes or more and less than 1 hour Therefore, an alternative destination “Tonya” corresponding to a search range of less than 15 minutes is calculated.

  On the other hand, “Ushibuchi Yoshikawaya”, which takes 1 hour and 15 minutes to reach, is in the same category “Restaurant”, but does not correspond to the rule “less than 15 minutes” shown in FIG. Is not posted as unsuitable (a dotted line indicates that it is not posted). In addition, as shown in the second embodiment or the like, information such as traffic jam information and weather of the day may be considered as the time required for arrival.

  On the other hand, FIG. 44 shows the geographical relationship when the time to reach these areas is relatively far compared to FIG. It is shown that it takes 1 hour and 10 minutes to the “Raku 1 Machi” intersection, which is the standard for the area, 1 hour and 15 minutes to “Regal Host”, and 1 hour and 20 minutes to “Sant Zeria”. The search range rule shown in FIG. 45 corresponds to “1 hour or more and less than 2 hours”. Therefore, the search is performed within the range of “less than 1 hour” as an alternative destination. That is, in this case, “Tonya”, which is 1 hour 15 minutes, as well as “Gyudon Yoshikawaya”, which takes “1 hour 55 minutes”, may be posted as an alternative destination. As shown in FIG. 43, an alternative destination that is relatively far from one hour or more compared to reaching the area in the next 30 minutes results in a detour and is often not suitable as an alternative destination. Thus, when there is still a distance to the area, even if “Ushibuchiyoshikawaya” is not a detour, providing information as an alternative destination, providing flexible information considering the user's behavior characteristics Is possible. That is, the area of the search area is determined based on the distance from the current position to the predicted area or point, or the required time.

  46A, 46 </ b> B, and 46 </ b> C display information related to the predicted destination and the searched alternative destination among the map information stored in the map information storage unit 3406. (A) shows “legal host”, (b) shows “Santeria”, and (c) shows commercial information of “Tonya” which is an alternative destination to be searched.

  For example, it is assumed that commercial information is stored in correspondence with items and values in XML format. For example, as information relating to “Sant Zeria”, the item “longitude” of the item “position” includes the content “135 degrees 11 minutes 11 seconds east longitude” and the item “latitude” includes the contents “north latitude 34 degrees 43 minutes 34 seconds”. In addition, as “detailed information”, “parking lot” is “120 cars”, “business hours” is “10:00 to 23:00”, “recommended” menu of the store is “pasta set”, and “price” is “ “780 yen” is stored. On the other hand, the information of “Legal Host” is “Parking” is “100”, “Business hours” is “10:00 to 24:00”, “Recommended” menu is “Hamburg set meal”, “Price” 880 yen ".

  In this way, various types of information are stored as information about destinations. If all the information is displayed uniformly for each destination, it may be difficult to grasp the information due to screen limitations. . However, as described above, there is generally common information regarding information on the same category, and there are many cases where information required by the user is also common, and there are cases where they are grasped by comparing them. For example, in the case of a “restaurant” for the purpose of eating, information related to “restaurant” is also relatively common in each store. For example, business hours, recommended menus, coupon availability, etc. are often described as store information, and information required by the user is often information related to these. Furthermore, instead of displaying these pieces of information separately for each store, for example, by comparing them as shown in a comparison table, it becomes easier for the user to grasp the information. Thus, in this embodiment, for example, in the case of the same category, common information is displayed in a comparison table so that the information can be grasped while comparing.

  Moreover, it is good also as determining the item to compare automatically. For example, items with greatly different values, such as the price of the “Restaurant” menu, are often items of interest to the user, and control such as displaying these items preferentially can be used to effectively use the screen. it can. Furthermore, the visit history as shown in the third embodiment may be used to automatically select an item according to the visit history. For example, if there are multiple menu items for “Restaurant”, “Lunch” and “Dinner”, and if you visit frequently during the day, the “Lunch” menu is considered to be grasped, and the display content is limited to effectively use the screen. In contrast, when visiting the same restaurant at night, it is possible to use the visit history such as displaying detailed information of “dinner”.

  Furthermore, it may be preferable to change the information mode for each destination. For example, the predicted “Santeria” or “Legal Host” is a destination predicted based on the history, that is, since the past user has performed, detailed information may be unnecessary. On the other hand, since it is considered that the alternative destination “Tonya” has never been, it is preferable to provide information in detail and finally prompt the user to decide which restaurant to go to . In addition, by displaying in detail the differences between “Santeria” and “Legal Host” that have been performed and the differences in which items differ from each other, the screen allows only necessary information to be easily grasped. Can be used effectively. Therefore, in the present embodiment, information related to a plurality of calculated destinations is referred to, items that are important for display (hereinafter referred to as important items) are determined, and the display mode is controlled.

  The important item determining unit 3407 is a processing unit that determines important items with reference to the calculated information about a plurality of destinations. For important items, for example, the value of each item is referred to. If the values are different, these items are determined to be important items because they need to be provided to the user. Further, the mode information storage unit 3408 is a processing unit that stores how to display the information regarding the calculated plurality of destinations, and the processing unit that stores the posting rules in the first embodiment. To do. The display control unit 3409 performs display control on the information bulletin unit 3410 based on the display mode information stored in the mode information storage unit 3408 and the determined important items. Hereinafter, a specific example will be described.

  FIG. 47 shows mode information stored in the mode information storage unit 3408. In the mode information, for example, in the case of the category “restaurant”, information on how to display is stored. For example, in the case of the condition “category“ restaurant ”in FIG. For example, in the case of a category such as a restaurant, when a plurality of searches are performed, the information is displayed in a comparison table format, and the information is grasped while being compared, so that the information can be easily grasped while suppressing the use of the car navigation screen. Because. Furthermore, “business hours”, “parking lot”, “recommended”, and the like are described as items when displayed in the comparison table. In many cases, these pieces of information are information that the user wants to grasp while comparing, and instead of displaying all items, the items to be compared may be determined according to categories, for example. Further, among these items, an item that needs to be provided to the user, such as a value that differs greatly between the destination in the movement history and the alternative destination, is further determined as an important item. For example, when the value of an item is a numerical value, a difference between the numerical values is referred to, and when the value is larger than a predetermined value, it is determined as an important item. FIG. 48 shows a rule in which each item is attached with a threshold value of a numerical value when it is determined as an important item. For example, the rule of FIG. 48 shows a rule for determining as an important item when “6 hours” or more is left in the case of “item business hours”. Or the rule which determines as an important item when the "charge" of a menu has a difference of "100 yen" or more is shown. For example, this rule is stored in the important item determination unit 3407, and the important item is determined by referring to the rule. When the value of the item is a character, the important item may be determined by performing a morphological analysis or the like to determine a difference in contents.

  From the information of each destination shown in FIG. 46, for example, for the predicted “Sainteria” business hours “10:00 to 23:00” and “Regal Host” business hours “10:00 to 24:00”, the alternative destination “ The business hours of “Tonya” are “10:00 to 24:00”. In this case, the business hours of the alternative destination “Tonya” are the same as the “Regal Host” business hours, and the business hours of “Sant Zeria” are not much different from one hour, and the current time is It is 12 o'clock and is not so important information to the user, so it is determined that it is not an important item, for example. Since the user has never been to the alternative destination “Tonya” and does not know each information of “Tonya”, it is preferable to provide all the information. On the other hand, in the case of car navigation, the screen Due to limitations, excessive provision of information is not desirable. In addition, since “Legal Host” and “Santeria” have been in the past, it is not necessary to provide detailed information about restaurant information that the user is familiar with. Therefore, if there is no significant difference from the item of the destination that has been in the past, excessive information provision can be suppressed by not making it an important item.

  On the other hand, if there is a difference from the destination item that has been in the past, it is determined as an important item. For example, in FIG. 46, the price “780 yen” of “pasta set”, which is the “recommended” menu of “Sant Zeria”, and the price “880 yen” of “hamburger set meal”, which is the “recommended” menu of “regal host”, The price of “Recommended” menu of “Tonya” “Katsudon set meal” is as low as “580”. In this case, “recommended” and “price” having different items are determined as important items and posted.

  When providing information on alternative destinations, there is a case where information on where and how it differs compared to destinations that the user has been familiar with is a matter of interest to the user. Therefore, it is possible to provide only the information required by the user by determining these pieces of information as important items.

  FIG. 49 shows an information bulletin unit 3410 which is a car navigation screen, for example. In the case of this example, the predicted “legal host”, ”and“ Santeria ”, and the alternative destination“ Tonya ”are calculated as destinations. In addition, information of each restaurant is shown in a comparison table. Further, among the items, information such as “recommendation” and “price” as important items that need to be notified to the user is displayed for each destination.

  As shown in the third embodiment, the mode may be controlled in consideration of the arrival frequency and timing of the destination. For example, in the case of this example, the important items were determined based on the knowledge of “San Zeria” and “Legal Host” that the user had been in the past. If it is relatively old, such as over a year ago, the user may have forgotten the store information. In this case, each destination item may be an important item that the user wants to compare and refer to. Therefore, as shown in FIG. 50, “business hours”, “parking lot”, “recommended”, and the like may be displayed in a comparison table format to provide information to the user.

  Hereinafter, the flowchart of the present embodiment will be described with reference to FIGS. 51 and 52.

  First, based on the movement history accumulated in the movement history accumulation unit 3401, the movement destination prediction unit 3402 predicts the movement destination (step S3501). It is determined whether or not the predicted destination exists (step S3502). If the predicted destination exists (Yes in step S3502), the destination category determination unit 3403 determines the category of the predicted destination (step S3503). ). On the other hand, if the predicted destination does not exist (No in step S3502), the process ends. For example, in the case of this example, “Sant Zeria” and “Legal Host” are calculated from FIGS. 38 and 39, and these destinations are determined to be “Restaurant”.

  Next, the destination position predicted by the destination distance calculation unit 3404 is referred to (step S3504), and an alternative destination search area is determined (step S3505). In the case of this example, as shown in FIG. 40, an area for searching for an alternative destination is determined based on “legal host” and “Santeria”. When providing an alternative destination, since the effect of prompting the user's action is diminished even if an alternative destination is provided at a far position compared to the direction in which the user is going or the vicinity of the destination, for example, the predicted destination The neighborhood is determined as a search area.

  Next, the alternative destination search unit 3405 searches for an alternative destination corresponding to the category from the determined area (step S3506). It is determined whether or not the corresponding alternative destination exists (step S3507). If it exists (Yes in step S3507), the process proceeds to step S3508, and if it does not exist (No in step S3507), the process ends. As shown in FIG. 41, the category “restaurant” “Tonya” is searched for as an alternative destination.

  Then, the calculated information about each destination is referred from the map information storage unit 3406 (step S3508), and the important item determination unit 3407 determines an important item from these information (step S3509).

  The important items are determined, for example, by referring to, for example, a category of predicted destinations or information on each destination, and giving priority to items with greatly different values.

  First, referring to the state rules stored in the state information storage unit 3408 (step S3601), display items are determined (step S3602). For example, when the categories are common, the information stored as the information about the destination is often common, and by further displaying these in comparison, it is easier for the user to grasp the information. Furthermore, referring to each item for each destination, for example, items with greatly different values are often items of interest to the user, so these are determined as important items. A flag is set for the first item (step S3603), and the value of each destination item is referenced (step S3604). It is determined whether or not there is a difference in the value of the item (step S3605). If there is a difference (Yes in step S3605), it is determined as an important item (step S3606). On the other hand, if there is no difference (No in step S3605), it is determined that there is no need to post to the user, and the presence / absence of the next unverified item is determined (step S3607). If there is an item that has not been verified yet (Yes in step S3607), a flag is set in the next item (step S3608), and these loops are repeated (to step S3604). After all items have been verified (No in step S3607), the important item determination step is terminated.

  Based on the state information stored in the state information storage unit 3408, the information is posted on the information posting unit 3410.

  In this example, the case of displaying using a comparison table such as the category “restaurant” has been described, but the manner of posting information of each destination is not limited to this. For example, when the distance of each destination is relatively far, the positional relationship is also a matter of interest for the user. It is good to do.

  In the present embodiment, “restaurant” has been described as an example of the predicted destination category, but the present invention is not limited to this. For example, when it is predicted to go to the category “station” in order to welcome passengers, it is possible to predict a predetermined A station and to post a B station as an alternative destination. For example, in the case of a station or the like, in determining the search area for the alternative destination, as shown in FIG. 41 and FIG. 43, not only the distance and the estimated arrival time are considered, but the route geography is also based on the map information. It is also possible to use information on the route such as the target relationship, the train departure time, and the express stops. Hereinafter, a description will be given with reference to FIG.

  FIG. 53 shows that “Hanamachi Station”, whose category is “Station”, is predicted as the predicted destination for the current position of the user. When heading to a station or the like for picking up passengers, an alternative station more suitable for the user may be sought in consideration of not only the arrival time at the station but also the time of the train. In FIG. 53, as shown in the above example, as a result of searching for an alternative station in the surrounding area in consideration of the estimated arrival time and position, “Hanaishi Station” is searched first. For example, “Hanasai Station” exists in a predetermined area centered on “Hanamachi Station”, and “18:45” with respect to the estimated arrival time “18:50” at “Hanamachi Station”. It is possible to arrive 5 minutes faster. On the other hand, the express train does not stop at “Hanasei Station”, and the departure time of the next train is “19:00”. On the other hand, the predicted arrival time of “Kyoto Station” is “18:55”, but the express stops and the departure time of the next train is “19:00”, and the express stops for the user. There is also an advantage that the station can reach the final destination earlier, and this can be displayed as an alternative destination.

  FIG. 54 is a diagram for explaining “ski resort” as an example of the predicted destination category. This indicates that “Uemura Ski Resort” whose category is “Ski Resort” is predicted as the predicted destination for the current position of the user. When moving to a relatively distant facility such as a ski resort, the highway may be used. In this example, the user gets on the highway from Hanamachi IC (interchange), branches at Kyo JCT (junction), gets off at Shiga Shandong IC and shows the route to “Kamimura Ski Area”. The time required is 2 hours and 40 minutes. In addition, even when moving to a ski resort, the final ski resort may be determined depending on the amount of snow, congestion, etc., not necessarily going to the ski resort. To provide information required by the user. On the other hand, in this case, it is possible to provide an alternative destination more suitable for the user by considering not only the arrival time and position to the destination but also the shape of the expressway.

  For example, when searching for alternative destinations taking into account only the time required for arrival, the “Satoya Ski Area” for 2 hours 30 minutes and the “Miyazato Ski Area” for 2 hours 40 minutes are alternative movements. Be ahead. However, Kyo JCT is moved to the Nagayama IC direction to “Miyazato Ski Area”, and the route is greatly different. In the case of an expressway, it is difficult to return such as turning back, and even if there is no great difference in arrival time, alternative destinations with greatly different routes are often not suitable. Therefore, in the case of this example, an alternative destination is searched for along the path from Kyo JCT to Shiga Shanto IC, and an alternative destination is provided. For example, in this case, “Satoya Ski Area” of Shigayama IC and “Funaki Ski Area” of Joetsuyama IC are displayed as alternative destinations. In this way, the search condition may be changed according to the category of the predicted movement destination.

  In the present embodiment, the movement destination is predicted using the movement history, the alternative movement destination is calculated using the predicted movement destination category, and the control of the display mode of the information regarding the plurality of movement destinations has been described. For example, when a plurality of predicted destinations are calculated and the plurality of destinations are in the same category, it is considered that the user is heading for the category “restaurant” for the purpose of eating. By posting a new alternative destination, which is “restaurant”, the user's action can be promoted. On the other hand, the condition for calculating the alternative destination is not limited to this.

  For example, it is possible to use the arrival probability of each predicted destination. For example, in the case of the example shown in the fourth embodiment, the predicted destinations are the restaurants “Sant Zeria” and “Regal Host”. Furthermore, it is assumed that each destination arrival probability is 50%. In this case, since it is considered that the user is heading for one of the restaurants for the purpose of eating, the user's new action can be promoted by posting both restaurants and the alternative destination “Tonya”. On the other hand, it is assumed that there is a difference between “Santeria” 80% and “Legal Host” 20% in each destination. In this case, the user is not heading for the purpose of eating, but is mainly heading for “Sant Zeria”, and it may be determined that the user does not want the posting of the alternative destination and not posted. In this way, posting of alternative destinations may be controlled in consideration of the difference in arrival probability of a plurality of destinations.

  Alternatively, even if the predicted destination is one, the alternative destination can be posted. For example, if it is predicted that the category is “Supermarket”, it is predicted that the store is going to “Store A”. Information determined as an important item such as a nearby alternative destination “Store B” is displayed and the product is cheap. It is possible to prompt the user to take action by providing. Moreover, although only “A store” of the category “supermarket” is usually known, for example, “B store” having a short arrival time determined as one of the important items can be known.

(Embodiment 5)
In the fourth embodiment, the movement destination is predicted using the movement history, the alternative movement destination is calculated using the predicted movement destination category, and the control of the display mode of the information regarding the plurality of movement destinations has been described. By calculating the predicted destination and posting a new alternative destination, the user's action can be promoted. On the other hand, regarding the posting of the alternative destination, it is not always preferable to post the information of the alternative destination depending on the destination. For example, when the destination is a home or a company, they are generally destinations that cannot be substituted for the user, and there is no need to post information about the alternative destination. For example, even if the restaurant is the same, it is not necessary to post the alternative destination information if the destination is an important destination that the user must go to. On the other hand, in a route toward a destination that is important for these users, a place that happens to be routed may be displayed as an alternative destination. For example, when heading to a certain major destination, for example, a home, the user may have passed through “restaurant A” or “restaurant B” in the past. In this case, the final destination is home, but on the other hand, the user may go to “restaurant A” or “restaurant B”, and the user may need the information. By posting, information can be easily grasped without complicated operations. Further, by providing information on “Restaurant C” as an alternative destination, the user's action can be promoted.

  Therefore, in the present embodiment, first, it is determined whether or not the destination is the main destination, and a method for determining a destination that can be substituted will be described. Furthermore, the method of posting these information will be described when moving to an alternative destination.

  FIG. 55 is a system configuration diagram according to the present embodiment. The same reference numerals are given to the components shown in the fourth embodiment, and the description thereof is omitted.

  The substitution possibility determination unit 3411 is based on the movement destination history accumulated in the movement history accumulation unit 3401 and is a main movement destination (hereinafter referred to as an important destination) whose movement destination cannot be substituted by the user. It is a processing unit that determines whether or not there is. In addition, when it is determined that the destination is an important destination, the destination on the route to the important destination is a transit point (hereinafter referred to as a transit point), and is also a processing unit that determines an alternative transit point.

  FIG. 56 shows details of the substitution possibility determination unit 3411. The substitution possibility determination unit 3411 includes a stay frequency calculation unit 3421, a stay time calculation unit 3422, an important destination determination unit 3423, and a substitutable destination determination unit 3428.

  The stay frequency calculation unit 3421 and the stay time calculation unit 3422 are processing units that calculate the stay frequency and stay time at the destination based on the accumulated movement history of the user. FIG. 57 is a diagram showing the movement history accumulated in the movement history accumulation unit 3401. The movement from the departure point to the destination is assigned as one movement, and an ID is given. The date of the movement, the departure point, the passing intersection, the destination and the passage time are added and accumulated. For example, the movement history ID “001” indicates that “home” departed at “7:45” on the date “July 11, 2003”. In addition, it passes through the intersection “Kyomachi 1” at “7:55”. Similarly, the intersection “Raku 1” is “8:02”, the intersection “Raku 2” is “8:08”, and the intersection “Raku 4”. ”Passes“ 8:10 ”, and the destination“ Hanamachi Co., Ltd. ”is reached at“ 8:15 ”.

  The stay frequency calculation unit 3421 calculates the stay frequency at each point based on this movement history. For example, since the movement history ID “001” has reached “Hanamachi Co., Ltd.”, the stay frequency of the company is counted as one time. Similarly, since the movement history ID “012” has reached “Hanamachi Co., Ltd.”, the movement history ID “012” is incremented once, and the frequency of each movement destination is calculated, for example, twice.

  The stay time calculator 3422 calculates, for example, the average stay time by calculating the stay time of each destination and dividing by the frequency. For example, the travel history ID “001” arrives at “Hanamachi Co., Ltd.” at “8:15” and the travel history ID “002” leaves “company” at “17:45”. The stay time of “Hanamachi Co., Ltd.” is 9 hours 30 minutes (= 17: 45-8: 15). Further, an average stay time is calculated by summing up each stay time of each destination and dividing by the stay frequency. FIG. 58 shows the arrival frequency and average stay time of each destination. “Home” of the destination ID “001” has a stay frequency of “320 times” and an average stay time of “16 hours and 20 minutes”. Further, “Hanamachi Co., Ltd.” with the destination ID “002” has a stay frequency of “189 times” and an average stay time of “12 hours and 20 minutes”.

  The important destination determination unit 3423 determines a destination that is considered important for the user (hereinafter referred to as an important destination) from the above-described stay frequency and average stay time. A point where a user has stayed for a long time is considered to be visiting that point for some purpose, and it is often unnecessary to provide an alternative destination when it is predicted that the user will move to such a point. Conceivable. Also, a place where the user stays frequently is considered to be visited every time for some purpose even if the stay time is short, and even if an alternative destination is provided, it is often unnecessary. it is conceivable that. Therefore, a point having a long average stay time or a point having a high stay frequency is determined as an important destination. For example, thresholds (stay frequency of 10 times or more, stay time of 3 hours or more, etc.) are provided to determine important destinations. In the case of FIG. 58, “home” with an average stay time of 16 hours and 20 minutes, “Hanamachi Co., Ltd.” with 112 hours and 20 minutes, and “Meso” with a stay frequency of “48 times” are determined as important destinations.

  The substitutable destination determination unit 3428 is a processing unit that determines a substitutable destination (hereinafter referred to as a substitutable destination) using a point determined to be an important destination. If it is predicted to move to the important destination described above, it is often unnecessary even if information on the alternative destination is posted. For example, when the user is predicted to go to “Hanamachi Co., Ltd.”, even if a nearby “company” in the same category is posted as an alternative destination, the information is unnecessary for the user. Or, when moving to “Messo” of “Gas station” that goes frequently, even if an alternative destination is provided, it is often unnecessary. For example, frequent visits are due to having a service ticket, a membership ticket, etc., and sometimes going to the gas station. On the other hand, in the case of “ideotsu” of “gas station” that is not an important destination, for example, it is relatively infrequent and it may be a point where it happened to pass through, so an alternative destination of the same category “gas station” By providing the information, the user can grasp the information without complicated operations. Accordingly, the substitutable destination determination unit 3428 determines, for example, other than the important destinations as substitutable destinations. For example, as shown in FIG. 59, the category “Restaurant” “San Zeria” and “Gas station” “Ideyotsu” are determined as alternative destinations.

  Next, control when information is provided using the information determined by the alternative availability determination unit 3411 will be described with reference to the drawings.

  FIG. 60 shows the current position of the user and a map. Now, the user leaves the company and is in a position that has passed the intersection “Raku 4 Machi”. As shown in the above embodiment, the movement destination is predicted using the movement history, and the predicted movement destination “Sant Zeria” is calculated. Further, as in the fourth embodiment, the destination category determination unit 3403 determines the category “Sant Zeria” as “restaurant”, and the alternative destination search unit 3405 searches for an alternative destination corresponding to the category “restaurant”. For example, as in the fourth embodiment, a destination corresponding to the category “restaurant” is searched based on a predetermined area, for example, within a radius of 1 km with “Sant Zeria” as the center. In the example shown in FIG. 60, the category “Restaurant” “Rotating Sushi Taro” is searched as an alternative destination.

  Therefore, as in the fourth embodiment, the information on the plurality of destinations is posted based on the mode information stored in the mode information storage unit 3408 and the important items determined by the important item determination unit 3407.

  FIG. 61 shows an example in which information of the predicted destination “Sant Zeria” and the alternative destination “Taro Rotation Sushi” is displayed on a car navigation screen or the like. In the fourth embodiment, information about each destination is displayed in a comparison table, and more important items are displayed in a predetermined manner. In the present embodiment, a route to each destination is further displayed on a map. Yes.

  The left side of the car navigation screen shown in FIG. 61 is information related to “Sant Zeria”. As a “Recommended” menu for “Sant Zeria”, “hamburger set meal”, price “780 yen”, and the like are displayed. Furthermore, a route to the destination “Sant Zeria” is displayed for the current position of the user. On the other hand, the right side of the screen is information related to “Taro Rotating Sushi”, which is an alternative destination. A “recommended” menu “Tuna” of “Rotating Sushi Taro”, a price “105 yen”, and the like are displayed. Furthermore, the route to the destination “Taro Rotating Sushi” is displayed. Furthermore, in this example, in order to make it easier for the user to grasp the difference between the route to “Sant Zeria” and “Taro Rotating Sushi”, for example, the color is changed and displayed. For example, an intersection “Raku 1” which is the same route to both destinations is a dotted line, and a color is changed at the intersection “Raku 1” which is a branch point. Thereby, each arrival prediction time is also displayed so that the user can easily grasp the difference in arrival time between the two destinations. For example, the estimated arrival time “18:20” to “Sant Zeria” is close to the estimated arrival time “18:15” to “Taro Sushi Taro”, so it is determined as an important item and it is easy for the user to grasp the information. Is displayed in a predetermined manner. Easily grasp information required by the user, such as the difference in the route to the alternative destination “Taro Rotating Sushi” and the difference in predicted arrival time for the restaurant “Sant Zeria”, which is the predicted destination, without complicated operations. It has become.

  In this way, when an alternative destination is searched for, it is information about these multiple destinations, and further necessary information without disturbing the driving task by effectively posting information required by the user. Only has the effect of easily grasping.

  Furthermore, landmark display is an example of the information display mode of the movement destination, and the display mode of these landmarks may be controlled. In general, the landmark display is to display a name, a symbol, or the like at a position where the store or the like exists on a map. By displaying these landmarks while driving, the user can easily grasp that the store indicated by the landmark exists at that point, and further encourage the user's actions such as going to the store. You can also. On the other hand, there are many points having landmark displays on the map. Displaying all of these points results in excessive information, and there is often no need to display landmarks unrelated to the current user's travel. FIG. 62 is an example in which all landmarks present on the map are displayed for the user's current travel. A predetermined landmark is displayed at a location where each store exists, such as “Shinjo Bank” which is a category “Bank”, “Messo” of “Gas Station”, “Toyosan Car” of “Car Dealer”. As described above, for example, in an area where there are many stores, such as an urban area, there are many spots having landmarks in particular, and there are many cases where the information is unnecessary depending on the user. Therefore, in this example, an example will be described in which the landmark display mode is controlled as the destination information of the predicted destination and the alternative destination.

  FIG. 63 is an example of the display screen in the above example. In FIG. 63, unlike FIG. 61, the position of the user and the entire map are displayed on the car navigation screen. First, in the lower right corner of the screen, as in the fourth embodiment, the information on each destination is shown in a comparison table, and further, important items can be grasped so that the price considered to be important for the user and the difference in predicted arrival time can be grasped. Is displayed in each mode. Further, in FIG. 63, a landmark is displayed at the position of “Taro Sushi Taro” so that the positional relationship of “Taro Sushi Taro” can be grasped with respect to “Santeria” which is the predicted movement destination. On the other hand, since the movement predicted destination in the current travel is “Sant Zeria” which is a restaurant, unlike FIG. 62, “Shinjo Bank” which is a category “bank” is not displayed as a landmark. The landmarks present on the map are enormous, and displaying all of them is not preferable because it is difficult to grasp the necessary information. In view of this, it is possible to perform a mode control in which only the necessary landmarks are displayed according to the destination to which the user is traveling. In the case of this example, only the necessary information is displayed by displaying only the alternative destination “Taro Tatsushi Sushi” searched using the category “Restaurant” of the destination “Sant Zeria”, so that the user can grasp the information. Has the effect of facilitating.

  In the case of landmark display control, the density of landmarks existing in the area may be obtained. If the density is equal to or higher than a predetermined threshold, control such as executing this function may be performed. In areas where there are relatively many landmarks, such as urban areas, the display of landmarks that are unnecessary for the user is suppressed. Further, in the case of a suburb, it can be used for a route mark or the like, so that it may be displayed.

  In this example, “Sant Zeria” has been determined as an alternative destination (FIG. 59), so an alternative destination was searched. Since the previous information posting is considered unnecessary, the information may not be posted. For example, as shown in FIG. 64, when it is predicted that the user has moved to “home”, “home” is an important destination (from FIG. 59), and the alternative destination information is unnecessary. Only necessary information can be posted. Or it is good also as updating an alternative destination using the user's feedback at the time of posting an alternative destination. For example, as shown in FIG. 61 and FIG. 63, “Santeria” is calculated as the movement prediction destination, and information on the alternative movement destination “Taro Rotation Sushi” is posted. It is determined that an alternative destination display for “San Zeria” is unnecessary in the future, and control such as disabling the substitutable purpose of “Sant Zeria” shown in FIG. 59 is also possible.

  The alternative destination may be displayed in consideration of the important destination that is the final destination. This will be described below with reference to FIG. FIG. 76 shows the current position and map of the user on the way from “Hanamachi Co., Ltd.” and returning home, like FIG. 71 and the like. Since the user tends to go to the restaurant “Sant Zeria” on the way home, it is assumed here that an alternative destination for “Restaurant” is searched. For example, as shown in the present example, it is assumed that “Korean cuisine Yong” that is a category “Restaurant” corresponds to a search result around “Sant Zeria”. On the other hand, the intersection from “Ura Raku 1” to “Ura Raku 2”, which is the route to “Korean Cuisine Yon”, is a one-way street. Therefore, it is difficult to return to the final destination, which is a detour. In this case, in consideration of finally returning home, it is not always preferable as an alternative waypoint. In view of this, it is also possible to control the detection of an alternative destination in consideration of traffic information such as road information such as one-way traffic and traffic information to the home that is the final destination. For example, the traffic information on the route accumulated in the map information accumulation unit 3406 or the real-time traffic information by connecting to the server in the same manner as in the first embodiment, and the alternative destination in consideration of the obtained traffic information The search unit 3405 searches for the movement destination.

  As a result, it is possible not only to inform the user of the alternative destination, but also to provide information on the destination that reflects the route to the home where the user finally goes home and the traffic information on the route. Information can be obtained while concentrating on the driving task comfortably without any operation.

(Embodiment 6)
In the fifth embodiment, the important destination and the substitutable destination are determined from the movement history, and when moving to the substitutable destination, the alternative destination is further calculated, and the information providing method regarding the plurality of destinations I explained about. In addition, when moving to an important destination where substitution is impossible, such as at a company or at home, it is often unnecessary to provide these alternative destination information. It was shown that only information can be provided to users.

  On the other hand, even if it is predicted to go to these important destinations, there may be cases where information on the waypoints is required if there is a place where the route has happened on the route before. For example, it is assumed that the user has passed through “restaurant A” or “restaurant B” in the past when heading to his home, which is an important destination. In this case, the final destination is home, but on the other hand, the user may go to “restaurant A” or “restaurant B”, and the user may need such information. For example, by posting information on the restaurant and information on the route to the restaurant, it is possible to encourage the user's action such as going to the restaurant today, and this information may be a matter of interest to the user. Many. Therefore, by automatically providing the information on the waypoints, only necessary information can be easily grasped without complicated operations. On the other hand, when going to “company” which is an important destination, it is assumed that the user does not go to the restaurant. At this time, even on the same route, unnecessary information provision can be suppressed and the screen can be used effectively.

  Therefore, in the present embodiment, a waypoint is extracted based on the calculated important destination, and a rule of an information provision mode in which the important destination and the waypoint are attached is created. Based on the rules of the mode, the method of posting information on these waypoints will be described. It is possible to provide an alternative destination in consideration of the important destination which is the final destination, and it is possible to provide information more suitable for the user.

  FIG. 65 is a detailed block diagram of substitution possibility determination unit 3411 in the present embodiment. The substitution possibility determination unit 3411 according to the present embodiment includes the components of the movement history classification unit 3424, the waypoint determination unit 3427, and the waypoint state rule creation unit 3429 in addition to the components of the fourth embodiment, and has an important purpose. Judgment of waypoints in the ground is performed.

  The movement history classification unit 3424 is a processing unit that classifies the movement history in units of important destinations using the important destinations determined by the important destination determination unit 3423. Hereinafter, a specific example will be described.

  FIG. 66 shows user movement history stored in the movement history storage unit 3401. As in the case of the fifth embodiment, the movement from the departure point to the destination is assigned as one movement, and an ID is given, and the date, the departure point, the passing intersection, the destination and the passage time are added and stored. Has been. FIG. 67 shows important destinations determined based on the movement history as in the fifth embodiment. “Home” and “Hanamachi Co., Ltd.” are determined as important destinations.

  Here, focusing on the movement history ID “002”, the movement history ID “010”, and the movement history ID “011” shown in FIG. 66, the movement history ID “002” is the important destination “Hanamachi Co., Ltd.”. This indicates that you have left and arrived at your important destination “home”. In general, when moving, a user often moves between points that are frequently visited for some purpose (defined as an important destination in the present invention) such as a home or a company.

  On the other hand, it is not always necessary to move between these important destinations, and there are cases where the vehicle travels via a predetermined point such as a detour. For example, the movement history ID “010” departs from the important destination “Hanamachi Co., Ltd.” and reaches the restaurant “Sant Zeria” that is not determined as an important destination. Further, the movement history ID “011” indicates that the user then leaves “Sant Zeria” and returns to “home”, which is an important destination. In other words, the user shown in this example usually travels from “company” to “home” between important destinations, but on the other hand, the user may go home via a restaurant “regal host” etc. Shows the trend.

  FIG. 68 is a diagram for explaining the movement tendency of these users on a map. From the travel history ID “002”, the user who has left “Hanamachi Co., Ltd.”, which is an important destination, passes through the “Raku 4”, “Raku 2”, “Raku 1”, and “Kyo 4 Machi” You can see that you are going home to the important destination “Home”. On the other hand, if the movement history IDs “010” and “011” are considered as one movement group, it leaves “Hanamachi Co., Ltd.”, passes through the intersections “Raku 4”, “Raku 2”, “Raku 1”. After approaching “San Zeria”, it can be seen that there is a case where “Sant Zeria” departs again, passes through “Raku 1” and “Kyo 4machi” and returns to “Home”. In this way, it is possible to capture the user's behavior tendency, such as usually moving between important destinations, while also going to a predetermined point.

  Therefore, the movement history classification unit 3424 first departs from the important destination based on the movement history, and classifies the movements that have reached the important destination as one group. Then, the waypoint determination unit 3427 determines a waypoint calculated by classification.

  FIG. 69 shows the movement between important destinations classified as one group based on the movement history. For example, since the movement history ID “001” shown in FIG. 66 departs from the important destination “home” and reaches the important destination “Hanamachi Co., Ltd.”, this is considered as one group. The departure place “home” and the destination “Hanamachi Co., Ltd.” are registered in the movement group ID “001”, and the frequency is counted. In addition, since there is no transit point in the movement corresponding to this group, the transit point and transit point category are “none”. As a result of searching all the movement histories, for example, a total of 180 runs corresponds to this group, and the frequency is counted as “180 times”.

  Similarly, since the movement history ID “002” departs from the important destination “Hanamachi Co., Ltd.” and reaches the important destination “home”, this is considered as one group, and the movement group ID “002”. The starting point “Hanamachi Co., Ltd.” and the destination “home” are registered and the frequency is counted.

  On the other hand, although the movement history ID “010” departs from the important destination “Hanamachi Co., Ltd.”, the arrival place is “Sant Zeria”. Therefore, referring to the next movement history ID “011”, the vehicle departs from “Sant Zeria” and reaches the important destination “home”. Therefore, when the movement history ID “010” and the movement history ID “011” are considered as one group, it may be considered that the person has left “Hanamachi Co., Ltd.” and has reached “home” via “Sant Zeria”. it can. Therefore, the frequency of the movement group ID “002” is incremented by 1, and “Sant Zeria” is determined as a transit point. In the case of FIG. 69, it is shown that there were 177 trips that departed from “Hanamachi Co., Ltd.” and reached “home”, of which 5 homes were returned via “Sant Zeria”. When the above procedure was performed on the movement history, the movement group ID “003” departed from “Home” and moved 32 times to the important destination “Munakata Tennis School”. This indicates that the user has been to “Family K”. In addition, when leaving the “Munakata Tennis School” for the moving group ID “004” and returning home to “Home”, 8 times to “Regal Host”, 7 times to “Surprising Burger”, and after stopping at the restaurant It shows a tendency to go home.

  The way-state rule creation unit 3429 creates a state rule for providing information in which important destinations and waypoints are attached based on the information determined by the movement history classification unit 3424 and the waypoint determination unit 3427. One of the ways of providing information about the destination is a landmark display. In general, landmarks are displayed with names, symbols, etc. on the map at locations where the stores are located. By displaying these landmarks while driving, the landmarks are displayed at those points. It is possible for the user to easily grasp that there is a stored store. Further, by visually grasping the display, the user's action such as going to the store can be promoted. On the other hand, there are many points having landmark displays on the map. Displaying all of these points results in excessive information, and there is often no need to display landmarks unrelated to the current user's travel. Therefore, in this example, a mode rule with a transit point related to travel between important destinations is created, and landmark display control is performed based on this mode rule.

  FIG. 70 shows a mode rule in which a category of waypoints related to important destinations is added to the waypoints determined based on the important destinations shown in FIG. 69. For example, in the case of the departure place “home” and the destination “Hanamachi Co., Ltd.”, the mode rule ID “001” has the transit point category “none”. This indicates from FIG. 69 that when leaving “home” and heading to “Hanamachi Co., Ltd.”, there is no transit point, and therefore no landmark display is performed during the travel.

  On the other hand, in the case of the departure place “Hanamachi Co., Ltd.” and the destination “home”, the mode rule ID “002” has the transit point category “restaurant”. From FIG. 69, when leaving “Hanamachi Co., Ltd.” and heading to “Home”, the landmark “Restaurant” may be displayed during the travel because it may go through “Sant Zeria”. Is shown.

  The mode rule created by the waypoint mode rule creation unit 3429 is stored in the mode information storage unit 3408, and the mode of information provision when the destination is predicted is controlled.

  FIG. 71 is a diagram illustrating an example of information provision when a movement destination is predicted. For example, now, the user departs from “Hanamachi Co., Ltd.” and the user is located at the point where the intersection “Raku 4 Machi” is passed. Here, as shown in the above embodiment, the movement destination of the user is predicted using the movement history. For example, assume that it is predicted that he will return home. The black line indicates the route from the current position of the user to the home. On the other hand, the mode information storage unit 3408 stores, for example, the rules for controlling landmarks as described above. For example, the state rule ID “002” shown in FIG. 70 corresponds to a restaurant because when departing from “Hanamachi Co., Ltd.” and going to “Home”, it may move to “Restaurant” as a transit point. There are rules for displaying landmarks. On the car navigation screen shown in FIG. 71, landmarks of “Sant Zeria” and “Taro Revolving Sushi” corresponding to the category “Restaurant” are displayed. On the other hand, for example, “Hamazaki CD Shop”, which is a CD shop, and “Wataya Shobo”, which is a bookstore, are not displayed with landmarks (the dotted lines indicate that they are not displayed).

  The user shown in this example tends to go to a restaurant while returning from the company. Therefore, by displaying the landmark of the restaurant while returning home, it can be understood that the restaurant exists at that point, and the user's action can be promoted. On the other hand, there are many points having landmark displays on the map. Displaying all of these points results in excessive information, and there is often no need to display landmarks unrelated to the current user's travel. By not displaying “Hamazaki CD Shop” and “Waiya Shobo” that do not fall under the category “Restaurant”, unnecessary information can be reduced, and the screen can be used effectively without impeding the impossibility of driving.

  As shown in FIG. 72, the last landmark, which is a transit point in the route toward the important destination, may be highlighted to clearly indicate that it is the last landmark. For example, as shown in FIG. 72, when departing from “Hanamachi Co., Ltd.” and heading to “Home”, “Santeria”, “Rotating Sushi Taro” and “Shoeful” corresponding to the category “Restaurant” are calculated and landmarks Assume that the display has been made. At this time, after passing “Shoeful”, there is no “restaurant” until the arrival at home. In other words, there is no “restaurant” around the route from “Shooful” to the home. Therefore, “Shoeful” is explicitly displayed as the last “restaurant”. As a result, it is possible to prevent a user from expecting that there is still a restaurant until home and not going to the last restaurant. In particular, depending on the distance and positional relationship between “home” and the last landmark, it may not be known that the landmark is a place where the last meal on the route to “home” can be performed. Specifically, when the detailed display of the car navigation screen is displayed as shown in FIG. 73, both “Shooful” and “Home” cannot be displayed, so “Shoeful” is the last “Restaurant”. Is unknown to the user. Therefore, by specifying the last restaurant as shown in FIG. 74, the user can know that it is the last restaurant. In addition, when purchasing fresh food such as fish and meat, the fresh food is less painful if it is purchased as close to the home as possible. Even in such a case, the user can purchase fresh food at the “supermarket” close to his / her home by explicitly displaying the fact that it is the last “supermarket”.

  In addition, it is possible to provide information on waypoints that take into account important destinations that will eventually go, rather than simply controlling the display of landmarks.

  FIG. 75 is an example of a display mode when it is predicted to leave “Hanamachi Co., Ltd.” and return to “home” as in FIG. 71. The final predicted destination is “home”, but the user may go to the restaurant “Sant Zeria”. Therefore, for example, FIG. 75 shows a case where the difference in arrival time between when returning to “home” as the final destination and when returning to “home” after passing through “Sant Zeria” is easily understood. As shown, it may be displayed in contrast. FIG. 75 shows a car navigation screen. The right side of the screen shows the route and the estimated arrival time when the user returns directly to the important destination “home”. The estimated arrival time is “18:55”.

  On the other hand, the right side of the screen shows a route and an estimated arrival time when the user returns home after passing through “San Zeria” determined as a transit point. First, the estimated arrival time to “Sant Zeria” is “18:45”. Furthermore, route information such as “10 minutes of traffic jam” is displayed on the route toward “Sant Zeria”. In addition, the average stay time “1 hour 20 minutes” at “Sant Zeria” in the important destination determination is added, and the arrival time “20:15” to the final destination “home” is indicated. ing.

  For users who tend to take a side trip to an important destination, the estimated arrival time at the waypoint, traffic jam information on the route to the waypoint, etc. are often matters of interest. For example, in this example, when there is a traffic jam on the route to “San Zeria” and the estimated arrival time is relatively late, it is possible to prompt the user to stop the action today. On the other hand, it is very cumbersome for the user to perform an operation to acquire such information. Therefore, these pieces of information may be provided using the display mode rules for important destinations and waypoints shown in the present embodiment.

(Modification 1 Waypoint determination method based on home)
In this embodiment, the waypoint is determined based on the important destination by determining the important destination based on the visit frequency and the average stay time. A home or company where the user visits frequently and stays for a long time cannot be substituted, and in general, the movement of the user is often movement between these important destinations. On the other hand, transit points such as restaurants and convenience stores often pass between these important destinations, and these transit points can also prompt the user to act by posting alternative destinations. The waypoint determination is not limited to the above method. Therefore, here, for example, a method for calculating the home from the movement history, taking the movement from the home to the home as one unit, and calculating the waypoint from the one movement will be described. Further, it is possible to calculate a waypoint reflecting the user's behavior characteristics.

  FIG. 77 is a system configuration diagram showing details of the alternative availability determination unit 3411 in the present modification. The alternative possibility determination unit 3411 in this modification includes a stay frequency calculation unit 3421, a stay time calculation unit 3422, an important destination determination unit 3423, a movement history classification unit 3424, and a waypoint, which are the constituent elements shown in the sixth embodiment. In addition to the determination unit 3427 and the waypoint condition rule creation unit 3429, the route includes a route time calculation unit 3425 and a route cost calculation unit 3426.

  The stay frequency calculation unit 3421 and the stay time calculation unit 3422 are processing units that calculate the stay frequency and stay time of the destination in the travel history accumulated in the travel history storage unit 3401, as in the sixth embodiment. In the modified example, “home” that is a reference for determining the waypoint is detected. In this modification, the important destination determination unit 3423 determines, for example, the one having the highest frequency and average stay time as a home. For example, in the case of car navigation, as shown in FIG. 58, the place where the stay time and stay frequency are the highest is parking at home or near home.

  Next, the movement history classification unit 3424 classifies the movement history based on this home. A specific example will be described with reference to the drawings. FIG. 78 shows the movement history accumulated in the movement history accumulation unit 3401. Similar to FIG. 66 and the like described above, the departure point, the waypoint, and the destination are set to one movement, and the time and date are attached in time series. Accumulated. Here, focusing on the movement history IDs “009”, “010”, and “011”, the movement history ID “009” leaves the home and reaches “Hanamachi Co., Ltd.” at 8:15. Then, from the movement history ID “010”, “Hanamachi Co., Ltd.” departs at 17:45 and reaches “Sant Zeria”. In other words, after staying for 9 hours and 30 minutes, it moved to “Sant Zeria”. Similarly, after staying in “Sant Zeria” for 1 hour from the movement history ID “011”, it indicates that the user has returned home. In other words, it shows that the company has moved from home to the company and Sanseria, and finally returned to home.

  Similarly, paying attention to the movement history IDs “015”, “016”, “017”, “018”, leave the home, move to “Star Cafe”, “Sugiyama Tennis Hall”, “Kurokiya”, and finally Indicates that he has returned home. Meanwhile, the stay time at each destination is “Star Cafe”, 2 hours, “Sugiyama Tennis Hall” 3 hours, and “Kurogiya” 2 hours. The transition of the movement history will be described using a map.

  FIG. 79 shows the geographical relationship of each destination accumulated in the movement history. The movement history IDs “009”, “010”, and “011” are indicated by black arrows “group 1”. It is a loop that leaves home, heads for “Hanamachi Co., Ltd.”, and returns from “Hanamachi Co., Ltd.” via “Sant Zeria”. Similarly, the movement history IDs “015”, “016”, “017”, and “018” are indicated by the black arrow “group 2”. It is a loop that leaves home, heads for "Star Cafe", heads for "Sugiyama Tennis Hall", and returns home via "Kurokiya".

  As described above, in general, the user often moves from the home to a predetermined point and returning home. In addition, the destinations reached during the movement can often be divided into destinations that cannot be replaced and waypoints that can be replaced. For example, in the movement of Group 1, “Hanamachi Co., Ltd.” cannot be substituted, while restaurant “Sant Zeria” is considered to be possible. Therefore, in this modification, the movement from leaving home to returning home is considered as one group, and a destination considered as a transit point based on the stay time and the distance from the home within the movement of one group. Judgment is made, and it is further determined that this waypoint can be replaced. The home may be registered by the user, or the registered home may be used.

  The transit time calculation unit 3425 is a processing unit that calculates the time spent at each destination in one movement based on the home. FIG. 80 shows the time spent staying at each destination in one movement based on the home based on FIG. 78. After staying at home the previous day for 10 hours, heading to “Hanamachi Co., Ltd.”, staying for 9 hours and 30 minutes, then moving to “San Zeria”, staying for 1 hour, and returning home again. Or after 10 hours at home, 2 hours at “Star Cafe”, 3 hours at “Sugiyama Tennis Hall”, 2 hours at “Kurokiya”, and then returned home Yes. In general, when a user leaves his / her home to fulfill a certain purpose, the destination may stay for a long time as compared to a transit point that happens to pass through. Therefore, a point staying for a long time in one movement is considered as a point where the purpose is achieved, that is, an important destination, while a point where the staying time is relatively short is considered as a transit point. Thereafter, it can be determined that these waypoints can be replaced.

  The transit time calculation unit 3425 is a processing unit that calculates the route cost obtained from the distance between each stayed destination and the home, map information, etc., out of one movement based on the home. FIG. 81 shows the route cost (here, distance) to each destination and home in addition to the stay time of each destination in one movement shown in FIG. In one movement from home to home, important destinations are often far away from other transit points. This is because there are many cases in which the user departs from a home, visits a certain facility, and stays at a predetermined point during the round trip. Therefore, it is considered that a point far from the home in one movement is an important destination, while a point having a relatively short distance can be determined as a transit point.

  The waypoint determination unit 3427 is a processing unit that determines a waypoint based on the above-mentioned stay time of each destination and the cost from the home. For example, the importance is calculated based on the staying time and the distance from the home, and a destination with high importance is determined as an important destination, and a destination with a low importance is determined as a substitute route. For example, the importance is calculated by normalizing a stay time of 1 hour as a weight 1 and a distance 1 km from the home as a weight 1 and integrating both weights. In FIG. 81, for example, the stay time at “Hanamachi Co., Ltd.” is 9 hours 30 minutes and the distance from the home is 15 km, so “9.5 × 15 = 427.5”. On the other hand, “Santeria” has a stay time of 1 hour and a distance from home of 8 km, so “2 × 8 = 16”. In this case, “Hanamachi Co., Ltd.” is an important destination that cannot be substituted, and “Sant Zeria” can be determined as a transit point (FIG. 82).

  In the case of the movement history IDs “015” to “018”, the stay time at “Star Cafe” is 2 hours and the distance from the home is 5 km. Therefore, the importance “2 × 5 = 10”, “Sugiyama Tennis” The stay time at the venue is 3 hours, the distance from the home is 20 km, the importance is “3 × 20 = 60”, the stay time at the Kurokiya is 2 hours, and the distance from the home is 10 km, The importance level is “2 × 10 = 20”, and “Sugiyama Tennis Field” with an importance level of 60 is determined as an important destination, and “Star Cafe” and “Kurokiya” are determined as transit points (FIG. 82).

  Furthermore, the stay frequency may be taken into consideration here as well. For example, suppose that every time you go to “Sugiyama Tennis Field”, you go to “Sugiyama Tennis Field” after going to “Star Cafe”. On the other hand, it is assumed that “Kurogi-ya” happens to be a point through which the user goes home, and sometimes the user has a tendency to go home directly. In this case, the “star cafe” is not a transit point, but a point that must be approached when heading to the “Sugiyama tennis court”, and it can be considered that it cannot be replaced. In addition, since the stay frequency of “Star Cafe” is higher than that of “Kurokiya”, it can be considered important when the stay frequency is high.

  In the embodiment, the important destination and the waypoint are determined only from the stay frequency and stay time. However, depending on the movement history, there is no great difference between them, and it may be difficult to determine the waypoint. On the other hand, as shown in this modification, the movement from home to home is considered as one unit, and the important destination is determined from this one movement in consideration of the stay time, distance, etc., and further the waypoint is determined. Thus, it is possible to determine the waypoint reflecting the user's behavior tendency. For example, “Sugiyama Tennis Field”, which is the most important of one trip from home to home even if there is not much difference in stay frequency and stay time at “Star Cafe”, “Sugiyama Tennis Field”, and “Kurokiya” This is the most important purpose of the movement, while “Star Cafe” and “Kurogi-ya” can be more flexibly determined as transit points. This will be described with reference to FIG.

  83, like FIG. 79, shows the geographical relationship between the home and each destination on a map. From the travel history and as mentioned above, “Hanamachi Co., Ltd.” and “Sugiyama Tennis Field” are important destinations, while “Sant Zeria”, “Star Cafe” and “Kurokiya” are transit points. It has been determined. That is, “Group 1” means leaving home and heading to the important destination “Hanamachi Co., Ltd.” and returning home via “Sant Zeria”. “Group 2” means leaving home and going to “Sugiyama Tennis Field” via “Star Cafe” and going home via “Kurogi-ya”. Yes. As described above, when the user moves, the user may move toward a certain important destination and return home via a predetermined point such as a detour during the round trip. By using the present invention, it is possible to determine important destinations and waypoints more reflecting the user's behavioral characteristics.

  Similarly to the sixth embodiment, the way-state rule creation unit 3429 generates a rule with a route from the home to the important destination and a waypoint between them. For example, a landmark display or an alternative destination Used for display control.

  FIG. 84 shows the rules of the generated mode. Similar to FIG. 70, a rule is generated in which a waypoint is attached with reference to a home and an important destination. For example, in the state rule “003”, when leaving the home and heading to “Sugiyama Tennis Field”, the category “cafe” of “star cafe” is reflected as the waypoint, and the place is “cafe”. Similarly, the mode rule “004” reflects the category “Restaurant” of “Kurogiya” as a waypoint when reflecting off the “Sugiyama Tennis Field” and returning to “Home”. It has become. By using the rules of this mode, as shown in the above embodiment, it is possible to easily grasp the information without cumbersome operation of the user by posting the alternative movement destination or controlling the landmark display. It becomes.

(Embodiment 7)
In the fourth, fifth, and sixth embodiments, the method of presenting information as an alternative destination that is the same category as the predicted destination has been described. However, in the fourth and fifth embodiments, the alternative destination cannot be predicted unless the destination is appropriately predicted from the movement history. For example, in general, when the user leaves the restaurant A, it is unlikely that the user will move to another restaurant B again. Therefore, since the restaurant B is not predicted as the destination when leaving the restaurant A, the mobile terminal normally does not display the destination of the restaurant category as the destination when leaving the restaurant A. Displays the destination of a category such as a bookstore. However, after leaving the restaurant A, the user may try to move to the restaurant B that is in the same category as the departure place. For example, the user achieves the purpose of the restaurant “to eat” because it went to restaurant A but it was a holiday, it was not full, it was not a delicious restaurant when entering the restaurant Sometimes you can't, and you look for another restaurant. In such a case, providing information on another restaurant is beneficial to the user and is very important. In Embodiments 4, 5, and 6, the user goes to restaurant A and then goes to restaurant B. If there is no travel history such as this, information on alternative restaurants cannot be provided. Even if there is a movement history such as going to restaurant B after going to restaurant A, even if information on alternative restaurants is presented each time after going to a restaurant, it often does not fit the user's situation.

  Therefore, in the present embodiment, using the stay time at the departure place, it is predicted whether or not the user has achieved a goal such as “meal” at the departure place, and an alternative destination is presented only when the goal is not achieved. In general, if the staying time of the restaurant A as the departure place is long, such as one hour, the user is highly likely to have achieved the purpose of “eating”. Conversely, if the time is much shorter than the average, such as 5 minutes, the terminal presents an alternative restaurant because there is a high possibility that the purpose of “mealing” due to “full seating” or the like has not been achieved. Hereinafter, the method of the present embodiment will be described.

  FIG. 85 is a system configuration diagram in the present embodiment. The same reference numerals are given to the components shown in the fourth embodiment, and the description thereof is omitted. Hereinafter, each component will be described first with reference to the drawings, and the operation of the system will be described later.

  The departure point category determination unit is a processing unit that detects the departure point in the current travel from the movement history and the like, and determines the departure point category. For example, as in the fifth embodiment, when the movement history and the category of the movement destination are accumulated in the movement history accumulation unit 3401 as shown in FIG. 86, the departure place is “Sant Zeria” which is the latest movement destination history. The category is “Restaurant”. The departure from “San Zeria” at 19:15 is detected, for example, by starting the engine at “Sant Zeria” at 19:15.

  The departure place stay time detection unit 7103 detects the stay time at the departure place from the movement history. For example, when the movement history is accumulated as shown in FIG. 86, the departure time is “19:15” of the history ID “011” which is the latest movement destination history, and the arrival time is “1” of the history ID “010”. Since it is “18:15”, it is one hour (= 19: 15-18: 15) which is the staying time of the departure place “Sant Zeria” in the current travel.

  The reference stay time storage unit 7104 stores the reference stay time in each category as shown in FIG. For example, the reference stay time ID “001” indicates that the reference stay time of the category “restaurant” is “15 minutes”. The reference staying time is the minimum staying time necessary for the user to achieve a purpose such as purchase behavior in the staying place. For example, in the category “restaurant”, it is the minimum staying time required to achieve the purpose of “meal”. In the category “bookstore”, it is the minimum stay time required to achieve the purpose of “buying books”. Similarly, in the category “karaoke BOX”, the purpose is “sing a song”, and in the category “movie theater”, “watch a movie”. The reference stay time is given in advance by a designer or the like.

  The goal achievement determination unit 7105 corresponds to the departure place category output from the departure place category determination unit 7102, the stay time of the departure place output from the departure place stay time detection unit 7103, and the departure place category in the reference stay time accumulation unit 7104. The reference stay time is used to determine whether the user has achieved a purpose specific to the departure place such as purchase behavior at the departure place. Specifically, when the stay time at the departure place is shorter than the reference stay time, it is determined that the purpose has not been achieved. This is because at least the reference stay time is necessary to achieve the purpose. As shown in FIG. 88, if the stay time of the user's departure place “San Zeria” is “10 minutes”, the standard stay time of “Restaurant” that is the category of “Sant Zeria” is shorter than “15 minutes”. It is determined that the purpose of the “restaurant” such as “to do” could not be achieved.

  The destination category determining unit 7106 determines the destination category as the departure place category when the purpose achievement determining unit 7105 determines that the purpose is not achieved.

  For example, when it is determined that the purpose has not been achieved as shown in FIG. 88, the category of the departure place “San Zeria” of the user is “Restaurant”, so the destination category is “Restaurant”.

  The alternative destination search unit 7108 searches for the alternative destination corresponding to the destination category determined by the destination category determination unit 7107 from the map information stored in the map information storage unit 3406 provided in the car navigation system or the server. . For example, as shown in FIG. 89, “regal host” and “tonya” that are in the same “restaurant” category as the departure place “Sant Zeria” are searched.

  As in the fourth embodiment, the search area may be limited by the distance using the destination distance calculation unit 3404.

  The display control unit 7109 performs control to display information on the destination determined by the alternative destination search unit 7108 on the information presentation unit 7109. The destination information is stored in the map information storage unit 3406 as in the fourth embodiment.

  As in the fourth embodiment, the mode information storage unit 3408 and the important item determination unit 3407 may be used to determine important items for display and control the display.

  The information presentation unit 7110 presents information on the in-vehicle display according to the display control unit 7109. For example, information on each destination is presented as shown in FIG.

  Hereinafter, the flowchart of the present embodiment will be described with reference to FIG.

  First, the departure place category determination unit 7102 determines the departure place category based on the movement history accumulated in the movement history accumulation unit 3401 (step S7701). The departure place stay time detection unit 7103 detects the stay time at the departure place based on the movement history (step S7702). The goal achievement determination unit 7105 refers to the reference stay time corresponding to the departure place category from the reference stay time accumulation unit 7104 (step S7703), and determines whether or not the goal has been achieved depending on whether the stay time at the departure place is shorter than the reference stay time. (Step S7704). If it is short, it is determined that the objective has not been achieved (yes in step S7704), and the process proceeds to step S7706. If it is long, it is determined that the objective has been achieved (yes in step S7705), and the process proceeds to step S7705.

  In step S7705, for the purpose achievement. The alternative destination of the departure place is not predicted, and the process proceeds to step S7708 (step S7705). (At this time, the travel destination that is the same category as the departure place category may be excluded from the candidates, and the travel destination may be predicted from the travel history in the same manner as in the above embodiment to display the information.

In step S7706, since the purpose is not achieved, the destination category determining unit 7106 determines the same category as the departure place as the destination category (step S7706). The alternative destination search unit 7108 searches for an alternative destination from the map information storage unit 7107 according to the determined destination category (step S7707).
In step S7708, display control of the information on the movement destination predicted by the display control unit 7109 is performed, and the information presenting unit 7110 presents the information (step S7708).

(Modification 1 Create standard stay time from travel history)
In the seventh embodiment, the reference stay time is given in advance by a designer or the like. However, the reference stay time may be automatically generated from the stay time of each category in the accumulated movement history.

  Hereinafter, the method of the present embodiment will be described.

  FIG. 92 is a system configuration diagram according to the present embodiment. The same reference numerals are given to the components shown in the seventh embodiment, and the description thereof is omitted. Hereinafter, each component will be described first with reference to the drawings, and the operation of the system will be described later.

  The reference stay time calculation unit 7811 obtains the reference stay time of the stay time in each category from the travel history stored in the travel history storage unit 3401. Specifically, assuming that the staying time is a normal distribution, the average staying time and the standard deviation of staying time in each category are calculated from the travel history, and (average staying time) −3 × (standard deviation of staying time) Is the standard stay time. For example, it is assumed that a movement history as shown in FIG. 93 is accumulated as a movement history corresponding to the category “restaurant”. At this time, the history of staying time in the category “restaurant” is “60 minutes”, “55 minutes”, “65 minutes”, and “60 minutes”. From these, the average stay time is calculated as “60 minutes” {60 + 55 + 65 + 60) / 4}. The standard deviation of “60 minutes”, “55 minutes”, “65 minutes”, and “60 minutes” is about “4 minutes”. Therefore, the standard stay time is 48 minutes (60-3 × 4).

  Hereinafter, the flowchart of the present embodiment will be described with reference to FIG. The same reference numerals are given to the components shown in the seventh embodiment, and the description thereof is omitted.

  First, the reference stay time calculation unit 7811 calculates the reference stay time from the travel history stored in the travel history storage unit 3401. (S step 8000). This is the same as in Embodiment 7 below.

(Modification 2 Judgment of purpose achievement from purchasing behavior at departure place)
In this example, success / failure of the purpose achievement at the departure place of the user is detected by the staying time. However, even if the stay time at the “bookstore” is shorter than the reference stay time, the purpose of “buying a book” may be achieved. For example, when the time required to achieve the purpose is short, false detection may be performed. is there. Note that most of the purpose at the departure point is purchasing behavior. For example, “to eat” at “restaurants” and “watch movies” at “movie theaters” are purchasing behaviors. Therefore, by detecting the purchase behavior at the departure place, such as referring to the purchase record recorded in the mobile terminal containing the electronic money, the success or failure of the purpose can be reliably determined.

  Hereinafter, the method of the present embodiment will be described.

  FIG. 95 is a system configuration diagram according to the present embodiment. The same reference numerals are given to the components shown in the seventh embodiment, and the description thereof is omitted. Hereinafter, each component will be described first with reference to the drawings, and the operation of the system will be described later.

  The purchase record storage unit 8111 is stored in a mobile terminal containing electronic money, for example, as shown in FIG. For example, the purchase record ID “004” indicates that a purchase action for paying “900 yen” has occurred at the time “2003/7/17 19:10”.

  The departure place purchase behavior detection unit 8103 detects the departure place and the time at the departure place from the movement history accumulation unit 3401 and detects purchase behavior at the departure place from the purchase record accumulation unit. Specifically, it is detected whether or not a purchase action has occurred during the time at the departure place. For example, when there is the movement history of FIG. 86 and the purchase history of FIG. 96, it is between “2003/7/17 18:15” to “2003/7/17 19:15” at the departure place “Sant Zeria”. It is assumed that the purchase behavior occurs at the departure place because the purchase behavior for paying “900 yen” has occurred at “2003/7/17 19:10”.

  The goal achievement determination unit 8105 determines whether the user has achieved the goal at the departure place using the purchase behavior at the departure point detected by the departure place purchase behavior detection unit 8103. Specifically, when the purchase behavior at the departure place cannot be detected, it is determined that the purpose has not been achieved.

  Hereinafter, the flowchart of the present embodiment will be described with reference to FIG. The same reference numerals are given to the components shown in the seventh embodiment, and the description thereof is omitted.

  First, step S7701 is performed, and the departure place purchase behavior detection unit 8103 detects purchase behavior at the departure point based on the movement history accumulated in the movement history accumulation unit 3401 and the purchase record recorded in the purchase record accumulation unit 8111 ( Step S8302). The goal achievement determination unit 8105 determines goal achievement from the purchase behavior at the departure place (step S8303). When the purchase behavior is not detected, the goal achievement determination unit 8105 determines that the goal has not been achieved (yes in step S8303), and step If it is detected in S7706, it is determined that the object has been achieved (No in Step S8303), and the process proceeds to Step S7705.

  This is the same as in Embodiment 7 below.

  A destination display apparatus according to the present invention includes a destination prediction control unit, a posting control unit, and a posting unit, and displays destination information in a suitable format at a timing suitable for the user. It is useful as a body terminal.

It is a block diagram which shows the whole structure of the movement destination display apparatus in Embodiment 1 of this invention. (A) is a table | surface which shows the movement destination candidate estimated by the movement destination estimation part shown in FIG. 1, and the arrival probability to each movement destination candidate. (B) and (c) are tables showing the destination candidates predicted by the destination prediction unit and the arrival probability for each destination candidate separately for holidays and weekdays. (A) is a table | surface which shows an example of the destination information of each destination. (B) is a table | surface which shows an example of the operation candidate estimated to be performed in each destination, and the probability that the operation will be performed. It is a table | surface which shows the posting rule of the movement destination information to each movement destination candidate for every movement destination arrival probability. It is a figure which shows an example of the movement destination information posted on the posting part based on the movement destination arrival probability. It is a flowchart which shows operation | movement from the start of a movement destination display apparatus to posting of movement destination information. (A) is a table | surface which shows an example of several predicted destination candidates and the arrival probability to each candidate. (B) is a table | surface which shows an example of the posting rule in the case of displaying the route | route to the predicted moving destination candidate according to the color according to the arrival probability to each candidate. (C) is a posting rule when a route to a destination where the destination arrival probability exceeds a threshold (20% in this case) is color-coded with a route to a destination whose destination arrival probability is equal to or less than the threshold. It is a table | surface which shows an example. FIG. 6 is a diagram in which a route to a destination is predicted based on a destination candidate list in a destination prediction unit, and a route to the destination is posted on a posting unit based on a posting rule in a posting control unit. It is a figure which shows an example of the movement destination information at the time of displaying together with the movement area shown by FIG. 8 and commercial information, such as a shop and a facility in the movement area. An example of destination information when the location of a store, facility, etc. is displayed in a simple graphic within the movement area shown in FIG. 8 and commercial information about the store is displayed for the first time when the graphic is touched with a finger. FIG. FIG. 11 is a functional block diagram illustrating an overall configuration of a destination display device for posting destination information based on input of destination information via a touch panel or the like as in FIG. 10. It is a figure which shows the relationship between the position on the notice screen which the user touched, and the coordinate (150, 300) (a unit is made into a pixel, for example) which the input coordinate calculation part calculated. It is a table | surface which shows an example of the destination information containing commercial information, such as a store in a movement area, and a facility. (A) is a figure which shows an example of the map information posted on a posting screen based on a present position. (B) is a figure which shows the coordinate of the landmark in a movement area, and the effective range recognized that the coordinate was touched. (C) is a table | surface which shows the relationship between the coordinate of the part touched with the finger | toe in the input part, and the commercial information (landmark information) displayed according to the coordinate. It is a flowchart which shows operation | movement of the movement destination information posting determination part in the case of displaying the movement destination information regarding the landmark when the landmark displayed simply in the movement area is touched with a finger. (A) shows the rules of posting rules when posting destination information in different modes (for example, the size of the posting frame, the posting position in the posting screen, the posting time, the color, etc.) according to the distance to the destination. It is a table | surface which shows an example. (B) is a destination in a different manner (for example, the type of destination information posted, the size of the posting frame, the posting position in the posting screen, the posting time, the color, etc.) depending on the distance to the destination. It is a table | surface which shows an example of the posting rule in the case of posting information. The screen in which the destination information was posted on the posting unit based on the posting rule by the posting control unit is shown. It is a table | surface which shows an example of the movement destination candidate list | wrist estimated when passing a specific landmark. It is the flowchart which showed the operation | movement from the start of a movement destination display apparatus to posting. It is a figure which shows an example of the posting in the case of posting detailed moving destination information with a predetermined size when the moving destination arrival probability exceeds a threshold even if the distance from the current position is long. (A) is a figure which shows the example of a display of the movement destination information in the starting point in the case of scroll-displaying the path | route to the present position from the company which is the predicted movement destination. (B) is a figure which shows the example of a display which made the scroll screen of the end point correspond to the present bulletin screen from the scroll screen shown to (a). (A) is a figure which shows an example which scroll-displays the path | route to two movement destinations within the same display frame to a branch point. (B) is a figure which shows an example which scrolls each path | route within the display frame for every movement destination, after the path | route to two movement destinations branches. It is a figure which shows an example of the destination information of the same category of the vicinity posted together with the destination information of the destination when the distance from the current position to the destination is long. (A) is a movement destination candidate list | wrist which shows an example of the arrival probability to the movement destination candidate estimated when passing a predetermined landmark. (B) is a table | surface which shows an example of the movement destination information containing commercial information, such as the facilities of the movement destination candidate vicinity which belongs to the same category. (C) is a table | surface which shows an example of the posting rule in the case of controlling whether commercial information, such as a facility which belongs to the same category, is displayed according to the distance from the current position to the destination. It is a figure which shows an example of the posting posted together with the facilities etc. which belong to the same category as a movement destination when the distance from a present position to a movement destination is long. It is a figure which shows the existence range of the facilities, etc. of the same category in the case of controlling the same category information posted as "other candidates" according to the distance from a present position to a movement destination candidate. 10 is a diagram illustrating a display example in Embodiment 2. FIG. FIG. 10 is a block diagram illustrating a configuration of a movement destination display device according to a third embodiment. It is a flowchart which shows the operation | movement which changes the display content of movement destination information according to the past frequency | count of the visit to the movement destination predicted. It is a table | surface which shows an example of the posting rule in the case of controlling the content displayed as movement destination information according to the number of visits of a movement destination. It is a table | surface which shows an example of the past movement history accumulate | stored in the movement history storage part. FIG. 10 is a diagram illustrating a posting rule in the third embodiment. FIG. 10 is a diagram illustrating a posting rule in the third embodiment. FIG. 10 is a diagram illustrating a posting rule in the third embodiment. It is a figure which shows an example of the destination information posting screen which posted more detailed content when the frequency | count of the visit to a destination is comparatively few. It is a figure which shows an example of the movement destination information posting screen which posted more simple content when the frequency | count of a visit to a movement destination is comparatively large. FIG. 10 is a system configuration diagram in the fourth embodiment. It is a figure which shows the movement history in Embodiment 4. [Fig. 20] Fig. 20 is a diagram illustrating destination prediction in the fourth embodiment. FIG. 20 is a diagram illustrating calculation of a distance from a predicted movement destination in the fourth embodiment. FIG. 20 is a diagram illustrating retrieval of an alternative movement destination in the fourth embodiment. FIG. 20 is a diagram illustrating retrieval of an alternative movement destination in the fourth embodiment. FIG. 20 is a diagram illustrating retrieval of an alternative movement destination in the fourth embodiment. FIG. 20 is a diagram illustrating retrieval of an alternative movement destination in the fourth embodiment. FIG. 20 is a diagram illustrating retrieval of an alternative movement destination in the fourth embodiment. FIG. 20 is a diagram illustrating information regarding a movement destination in the fourth embodiment. FIG. 10 is a diagram illustrating a display mode in a fourth embodiment. FIG. 10 is a diagram for explaining determination of important items in the fourth embodiment. FIG. 20 is a diagram showing a display of a movement destination in the fourth embodiment. FIG. 20 is a diagram showing a display of a movement destination in the fourth embodiment. 10 is a flowchart in the fourth embodiment. 10 is a flowchart in the fourth embodiment. FIG. 20 is a diagram illustrating retrieval of an alternative movement destination in the fourth embodiment. FIG. 20 is a diagram illustrating retrieval of an alternative movement destination in the fourth embodiment. FIG. 10 is a system configuration diagram in the fifth embodiment. FIG. 10 is a system configuration diagram in the fifth embodiment. It is a figure which shows the movement history in Embodiment 5. FIG. FIG. 11 is a diagram showing important destination determination in the fifth embodiment. It is a figure which shows determination of the destination which can be substituted in Embodiment 5. FIG. FIG. 20 is a diagram illustrating a display example of an alternative movement destination in the fifth embodiment. FIG. 20 is a diagram illustrating a display example of an alternative movement destination in the fifth embodiment. FIG. 10 is a diagram for explaining landmark display control in a fifth embodiment. FIG. 20 is a diagram illustrating a display example of an alternative movement destination in the fifth embodiment. FIG. 20 is a diagram illustrating a display example of an alternative movement destination in the fifth embodiment. FIG. 16 is a system configuration diagram in the sixth embodiment. It is a figure which shows the movement history in Embodiment 6. FIG. It is a figure which shows the important destination in Embodiment 6. FIG. It is a figure explaining the classification | category of the movement history in Embodiment 6. FIG. FIG. 20 is a diagram for explaining determination of a waypoint in the sixth embodiment. FIG. 20 is a diagram for describing creation of a display mode in a sixth embodiment. FIG. 20 is a diagram illustrating an example of display in the sixth embodiment. FIG. 20 is a diagram illustrating an example of display in the sixth embodiment. FIG. 20 is a diagram illustrating an example of a detailed display in the sixth embodiment. FIG. 20 is a diagram illustrating an example of a detailed display in the sixth embodiment. FIG. 20 is a diagram illustrating an example of display in the sixth embodiment. FIG. 20 is a diagram for explaining an alternative destination search in the sixth embodiment. FIG. 16 is a system configuration diagram of a first modification example in the sixth embodiment. It is a figure which shows the movement history of the modification 1 in Embodiment 6. FIG. It is a figure explaining the classification | category of the movement history of the modification 1 in Embodiment 6. FIG. It is a figure explaining the classification | category of the movement history of the modification 1 in Embodiment 6. FIG. It is a figure explaining the stay time and distance of the movement history of the modification 1 in Embodiment 6. FIG. FIG. 38 is a diagram for explaining the importance of a movement destination in Modification 1 in Embodiment 6. It is a figure explaining the waypoint determination of the modification 1 in Embodiment 6. FIG. It is a figure explaining the rule of the aspect of the modification 1 in Embodiment 6. FIG. FIG. 18 is a system configuration diagram in the seventh embodiment. FIG. 20 is a diagram showing a movement history in the seventh embodiment. It is a figure which shows the reference | standard stay time in Embodiment 7. FIG. FIG. 20 is a diagram showing a method for determining a destination category in the seventh embodiment. FIG. 23 is a diagram illustrating a method for determining an alternative movement destination in the seventh embodiment. FIG. 38 is a diagram showing a display of a movement destination in the seventh embodiment. 18 is a flowchart in the seventh embodiment. FIG. 16 is a system configuration diagram of a first modification example in the seventh embodiment. FIG. 38 is a diagram showing a movement history of the first modification example in the seventh embodiment. 18 is a flowchart of Modification 1 in Embodiment 7. FIG. 18 is a system configuration diagram of a second modification example in the seventh embodiment. It is a purchase record of the modification 2 in Embodiment 7. FIG. 18 is a flowchart of Modification 2 in Embodiment 7. It is a figure which shows the example of a display of the conventional destination described in patent document 1. FIG.

Explanation of symbols

26 Display Device in Conventional Technology 51 Vehicle Position in Conventional Technology 52 Traveling Road in Conventional Technology 54 Predicted Destination in Conventional Technology 55 Information Display Window in Conventional Technology 100 Destination Display Device 101 Mobile Terminal (Car Navigation Body)
102 Position Information Detection Unit 103 Time Measurement Unit 104 Posting Control Unit 105 Map Information Storage Unit 106 Posting Unit 107 Destination Prediction Unit 108 Network 109 Information Providing Server 121 Input Unit 122 Input Coordinate Calculation Unit 123 Destination Information Posting Coordinate Calculation Unit 124 Movement Destination information posting determination unit 201, 202, 203, 3101 Destination candidate list 401, 3102, 3601 Destination information 501, 502, 503, 3103 Posting rules 601, 2801, 3001 Own vehicle position in the posting unit 602, 2802, 3002 603, 623, 2803, 2804 Predicted destination in the posting unit 604, 624 Candidate operation in the predicted destination in the posting unit 605 Traffic information on the predicted destination in the posting unit 606, 626 Predicted transition in the posting unit Inform the prediction destination in sound effects 607,627 posted part to inform the previous voice notification 608,609,628 of the predicted destination in the prediction destination 631 Posted portion of the post portion moving destination information (parking information)
701 Candidate operation candidate in the posting unit in the posting unit 702 Candidate operation candidate in the posting unit in the posting unit 703 Distance and arrival time to the predicted destination in the posting unit 704 Traffic information regarding the predicted destination in the posting unit 801, 802, 901 , 902, 903 Scroll screen in the posting unit 2101 Movement history storage unit 2102 Destination prediction unit 2103 Posting control rule storage unit 2104 Posting information storage unit 2105 Information posting control unit 2106 Information posting unit 2701 Target destination list 2702 Posting rule 2703 Posting rule 3401 Destination history storage unit 3402 Destination prediction unit 3403 Destination category determination unit 3404 Destination distance calculation unit 3405 Alternative destination search unit 3406 Map information storage unit 3407 Important item determination unit 3409 Display control unit 3410 Information posting Part 3411 substitution possibility judgment part 3421 stay frequency computation part 3422 stay time computation part 3423 important destination judgment part 3424 travel history classification part 3425 transit time computation part 3426 transit cost computation part 3427 transit place judgment part 3428 substitute destination judgment part 3429 Route form rule creation unit 3603 Gas station 3604 destination information facility 3360 map information 7102 departure point category determination unit 7103 departure point stay time detection unit 7104 reference stay time accumulation unit 7105 goal achievement determination unit 7106 Destination category determination unit 7108 Alternative destination search unit 7109 Display control unit 7110 Information presentation unit 7811 Reference stay time calculation unit 8103 Departure place purchase behavior detection unit 8105 Purpose achievement determination unit 8111 Purchase record accumulation unit

Claims (29)

A movement history accumulating means for accumulating a movement history that is information on a movement route from the departure place to the destination;
A destination prediction means for predicting a plurality of destination candidates based on the accumulated movement history;
Display information generating means for generating display information for displaying information related to the plurality of predicted candidates or information related to the route to each candidate in a different manner for each candidate; apparatus. The destination prediction means includes
A probability calculating unit that calculates a destination arrival probability that is a probability of reaching each candidate based on the movement history;
The destination display device according to claim 1, wherein the display information generation unit generates the display information based on the calculated destination arrival probability. The destination prediction means includes
A distance calculation unit that calculates the distance from the current position to each of the candidates,
The destination display device according to claim 1, wherein the display information generation unit generates the display information based on the calculated distance. The destination display device further includes an update frequency calculation means for calculating an update frequency of the display information,
The destination display apparatus according to claim 3, wherein the mode is changed according to the update frequency calculated by the update frequency calculation means and the distance calculated by the distance calculation unit. The aspect includes (1) a position in a display screen on which information on a plurality of predicted candidates or information on a route to each candidate is displayed, (2) a displayed size, (3) the candidate or The movement according to any one of claims 1 to 4, wherein the scale is one of a scale on which a map relating to the route is displayed and (4) a degree of detail in which information on the candidate or the route is displayed. First display device. The movement history includes a history of operations by the user,
The aspect is characterized in that whether or not operation guidance for each candidate is added to the predicted information about the plurality of candidates or information about the route to each candidate and displayed. The destination display device described. The display information generation means is an area including a movement route from a current position to a plurality of the candidates, and displays a plurality of areas on the map corresponding to the candidates in a different manner for each candidate. The destination display device according to claim 1, wherein the display information is generated. The aspect is a color,
The destination display device according to claim 7, wherein the display information generation unit generates the display information for displaying each region on the map by color-coding for each candidate. The aspect is hatching,
The destination display device according to claim 7, wherein the display information generation unit generates the display information for displaying each area on the map with different hatching for each candidate. The destination display device further includes:
Display means for displaying the display information generated by the display information generating means;
A touch panel laminated on the display surface of the display means,
The display information generation unit generates the display information for displaying the plurality of regions in a different manner for each candidate, displays the display information on the display unit, and displays each of the areas displayed on the display unit on the touch panel. When a point in the area is touched by a human body, the display information for displaying information on the route located in the touched area together with each area is generated and displayed on the display means. The destination display device according to claim 7. In the region including the movement route from the current position to the plurality of candidates, the width on the left lane side from the current position toward the candidates is determined to be larger than the right width along the route. The destination display device according to claim 7, wherein The travel history includes information representing the number of visits or visit time to the destination,
The destination display device according to claim 1, wherein the display information generation unit generates the display information based on the number of visits or visit times to each candidate from the accumulated movement history. The said display information generation means calculates the visit interval to each said candidate from the said movement history further, and when there exists an interval more than a predetermined threshold value, it makes the said detail level detailed. Destination display device. The destination display device further includes map information storage means for storing map information including a travel route from a departure place to a destination,
An alternative destination search unit that searches the map information storage unit as an alternative destination for a destination that is different from the destination stored in the movement history storage unit;
2. The destination prediction unit predicts, as the plurality of candidates, a destination stored in the movement history storage unit and an alternative destination searched by the alternative destination search unit. Destination display device. The destination display device further includes category determining means for determining a category of the accumulated destination.
15. The destination display according to claim 14, wherein the alternative destination search unit predicts an alternative destination of a category that is common to the accumulated destination category determined by the category determination unit as a candidate. apparatus. The destination display device further includes the same kind of contents among the information about the destination stored in the movement history and the alternative destination among the plurality of candidates predicted by the destination prediction means. An important item determining means for determining items having different values from the items shown as important items,
15. The destination display device according to claim 14, wherein the display information generating unit displays the important item determined by the important item determining unit in a different form from an item that is not the important item. The alternative destination search means determines a range to search for the alternative destination according to the accumulated distance to the destination or the time to reach, and selects an alternative destination within the determined range. The destination display apparatus according to claim 14, wherein a search is performed. The alternative destination search means further acquires traffic information on the route to the stored destination, and searches for the alternative destination according to the arrival time calculated in consideration of the acquired traffic information. The destination display device according to claim 17, wherein The destination display device further determines whether or not the destination can be replaced by using the stay time or the number of stays at the destination among the information about the destination stored in the movement history storage means. An alternative determination means for determining
15. The destination display apparatus according to claim 14, wherein the alternative destination search unit searches for the alternative destination when it is determined by the alternative determination unit that substitution is possible. The alternative determination means further detects the home from the movement history, and can be substituted by using the stay time at the destination other than the home, the number of stays, or the distance from the home in the travel until leaving the home and returning home. The destination display apparatus according to claim 19, wherein it is determined whether the destination is a destination. The destination display device further determines whether or not the destination can be replaced by using the stay time or the number of stays at the destination among the information about the destination stored in the movement history storage means. An alternative determination means for performing the determination,
The destination display apparatus according to claim 1, wherein the plurality of destination candidates include the destination that can be replaced and the destination that cannot be replaced. The aspect is an aspect related to the display of a landmark which is a landmark on a map,
The destination display device further includes a mode rule accumulating unit for accumulating and accumulating the substitutable destination determined by the alternative determining unit and the destination that cannot be substituted.
The destination display device according to claim 21, wherein the display information generation means displays the alternative destination landmarks stored in the mode rule storage means. The alternative determination means further detects the home from the movement history, and the destination is replaced according to the stay time, the number of stays, or the distance from the home in the movement from leaving the home to returning home. The destination display apparatus according to claim 21, wherein it is determined whether or not the destination is a possible destination. The destination display apparatus according to claim 1, wherein the destination prediction unit predicts a plurality of destination candidates based on a stay time at the departure place. The destination prediction means further includes a departure place category determination unit that determines a category of the departure place,
A standard stay time storage unit that stores the standard stay time for each category;
A goal achievement determination unit for judging success or failure of the goal at the departure place from the magnitude relationship between the stay time at the departure place and the reference stay time corresponding to the category of the departure place in the reference stay time storage means; ,
The destination display apparatus according to claim 24, wherein the destination prediction means predicts a destination of a category common to the category of the departure place when the purpose is not achieved. The destination prediction means further includes a reference stay time calculation unit that calculates a reference stay time for each category from the movement history,
The objective achievement determination unit determines success or failure of achievement of the objective by comparing a reference stay time calculated by the reference stay time calculation unit with a stay time at the departure place. Item 26. A destination display device according to Item 25. The destination display apparatus according to claim 25, wherein the purpose at the departure place is a purchase action. A movement history accumulation step for accumulating a movement history that is information about a movement route from the departure place to the destination;
A destination prediction step of predicting a plurality of destination candidates based on the accumulated movement history;
A display information generating step for generating display information for displaying information related to the plurality of predicted candidates or information related to the route to each candidate in a different manner for each candidate. Method.   A movement history accumulation step for accumulating a movement history that is information on a movement route from the departure place to the destination, a movement destination prediction step for predicting a plurality of candidates for the movement destination based on the accumulated movement history, A program that causes a computer to execute a display information generation step of generating display information for displaying information on a plurality of predicted candidates or information on a route to each candidate in a different manner for each candidate.

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