JP5786567B2 - Statistical information providing system, statistical information providing apparatus, statistical information providing method, and computer program - Google Patents

Description

  The present invention relates to a statistical information providing system, a statistical information providing apparatus, a statistical information providing method, and a computer program that provide statistical information that predicts the transition of a situation with respect to time.

  2. Description of the Related Art In recent years, a navigation device is often mounted on a vehicle that provides vehicle travel guidance so that a driver can easily arrive at a desired destination. Here, the navigation device detects the current position of the vehicle by a GPS receiver or the like, acquires map information corresponding to the current position through a recording medium such as a DVD-ROM or HDD, or a network, and displays it on a liquid crystal monitor. It is a device that can do. Then, map information including the current position of the vehicle is read from a recording medium or the like, a map image around the current position of the vehicle is drawn based on the map information and displayed on the display device, and the vehicle position mark is overlaid on the map image. You can also see at a glance which point the vehicle is currently driving by scrolling the map image as the vehicle moves, or by fixing the map image to the screen and moving the vehicle position mark I have to. In recent years, some mobile phones, smartphones, PDAs (Personal Digital Assistants), personal computers, and the like have functions similar to those of the navigation device.

  Furthermore, in a conventional navigation device or the like, not only the map image and the current position of the vehicle are displayed, but in order to improve the convenience for the user, the past situation (for example, the traffic congestion state of the road) is statistically analyzed. Information was generated and guidance using the generated statistical information was also performed (see, for example, Japanese Patent Application Laid-Open No. 2004-234649). Here, the statistical information includes, for example, traffic jam prediction information and weather prediction information, and the guidance using the statistical information includes, for example, future traffic jam prediction information for roads located around the vehicle, and future weather information. There are cases in which a change is guided, an estimated arrival time to a destination is calculated based on traffic jam prediction information, and guidance is given.

JP-A-2004-234649 (5th page, 6th page, FIG. 8)

  However, the future situation does not always change as predicted by the statistical information, and the actual situation often changes to a situation different from the situation predicted by the statistical information. In particular, when an unpredictable situation such as an accident or a natural disaster occurs, the actual situation may change to a situation greatly different from the situation predicted by the statistical information. As a result, for example, in the statistical information, a traffic jam that was predicted to be resolved after 2 hours has been resolved after 1 hour, or has not been resolved even after 3 hours.

  Here, in recent years, a system has been provided in which a user can post posted texts on a computer network via a terminal and can browse posted texts posted by other users. For example, there are blogs, SNS (Social Network Service), Twitter (registered trademark), chat and the like (hereinafter referred to as SNS). In addition, these posted texts include many posted texts that post traffic information such as traffic jam information and traffic stop information, weather information, and the like.

  The present invention has been made to solve the above-described problems, and has improved the information accuracy of statistical information by correcting the statistical information based on the content of a posted message posted on a computer network. It is an object to provide a statistical information providing system, a statistical information providing apparatus, a statistical information providing method, and a computer program.

In order to achieve the above object, a statistical information providing system (1) according to claim 1 of the present application includes a statistical information acquisition means (13) for acquiring statistical information in which a situation transition with respect to time in a predetermined area is predicted, and a computer network from among the posted message information specifying the position on are posted associated with reference information identifying the location associated with each posted message was posted within said predetermined area post Corrected by the search means (13) for extracting the corresponding posted sentence that is a sentence, the statistical information correcting means (13) for correcting the statistical information based on the content of the corresponding posted sentence, and the statistical information correcting means Providing means (13) for providing the statistical information.

  Further, the statistical information providing system (1) according to claim 2 is the statistical information providing system according to claim 1, wherein the statistical information correcting means (13) adds the predetermined area to the corresponding posted sentence. When the word indicating the degree of the situation is included, the statistical information is corrected so that the displacement amount of the situation is larger or smaller.

  Further, the statistical information providing system (1) according to claim 3 is the statistical information providing system according to claim 1, wherein the statistical information correcting means (13) includes the predetermined area in the corresponding posted sentence. When the word indicating the change of the situation is included, the statistical information is corrected so that the displacement speed of the situation becomes faster or slower.

  Further, the statistical information providing system (1) according to claim 4 is the statistical information providing system according to claim 2 or 3, wherein the statistical information correcting means (13) includes a plurality of the corresponding posted sentences. A first word indicating that the degree or change of the status of the predetermined area is in the predetermined first status, and a second word indicating that the plurality of corresponding posted sentences are in the predetermined second status; Is included, the ratio of the number of the first word and the second word included in the plurality of corresponding posted sentences is calculated, and the statistical information is corrected based on the calculated ratio. Features.

  Further, the statistical information providing system (1) according to claim 5 is the statistical information providing system according to any one of claims 1 to 4, wherein the statistical information is a transition of a traffic congestion state of a road with respect to time. It is the information which estimated this.

Further, the statistical information providing system (1) according to claim 6 is the statistical information providing system according to any one of claims 1 to 5, wherein the position acquiring means acquires the position of the mobile body (5). (13), the statistical information acquisition means (13) acquires the statistical information in an area including the position of the moving body acquired by the position acquisition means, and the providing means (13) The statistical information is provided to the body.
The “moving body” includes a pedestrian and a two-wheeled vehicle in addition to the vehicle.

  Further, the statistical information providing system (1) according to claim 7 is the statistical information providing system according to any one of claims 1 to 5, wherein the moving body (5) acquires a planned movement route. The statistical information acquisition means (13) acquires the statistical information in the area including the planned movement route acquired by the planned movement path acquisition means, and provides the provision means (13). ) Provides the statistical information to the mobile unit.

Further, the statistical information providing apparatus (2) according to claim 8 specifies a statistical information acquisition means (13) for acquiring statistical information in which a situation transition with respect to time in a predetermined area is predicted, and a position on the computer network. from among the posted message which the information was posted associated with reference information identifying the location associated with each posted message, the a posted message posted in a predetermined area corresponding posted message Search means (13) for extracting the statistical information, statistical information correction means (13) for correcting the statistical information based on the content of the corresponding posted sentence, and the statistical information corrected by the statistical information correction means Providing means (13).

The statistical information providing method according to claim 9, statistical information acquisition means includes Luz step to get the statistical information predicting Trends in relative time in a given area, the search unit, located on a computer network This is a posted sentence posted in the predetermined area with reference to the information identifying the position associated with each posted sentence from posted sentences associated with information specifying and Luz step to extract relevant posted message, statistical information correction means, based on the contents of the corresponding posted message, and Luz step to correct the statistical information, the providing means, corrected by the statistical information correcting means and having a Luz step to provide the statistics.

Furthermore, the computer program according to claim 10 associates the computer with statistical information acquisition means for acquiring statistical information for predicting the transition of the situation with respect to time in a predetermined area, and information for specifying the position on the computer network. retrieval means from among the posted posted message, by referring to the information for specifying the position associated with each posted message, extracting the relevant posted message is posted message posted in a predetermined area Te When, features based on the contents of the corresponding posted message, the statistical information correcting means for correcting the statistical information, and providing means for providing the statistical information the statistical information corrected by the correction means, that is to function And

  In the statistical information providing system according to claim 1 having the above-described configuration, since the statistical information is corrected based on the content of the posted message posted on the computer network, it is possible to improve the information accuracy of the statistical information. In particular, from the posted text posted on the computer network, it is possible to grasp the current situation at a faster timing, so it is possible to quickly correct the statistical information to more appropriate information according to the current situation It becomes possible. Then, by using the corrected statistical information, more accurate information can be provided to the user.

  Further, in the statistical information providing system according to claim 2, when a word indicating the state of the situation of the predetermined area is included in the corresponding posted sentence, the statistical amount is displaced so that the displacement amount of the situation is larger or smaller. Since the information is corrected, the statistical information can be corrected in an appropriate direction according to the current situation.

  Further, in the statistical information providing system according to claim 3, when a word indicating a change in the situation of a predetermined area is included in the corresponding posted sentence, the statistical information is provided so that the displacement speed of the situation is displaced faster or slower. Since the information is corrected, the statistical information can be corrected in an appropriate direction according to the current situation.

  Further, in the statistical information providing system according to claim 4, the first word indicating that there are a plurality of corresponding posted sentences, and the degree or change of the situation of the predetermined area is in the predetermined first situation in the plurality of corresponding posted sentences. And the second word indicating that it is in the predetermined second situation, the statistical information is corrected based on the ratio of the number of the first word and the second word included. Even if there are many sentences and it is difficult to identify the current situation, the statistical information can be corrected in an appropriate direction according to the current situation. In addition, even in the case of postings with irregular contents that are clearly different from the actual situation, it will not be greatly affected by the postings with irregular contents, and will be in an appropriate direction according to the current situation. And statistical information can be corrected.

  Further, in the statistical information providing system according to claim 5, since the statistical information is information that predicts the transition of the traffic jam situation of the road with respect to time, the statistical information that predicts the traffic jam situation transition according to the current traffic jam situation It becomes possible to quickly correct to more appropriate information. Then, by using the corrected statistical information, more accurate traffic jam information can be provided to the user.

  Further, in the statistical information providing system according to claim 6, since the statistical information is corrected for the area including the position of the moving object, the information accuracy of the statistical information is improved particularly in an area highly related to the moving object. Is possible. In addition, the processing load can be reduced as compared with the case where processing is performed for all areas.

  Further, in the statistical information providing system according to claim 7, since the statistical information is corrected for the area including the planned moving path of the mobile object, the information accuracy of the statistical information is improved particularly in an area highly related to the mobile object. It becomes possible to make it. In addition, the processing load can be reduced as compared with the case where processing is performed for all areas.

  Further, in the statistical information providing apparatus according to claim 8, since the statistical information is corrected based on the content of the posted message posted on the computer network, the information accuracy of the statistical information can be improved. In particular, from the posted text posted on the computer network, it is possible to grasp the current situation at a faster timing, so it is possible to quickly correct the statistical information to more appropriate information according to the current situation It becomes possible. Then, by using the corrected statistical information, more accurate information can be provided to the user.

  In the statistical information providing method according to claim 9, since the statistical information is corrected based on the content of the posted message posted on the computer network, it is possible to improve the information accuracy of the statistical information. In particular, from the posted text posted on the computer network, it is possible to grasp the current situation at a faster timing, so it is possible to quickly correct the statistical information to more appropriate information according to the current situation It becomes possible. Then, by using the corrected statistical information, more accurate information can be provided to the user.

  Furthermore, in the computer program according to the tenth aspect, since the statistical information is corrected based on the content of the posted text posted on the computer network, the information accuracy of the statistical information can be improved. In particular, since the current situation can be grasped at a faster timing from the posted text posted on the computer network, it is possible to quickly correct the statistical information to more appropriate information according to the current situation. It becomes possible. Then, by using the corrected statistical information, more accurate information can be provided to the user.

It is the schematic block diagram which showed the statistical information provision system which concerns on this embodiment. It is the block diagram which showed the structure of the statistical information provision system which concerns on this embodiment. It is the figure which showed an example of the contribution text information memorize | stored in contribution text information DB of a contribution text information management center. It is the figure which showed an example of statistical information. It is a block diagram which shows typically the control system of the navigation apparatus which concerns on this embodiment. It is a flowchart of the statistical information provision processing program which concerns on this embodiment. It is the figure which showed the driving guidance screen displayed on a liquid crystal display. It is a figure explaining the production | generation process of the traffic jam prediction information of step 13. FIG. It is a flowchart of the sub process program of the statistical information correction process which concerns on this embodiment. It is the figure which classified the word used in a contribution sentence. It is a figure explaining the correction process (correction | amendment of a vertical axis | shaft direction) of the statistical information of step. It is the figure explaining the correction process (correction of a horizontal axis direction) of the statistical information of step.

  DETAILED DESCRIPTION Hereinafter, a statistical information providing system according to the present invention will be described in detail with reference to the drawings based on an embodiment that is embodied. First, a schematic configuration of the statistical information providing system 1 according to the present embodiment will be described with reference to FIGS. 1 and 2. FIG. 1 is a schematic configuration diagram showing a statistical information providing system 1 according to the present embodiment. FIG. 2 is a block diagram showing a configuration of the statistical information providing system 1 according to the present embodiment.

  As shown in FIG. 1, a statistical information providing system 1 according to the present embodiment includes a statistical information providing center 2 corresponding to a statistical information providing device, a posted text information management center 3, and a mobile terminal mounted on a vehicle 5. The navigation device 6 is basically configured. Instead of the navigation device 6, a communication terminal such as a mobile phone, a PDA, or a smartphone may be used.

  Here, the statistical information providing center 2 acquires traffic jam information (traffic congestion level, traffic jam length, travel time, etc.) via a traffic information center such as a VICS (registered trademark: Vehicle Information and Communication System) center or probe information. This is a center that generates statistical information that predicts the transition of the traffic jam situation with respect to the time of each area (more specifically, for each link). The statistical information providing center 2 also corrects the statistical information generated based on the content of the posted text stored in the posted text information management center 3. Further, when the vehicle 5 requests future traffic jam prediction information, the traffic jam prediction information is generated based on the corresponding statistical information and distributed to the navigation device 6 of the vehicle 5. Details of the statistical information providing center 2 will be described later.

  The posted text information management center 3 manages blogs, SNS (Social Network Service), Twitter (registered trademark), chat, etc. (hereinafter referred to as SNS, etc.), and posted text posted on a computer network in the SNS or the like. The center that stores and provides The posting of the posted text by the user can be performed by a communication terminal such as a PC, a mobile phone, a PDA, or a smartphone. The posted text information management center 3 has a posted text information DB 8 as a storage medium, and posted posted texts are sequentially stored in the posted text information DB 8. The posted text information DB 8 includes the posted text, the posting time when the posted text is posted, the position of the poster when the posted text is posted (hereinafter referred to as the posted position), and the ID of the poster. Etc. are also stored. Here, FIG. 3 is a diagram showing an example of posted texts collected and provided in the posted text information management center 3. As shown in FIG. 3, the posted text includes a posting time, a posting position, a user ID, a text of the posted text, and the like. In the posted message information management center 3, information related to posted messages posted by users from all over the country is cumulatively stored in the posted message information DB 8. When the stored data amount exceeds a predetermined amount, the posted message information management center 3 relates to past posted messages. The information is deleted in order.

  The statistical information providing center 2 and the posted text information management center 3 are connected to the communication network 9 through communication devices, and are configured to be capable of bidirectional communication between a plurality of centers.

  On the other hand, the navigation device 6 is installed in a vehicle 5 traveling on each road in the country, detects the current position and traveling direction of the vehicle 5, displays a map around the vehicle position based on the stored map information, This is an in-vehicle device that searches and guides a route to a destination. The navigation device 6 is connected to the communication network 9 through the communication module 10 and is configured to be capable of bidirectional communication with the statistical information providing center 2. When the traffic jam prediction information based on the statistical information is received from the statistical information providing center 2, the traffic jam information displayed on the navigation device 6 is updated or received based on the received traffic jam prediction information as described later. Based on the traffic jam prediction information, the estimated arrival time at the destination is updated (see FIG. 7). The details of the navigation device 6 will be described later.

  Next, the configuration of the statistical information providing center 2 constituting the statistical information providing system 1 will be described in detail with reference to FIG. As shown in FIG. 2, the statistical information providing center 2 basically includes a server 11, a map information DB 12 and a statistical information DB 13 as information recording means connected to the server 11, and a center communication device 14. .

  The server 11 is an electronic control unit that performs various controls in the statistical information providing center 2 as shown in FIG. Then, the CPU 21 as the arithmetic device and the control device, the RAM 22 used as a working memory when the CPU 21 performs various arithmetic processes, various control programs, a statistical information provision processing program (FIGS. 6 and 9) described later, and the like Are stored in an internal storage device such as a ROM 23. The server 11 constitutes various means as processing algorithms. For example, the statistical information acquisition means acquires statistical information that predicts the transition of the situation with respect to time in a predetermined area. The retrieval means extracts a corresponding posted sentence that is a posted sentence posted in a predetermined area from among posted sentences posted on the computer network. The statistical information correcting unit corrects the statistical information based on the content of the corresponding posted sentence. The providing means provides the statistical information corrected by the statistical information correcting means. The position acquisition means acquires the position of the vehicle 5 (moving body). The planned movement route acquisition unit acquires the planned movement route of the vehicle 5.

  The map information DB 12 is storage means for storing map information. Here, the map information stored in the map information DB 12 stores various information necessary for route search and map display including a road network. For example, link data relating to roads (links), nodes relating to node points, and the like. Data, facility data regarding facilities, intersection data regarding each intersection, search data for searching for a route, search data for searching for a point, map display data for displaying a map, and the like. The map information DB 12 is periodically updated to new map information.

  The statistical information DB 13 is a storage unit that stores statistical information generated based on traffic information acquired through a traffic information center such as a VICS center or probe information. Here, the statistical information stored in the statistical information DB 13 is information that predicts the transition of the traffic jam situation with respect to the time for each area (more specifically, for each link).

For example, FIG. 4 shows statistical information of a predetermined link A as an example of statistical information stored in the statistical information DB 13. As shown in FIG. 4, in the statistical information of link A, the transition of the time required for passing through link A along the passage of time (that is, travel time of link A) is recorded. The horizontal axis indicates the time, and the vertical axis indicates the required time, indicating that the road is congested in the time zone where the graph is located above, and that the road is free in the time zone where the graph is located below. Moreover, it is desirable to store statistical information that differs for each day of the week. The statistical information is regularly updated based on traffic information acquired through a traffic information center such as a VICS center or probe information. Further, the statistical information is temporarily corrected based on the content of the posted text posted on the computer network as will be described later.
When the vehicle 5 requests future traffic jam prediction information as will be described later, the statistical information providing center 2 obtains the traffic jam prediction information based on the corresponding statistical information among the statistical information stored in the statistical information DB 13. Generate and distribute to the navigation device 6 of the vehicle 5.

  The center communication device 14 is a communication device for communicating with the posted text information management center 3 and the navigation device 6 via the communication network 9. In the present embodiment, traffic jam prediction information and information related to posted text are transmitted and received between the posted text information management center 3 and the navigation device 6 via the center communication device 14.

  Next, a schematic configuration of the navigation device 6 mounted on the vehicle 5 will be described with reference to FIG. FIG. 5 is a block diagram schematically showing a control system of the navigation device 6 according to the present embodiment.

  As shown in FIG. 5, the navigation device 6 according to the present embodiment is based on a current position detection unit 31 that detects a current position of a vehicle, a data recording unit 32 that records various data, and input information. The navigation ECU 33 that performs various arithmetic processes, the operation unit 34 that receives operations from the user, and a liquid crystal display that displays various information such as map images and traffic jam prediction information transmitted from the statistical information providing center 2 to the user. 35, a speaker 36 for outputting voice guidance regarding route guidance, a DVD drive 37 for reading a DVD as a storage medium, an information center such as a statistical information providing center 2 and a VICS (registered trademark: Vehicle Information and Communication System) center The communication module 10 is configured to communicate with each other.

Below, each component which comprises the navigation apparatus 6 is demonstrated in order.
The current position detection unit 31 includes a GPS 41, a vehicle speed sensor 42, a steering sensor 43, a gyro sensor 44, and the like, and can detect the current vehicle position, direction, vehicle traveling speed, current time, and the like. . Here, in particular, the vehicle speed sensor 42 is a sensor for detecting a moving distance and a vehicle speed of the vehicle, generates a pulse according to the rotation of the driving wheel of the vehicle, and outputs a pulse signal to the navigation ECU 33. And navigation ECU33 calculates the rotational speed and moving distance of a driving wheel by counting the pulse which generate | occur | produces. Note that the navigation device 6 does not have to include all of the above five types of sensors, and the navigation device 6 may include only one or more of these types of sensors.

  In addition, the data recording unit 32 reads out an external storage device and a hard disk (not shown) as a recording medium, a map information DB 45, a traffic jam prediction information DB 46, a predetermined program, and the like recorded on the hard disk and stores predetermined data on the hard disk. And a recording head (not shown) which is a driver for writing. The data recording unit 32 may be configured by a memory card, an optical disk such as a CD or a DVD, instead of the hard disk.

  Here, the map information DB 45 includes, for example, link data relating to roads (links), node data relating to node points, route data relating to railway routes, facility data relating to facilities, map display data for displaying maps, and intersections relating to intersections. The storage means stores data, search data for searching for a route, search data for searching for a point, and the like.

  The traffic jam prediction information DB 46 is a storage unit that stores traffic jam prediction information received from the statistical information providing center 2. Here, the traffic jam prediction information is information that predicts the transition of the traffic jam status with respect to the time of each area (more specifically, for each link) as described later. Then, the navigation device 6 guides the traffic jam information of the roads around the vehicle based on the traffic jam prediction information stored in the traffic jam prediction information DB 46, or arrives at the destination currently set by the navigation device 6. Calculate the time.

  On the other hand, the navigation ECU (Electronic Control Unit) 33 is an electronic control unit that controls the entire navigation device 6. The CPU 51 as an arithmetic device and a control device, and a working memory when the CPU 51 performs various arithmetic processes. As well as a RAM 52 for storing route data when a route is searched, a control program, a ROM 53 in which a statistical information provision processing program (FIG. 6) is recorded, and a program read from the ROM 53 An internal storage device such as a flash memory 54 is stored.

  The operation unit 34 is operated when inputting a departure point as a travel start point and a destination point as a travel end point, and includes a plurality of operation switches (not shown) such as various keys and buttons. Then, the navigation ECU 33 performs control to execute various corresponding operations based on switch signals output by pressing the switches. The operation unit 34 can also be configured by a touch panel provided on the front surface of the liquid crystal display 35. Moreover, it can also be comprised with a microphone and a speech recognition apparatus.

  Further, the liquid crystal display 35 includes a map image including a road, traffic information, operation guidance, operation menu, key guidance, a planned travel route from the departure point to the destination, guidance information along the planned travel route, news, weather, and the like. Forecast, time, mail, TV program, etc. are displayed. In particular, in the present embodiment, traffic congestion information on roads around the vehicle is also displayed. Here, the displayed traffic jam information includes a traffic jam degree indicating a degree of traffic jam, a traffic jam section, and the like. Further, the degree of traffic jam is information indicating the level of traffic jam, and there are “traffic jam”, “crowded”, and “vacant” from the higher traffic jam level.

  Further, the speaker 36 outputs voice guidance for guiding traveling along the planned traveling route and traffic information guidance based on an instruction from the navigation ECU 33.

  The DVD drive 37 is a drive that can read data recorded on a recording medium such as a DVD or a CD. Based on the read data, music and video are reproduced, the map information DB 45 is updated, and the like.

  The communication module 10 is a communication device for receiving traffic information including information such as traffic jam information, regulation information, and traffic accident information transmitted from a traffic information center, for example, a VICS center or a probe center. For example, a mobile phone or DCM is applicable. It is also used for transmitting vehicle information to / from the statistical information providing center 2 and receiving traffic jam prediction information.

  Next, a statistical information provision processing program executed in the navigation apparatus 6 and the statistical information provision center 2 constituting the statistical information provision system 1 having the above configuration will be described with reference to FIG. FIG. 6 is a flowchart of the statistical information provision processing program according to this embodiment. Here, the statistical information provision processing program is executed after the ACC of the vehicle is turned on, and when the vehicle 5 requests the traffic jam prediction information, the statistical information is corrected based on the posted message posted on the computer network, It is a program for providing the vehicle 5 with traffic jam prediction information generated based on the corrected statistical information. The programs shown in the flowcharts of FIGS. 6 and 9 below are stored in a RAM, a ROM, or the like provided in the statistical information providing center 2 or the navigation device 6 and executed by the CPU 21 or the CPU 51.

First, a statistical information provision processing program executed in the navigation device 6 will be described.
In step (hereinafter abbreviated as S) 1, the CPU 51 acquires vehicle information related to the vehicle 5 on which the navigation device 6 is installed. Here, the vehicle information acquired in S1 includes a planned travel route of the vehicle, a moving direction of the vehicle, a current position of the vehicle, and the like. Here, the planned travel route of the vehicle corresponds to the guide route when the guide route is set in the navigation device 6. Further, the moving direction and the current position of the vehicle are acquired based on the detection result of the current position detection unit 31.

  Next, in S2, the CPU 51 determines whether or not a request for traffic jam prediction information has been made. Specifically, the traffic jam prediction information is requested when a destination is newly set in the navigation device 6 or when a predetermined time has elapsed since the ACC was turned on.

  And when it determines with the request | requirement of traffic congestion prediction information having been performed (S2: YES), it transfers to S3. On the other hand, when it is determined that the traffic jam prediction information is not requested (S2: NO), the statistical information provision processing program is terminated.

  In S3, the CPU 51 identifies an area (hereinafter referred to as an information request area) that is a target for requesting traffic jam prediction information based on the vehicle information acquired in S1. Specifically, when the planned travel route of the vehicle can be acquired in S1, an area within a predetermined distance (for example, within 200 m) from the planned travel route becomes the information request area. On the other hand, when the planned travel route of the vehicle cannot be acquired in S1, an area within a predetermined distance (for example, within 10 km) from the current position of the vehicle becomes the information request area.

  Subsequently, in S4, the CPU 51 transmits the information request area specified in S3 to the statistical information providing center 2. The statistical information providing center 2 that has received the information request area corrects the statistical information based on the content of the posted message posted on the computer network as described later, and the information request area based on the corrected statistical information. The traffic jam prediction information for predicting the future traffic jam status is generated (S12, S13).

  Next, in S5, the CPU 51 receives the traffic jam prediction information transmitted from the statistical information providing center 2. The traffic jam prediction information received in S5 is information obtained by predicting the transition of the traffic jam status with respect to the future time in the information request area transmitted in S4 with reference to the posted text.

  Thereafter, in S6, the CPU 51 performs guidance based on the traffic jam prediction information received in S5. Specifically, the traffic jam information displayed on the liquid crystal display 35 is updated based on the traffic jam prediction information, or the estimated arrival time at the destination is updated based on the received traffic jam prediction information.

Here, FIG. 7 shows the travel guidance screen 61 displayed on the liquid crystal display 35 before receiving the traffic jam prediction information in S5, and the travel guide displayed on the liquid crystal display 35 after receiving the traffic jam prediction information in S5. It is the figure which showed the screen 61. FIG.
The travel guidance screen 61 includes a map image 62 around the vehicle and a scheduled arrival time display unit 63 that indicates a scheduled arrival time at which the vehicle arrives at the destination. Further, the map image 62 includes an own vehicle position mark indicating the current position of the vehicle, a departure point mark indicating a point set as a departure point, a destination mark indicating a point set as a destination, a guidance route, and traffic jam information. A traffic congestion mark 64 or the like indicating is displayed. The traffic congestion mark 64 is a mark that specifies the traffic congestion degree of each road section predicted by the statistical information as “congested”, “congested”, or “vacant”. Specifically, the arrow color of the traffic jam mark 64 indicates the traffic jam degree, and the length of the arrow indicates the traffic jam length. For example, the traffic congestion mark 64 indicating that the traffic congestion level is “congestion” is displayed in red, the traffic congestion mark 64 indicating that the traffic congestion level is “congested” is displayed in orange, and the traffic congestion level is “empty”. The traffic congestion mark 64 indicating that the color is displayed in green.

Then, when the travel guidance screen 61 shown in the upper diagram of FIG. 7 is displayed on the liquid crystal display 35, traffic congestion prediction information predicted based on the posted text is newly received from the statistical information providing center 2. When the received traffic jam prediction information is information that is predicted to be jammed in the future for the link 65 and the link 66, the traffic jam degree of the link 65 and the link 66 is updated from “vacant” to “traffic jam”, respectively. . Furthermore, since the traffic congestion links have increased on the vehicle guidance route, the estimated arrival time is updated from 16:30 to 16:45. As a result, the user can obtain more accurate traffic jam information updated based on the traffic jam prediction information and the estimated arrival time at the destination.
For the traffic jam mark 64 after receiving the traffic jam prediction information, only the updated information may be displayed, or the information before the update and the information after the update are alternately displayed at a predetermined interval. May be. In addition, the display form of the traffic jam mark 64 may be changed before and after the update (for example, a solid line before the update and a broken line after the update).

Next, a statistical information provision processing program executed in the statistical information provision center 2 will be described.
First, in S11, the CPU 21 receives the information request area transmitted from the vehicle 5 that requests the traffic jam prediction information.

  Next, in S12, the CPU 21 executes a statistical information correction process (FIG. 9) described later. Here, the statistical information correction process is a process for correcting the statistical information in the information request area to more appropriate information according to the current traffic jam situation based on the content of the posted text stored in the posted text information management center 3. It is.

  Subsequently, in S13, the CPU 21 generates traffic jam prediction information that predicts a future traffic jam situation in the information request area using the traffic jam situation in the information request area up to now and the statistical information corrected in S13. Specifically, the traffic jam prediction information is generated by predicting that the traffic jam status will change in the same transition form as the statistical information from the current traffic jam status.

  Hereinafter, the generation process of traffic jam prediction information in S13 will be described in more detail with reference to FIG. For example, as shown in FIG. 8, when the statistical information (solid line part) and the actual measured value of the traffic situation up to the present (dashed line part) can be acquired, the statistical information continues to the current traffic situation (dashed line part). It is predicted that the future traffic situation will change in the same transition form as the (solid line part). As a result, the graph shape of the broken line portion shown in FIG. 8 is generated as the traffic jam prediction information. Note that when the statistical information is generated for each link and the information request area includes a plurality of links, the traffic jam prediction information is generated for each of the plurality of links.

  Thereafter, in S14, the CPU 21 transmits the traffic jam prediction information generated in S13 to the vehicle 5 that has requested the traffic jam prediction information. As a result, in the navigation device 6 of the vehicle 5 that has requested the traffic congestion prediction information, guidance based on the traffic congestion prediction information (congestion information on roads around the vehicle and guidance on the estimated arrival time at the destination) is performed (S6).

  Next, the sub-process of the statistical information correction process executed in S12 will be described with reference to FIG. FIG. 9 is a flowchart of a sub-processing program for statistical information correction processing.

  First, in S21, based on the information request area received in S11, the CPU 21 extracts a posted message (corresponding posted message) posted in the information request area from posted messages posted on the computer network. . Specifically, from the posted text information (FIG. 3) stored in the posted text information DB 8 of the posted text information management center 3, information on the corresponding posted text whose posting position is in the information request area (posted text) , Posting time, posting position, poster ID, etc.).

  The subsequent processes of S22 to S33 are performed for each corresponding posted sentence extracted in S21. Specifically, the processing of S22 to S33 is sequentially executed in order of the posting date for each corresponding posted sentence, and the process proceeds to S34 after the processing of S22 to S33 is executed for all the corresponding posted sentences.

  In S22, the CPU 21 performs morphological analysis on the sentence of the corresponding posted sentence to be processed. Specifically, the sentence of the corresponding posted sentence to be processed is divided into words (morphemes), and each part of speech is determined. Further, for each word, one of the “word indicating emotional expression”, the “word indicating the degree of traffic jam”, the “word indicating the change in the traffic jam”, and the “word indicating the cause of the traffic jam” shown in FIG. It is also determined whether it is applicable.

  Next, in S23, the CPU 21 analyzes the modification relationship of each word divided in 22 above. In particular, the modification relationship of words corresponding to “words indicating emotional expression”, “words indicating the degree of traffic jam”, “words indicating change in traffic jam status”, and “words indicating the factor of traffic jam” is specified.

  Subsequently, in S24, the CPU 21 determines whether or not the corresponding posted text to be processed is a posted text indicating the degree of the traffic jam based on the analysis results in S22 and S23. Specifically, “word indicating the degree of traffic congestion”, “word indicating the cause of traffic congestion” and “word indicating emotional expression” are included, and “word indicating emotional expression” is “congestion status” When one or both of “word indicating degree of traffic” and “word indicating cause of traffic jam” are modified, it is determined that the corresponding posted text to be processed is a posted text indicating the level of traffic jam status.

  Then, when it is determined that the corresponding posted text to be processed is a posted text indicating the degree of the traffic jam situation (S24: YES), the process proceeds to S25. On the other hand, when it is determined that the corresponding posted text to be processed is not a posted text indicating the degree of the traffic jam situation (S24: NO), the process proceeds to S29.

  In S <b> 25, the CPU 21 determines whether or not the corresponding posted text to be processed is a posting with negative content (that is, content that is very crowded). Specifically, a word in which at least one of “word indicating the degree of traffic jam” and “word indicating emotional expression” included in the corresponding posted sentence is classified as negative in FIG. 10 (negative situation (first situation)) If it is a word (first word) indicating that there is a word, it is determined that the corresponding posted sentence to be processed is a posting with a negative content. In the case where one is a word classified as negative and the other is a word classified as positive, priority is given to the classification of “word indicating the degree of traffic congestion”.

  If it is determined that the post to be processed is a post with a negative content (S25: YES), the process proceeds to S26. On the other hand, when it is determined that the corresponding posted text to be processed is not a negative content posting (S25: NO), the process proceeds to S27.

  In S <b> 26, the CPU 21 adds +1 to the count value T <b> 1 indicating the degree of negativeness of the degree of traffic jam. The count value T1 is stored in the RAM 22 or the like.

  On the other hand, in S <b> 27, the CPU 21 determines whether or not the corresponding post to be processed is a post with a positive content (i.e., a content with a good degree of traffic jam and a moderate traffic jam). Specifically, a word (positive situation (second situation)) in which at least one of “word indicating the degree of traffic jam” and “word indicating emotional expression” included in the corresponding posted sentence is classified as positive in FIG. If it is a word (second word) indicating that there is, the corresponding posted sentence to be processed is determined to be a post with a positive content. In the case where one is a word classified as negative and the other is a word classified as positive, priority is given to the classification of “word indicating the degree of traffic congestion”.

  If it is determined that the post to be processed is a post with a positive content (S27: YES), the process proceeds to S28. On the other hand, when it is determined that the corresponding posted text to be processed is not a post with a positive content (S27: NO), the corresponding posted text to be processed is changed, and the processing after S22 is executed again. .

  In S <b> 28, the CPU 21 adds +1 to the count value T <b> 2 indicating the degree of positiveness of the degree of traffic jam. The count value T2 is stored in the RAM 22 or the like.

  On the other hand, in S29, based on the analysis results in S22 and S23, the CPU 21 determines whether or not the corresponding posted text to be processed is a posted text indicating a change in the traffic jam situation. Specifically, “words indicating changes in traffic conditions”, “words indicating factors of traffic congestion”, and “words indicating emotional expressions” are included, and “words indicating emotional expressions” are “congestion conditions” When one or both of “word indicating change” and “word indicating cause of traffic jam” are modified, it is determined that the corresponding posted text to be processed is a posted text indicating the degree of traffic jam status.

  Then, when it is determined that the corresponding posted text to be processed is a posted text indicating a change in the traffic jam situation (S29: YES), the process proceeds to S30. On the other hand, if it is determined that the corresponding posted text to be processed is not a posted text indicating a change in the traffic jam situation (S29: NO), the corresponding posted text to be processed is changed, and the processing after S22 is performed. Run again.

  In S <b> 30, the CPU 21 determines whether or not the corresponding posted text to be processed is a posting with negative content (that is, content with a deteriorated traffic condition or currently maintained). Specifically, a word (negative situation (first situation)) in which at least one of “word indicating change in traffic jam” and “word indicating emotional expression” included in the corresponding posted sentence is classified as negative in FIG. If it is a word (first word) indicating that there is a word, it is determined that the corresponding posted sentence to be processed is a posting with a negative content. In the case where one is a word classified as negative and the other is a word classified as positive, the classification of “word indicating a change in traffic congestion” is given priority.

  If it is determined that the post to be processed is a post with a negative content (S30: YES), the process proceeds to S31. On the other hand, when it is determined that the corresponding posted text to be processed is not a negative content posting (S30: NO), the process proceeds to S32.

  In S <b> 31, the CPU 21 adds +1 to the count value T <b> 3 indicating the negative degree of the change in the traffic jam situation. The count value T3 is stored in the RAM 22 or the like.

  On the other hand, in S <b> 32, the CPU 21 determines whether or not the corresponding posted text to be processed has a positive content (that is, content that gradually improves the traffic jam situation). Specifically, a word (positive situation (second situation)) in which at least one of “word indicating change in traffic jam status” and “word indicating emotional expression” included in the corresponding posted sentence is classified as positive in FIG. If it is a word (second word) indicating that there is, the corresponding posted sentence to be processed is determined to be a post with a positive content. In the case where one is a word classified as negative and the other is a word classified as positive, the classification of “word indicating a change in traffic congestion” is given priority.

  And when it determines with the applicable contribution text used as a process target being a contribution of a positive content (S32: YES), it transfers to S33. On the other hand, when it is determined that the corresponding posted sentence to be processed is not a post with a positive content (S32: NO), the corresponding posted sentence to be processed is changed, and the processes after S22 are executed again. .

  In S <b> 33, the CPU 21 adds +1 to the count value T <b> 4 indicating the positive degree of change in the traffic jam situation. The count value T4 is stored in the RAM 22 or the like.

  And after the process of S22-S33 is performed with respect to all the applicable contribution text extracted by said S21, it transfers to S34.

  In S34, the CPU 21 reads out the statistical information of the information request area from the statistical information DB 13, and based on the ratio of the negative degree T1 and the positive degree T2 of the degree of traffic jam (that is, the ratio of the number of first words to the second word). Thus, the vertical direction of the statistical information (that is, the amount of displacement in the traffic jam situation) is corrected. Further, based on the ratio between the negative degree T3 and the positive degree T4 of the change in the traffic situation (ie, the ratio of the number of the first word and the second word), the horizontal direction of the statistical information (ie, the displacement speed of the traffic situation) ) Is corrected.

Hereinafter, the statistical information correction processing in S34 will be described in more detail with reference to FIGS. The example of statistical information to be corrected in FIGS. 11 and 12 is statistical information of a link that is currently in a traffic jam state and is predicted to be gradually resolved after a traffic jam for a while in the future.
First, the correction of the statistical information in the vertical direction of the statistical information (that is, the amount of displacement of the traffic jam situation) will be described. The ratio of the negative count value T1 to the positive count value T2 of the degree of the traffic jam situation The statistical information is corrected so that the higher the is, the larger the displacement amount in the traffic jam situation will be in the future. As a result, the traffic jam prediction information generated based on the corrected statistical information is information predicted that the degree of traffic jam will be greatly deteriorated in the future. On the other hand, as the ratio of the positive count value T2 to the negative count value T1 of the degree of traffic congestion is higher, the statistical information is corrected so that the displacement amount of the traffic congestion will be smaller in the future. As a result, the traffic jam prediction information generated based on the corrected statistical information is information predicted that the level of traffic jam will not deteriorate much in the future.
Next, correction of the statistical information in the horizontal axis direction (that is, the displacement speed of the traffic jam situation) will be described with reference to FIG. 12. The negative count value T3 is changed with respect to the positive count value T4 of the traffic jam situation change. The higher the ratio, the more the statistical information is corrected so that the displacement speed of the traffic jam situation will be displaced more slowly in the future. As a result, the traffic jam prediction information generated based on the corrected statistical information is information predicted to increase the time until the degree of the traffic jam is improved (that is, the traffic jam state continues for a long time). On the other hand, the higher the ratio of the positive count value T4 to the negative count value T3 of the change in the traffic situation, the more the statistical information is corrected so that the displacement speed of the traffic situation will be displaced faster to a better situation in the future. . As a result, the traffic jam prediction information generated based on the corrected statistical information is information that is predicted to shorten the time until the degree of the traffic jam is improved (that is, the traffic jam is resolved quickly).
When statistical information is generated for each link and the information request area includes a plurality of links, the statistical information is corrected for each of the plurality of links.

  Thereafter, the CPU 21 generates traffic jam prediction information based on the statistical information corrected in S13 (S13). As a result, it is possible to generate more accurate traffic jam prediction information in consideration of the current traffic jam situation.

As described in detail above, the statistical information providing system 1 according to the present embodiment, the statistical information providing method by the statistical information providing system 1 and the computer program executed in the statistical information providing system 1 can cause congestion in the information request area from the vehicle 5. When there is a request for prediction information, the corresponding posted text posted in the information request area is extracted from the posted text posted on the computer network (S21), and the information request is made based on the content of the corresponding posted text. The statistical information of the area is corrected (S34), the traffic jam prediction information is generated based on the corrected statistical information (S13), and the generated traffic jam prediction information is provided (S14), so the information accuracy of the statistical information is improved. It becomes possible to make it. In particular, it is possible to grasp the current traffic jam situation at a faster timing from the posted text posted on the computer network, so the statistical information is quickly corrected to more appropriate information according to the current traffic jam situation. It becomes possible. Then, by using the corrected statistical information, more accurate traffic jam information can be provided to the user.
In addition, if the posted text contains a word indicating the degree of traffic congestion in a given area, the statistical information will be corrected so that the amount of displacement in the traffic congestion will be larger or smaller. It is possible to correct the statistical information in an appropriate direction according to the situation.
In addition, if the posted text contains a word indicating a change in the traffic condition of a given area, the statistical information is corrected so that the displacement speed of the traffic condition is faster or slower. It is possible to correct the statistical information in an appropriate direction according to the situation.
A first word indicating that there are a plurality of corresponding posted sentences, and the degree or change of a traffic jam situation in a predetermined area is in a predetermined first situation (that is, a negative situation) in the plurality of corresponding posted sentences; Statistical information is corrected based on the ratio of the number of the first word and the second word included when the second word indicating that it is in the second situation (that is, the positive situation) is included. Therefore, even when there are many corresponding postings and it is difficult to specify the current traffic jam situation, it is possible to correct the statistical information in an appropriate direction according to the current traffic jam situation. In addition, even if there is a post with irregular content that is clearly different from the actual traffic situation, it will not be greatly affected by the post with irregular content, and it will be appropriate for the current traffic situation. Statistical information can be corrected in the direction.
In addition, since the statistical information is corrected for an area including the current position of the vehicle and the planned travel route, it is possible to improve the information accuracy of the statistical information particularly in an area highly relevant to the vehicle. In addition, the processing load can be reduced as compared with the case where processing is performed for all areas.

Note that the present invention is not limited to the above-described embodiment, and various improvements and modifications can be made without departing from the scope of the present invention.
For example, in the present embodiment, the statistical information providing center 2 executes the processing of S11 to S14 of the posted text search processing program (FIG. 6), but the posted text information management center 3 and the navigation device 6 are partly or entirely. It is good also as a structure which performs the process of. For example, if the posted text information management center 3 is configured to execute the processes of S11 to S14, the statistical information providing center 2 becomes unnecessary. Further, instead of the navigation device 6, a communication terminal such as a mobile phone, a PDA, or a smartphone may be used.

  In the present embodiment, the statistical information providing center 2 generates the statistical information. However, the statistical information is generated in another center, and the statistical information providing center 2 acquires the statistical information from the other center. good.

  In the present embodiment, the statistical information providing center 2 generates the traffic jam prediction information based on the statistical information. However, the navigation device 6 may generate the traffic jam prediction information. In this case, the corrected statistical information is transmitted from the statistical information providing center 2 to the navigation device 6 of the vehicle 5 that requested the traffic jam prediction information.

  Further, in the present embodiment, the statistical information is information that predicts the transition of the traffic congestion state of the road with respect to the time, but may be information that predicts the transition of another situation (for example, weather) with respect to the time. In that case, the navigation device 6 will guide the prediction result of another situation (for example, weather).

  Further, in the present embodiment, “a word indicating the degree of traffic jam”, “a word indicating the factor of traffic jam”, and “a word indicating emotional expression” are included, and “a word indicating emotional expression” is “ When there is a relationship that modifies one or both of “word indicating the degree of traffic jam” and “word indicating the factor of traffic jam”, it is determined that the corresponding posted text to be processed is a posted text indicating the level of the traffic jam status. (S24) includes one or both of “word indicating the degree of traffic jam” and “word indicating the factor of traffic jam”, and the corresponding posted text to be processed indicates the level of the traffic jam status You may determine that it is a sentence.

  Further, in the present embodiment, “a word indicating a change in the traffic jam”, “a word indicating the factor of the traffic jam”, and “a word indicating the emotional expression” are included, and the “word indicating the emotional expression” is “ When there is a relationship that modifies one or both of “word indicating change in traffic jam” and “word indicating traffic jam”, it is determined that the corresponding posted message to be processed is a posted message indicating a change in traffic jam status. If (S29) includes one or both of “a word indicating a change in the traffic jam” and “a word indicating the factor of the traffic jam”, the corresponding posted sentence to be processed indicates a change in the traffic jam status. You may determine that it is a sentence.

  In the present embodiment, the posted text information management center 3 stores the post text as information about the posted text, the posting time when the posted text was posted, the posting position, the poster ID, and the like. However, it may be configured to store only the text of the posted text and the posting position.

DESCRIPTION OF SYMBOLS 1 Statistical information provision system 2 Statistical information provision center 3 Posting sentence information management center 5 Vehicle 6 Navigation apparatus

Claims (10)

Statistical information acquisition means for acquiring statistical information predicting the transition of the situation with respect to time in a predetermined area;
Posted in the predetermined area by referring to the information specifying the position associated with each posted sentence from the posted sentences associated with the information specifying the position on the computer network. Search means for extracting the corresponding posted text,
Statistical information correction means for correcting the statistical information based on the content of the corresponding posted sentence;
And providing means for providing the statistical information corrected by the statistical information correcting means.   The statistical information correction means corrects the statistical information so that the amount of displacement of the situation is displaced larger or smaller when the word indicating the degree of the situation of the predetermined area is included in the corresponding posted sentence. The statistical information providing system according to claim 1, wherein:   The statistical information correcting unit corrects the statistical information so that the displacement speed of the situation becomes faster or slower when the post indicating the change in the situation of the predetermined area is included in the corresponding posted sentence. The statistical information providing system according to claim 1. The statistical information correction means includes
There are a plurality of the corresponding posted sentences, and the plurality of corresponding posted sentences are in a predetermined second situation and a first word indicating that the degree or change of the situation of the predetermined area is in a predetermined first situation. A second word indicating the number of the first word and the second word included in the plurality of corresponding posted sentences,
The statistical information providing system according to claim 2, wherein the statistical information is corrected based on the calculated ratio.   5. The statistical information providing system according to claim 1, wherein the statistical information is information obtained by predicting a transition of a traffic jam situation on a road with respect to time. Having position acquisition means for acquiring the position of the moving body;
The statistical information acquisition means acquires the statistical information in an area including the position of the moving body acquired by the position acquisition means,
The statistical information providing system according to claim 1, wherein the providing unit provides the statistical information to the mobile body. Having a planned movement path acquisition means for acquiring a planned movement path of the moving object;
The statistical information acquisition unit acquires the statistical information in an area including the planned movement route acquired by the planned movement route acquisition unit,
The statistical information providing system according to claim 1, wherein the providing unit provides the statistical information to the mobile body. Statistical information acquisition means for acquiring statistical information predicting the transition of the situation with respect to time in a predetermined area;
Posted in the predetermined area by referring to the information specifying the position associated with each posted sentence from the posted sentences associated with the information specifying the position on the computer network. Search means for extracting the corresponding posted text,
Statistical information correction means for correcting the statistical information based on the content of the corresponding posted sentence;
And providing means for providing the statistical information corrected by the statistical information correcting means. Statistical information acquisition means, and away step to obtain statistical information that predicts the transition of the situation with respect to time in a given area,
The search unit refers to the information specifying the position associated with each posted sentence from the posted sentences associated with the information specifying the position on the computer network, and the predetermined area and Luz step to extract relevant posted message is posted message posted by the inner,
Statistics correction means, based on the contents of the corresponding posted message, and Luz step to correct the statistical information,
Providing means, statistical information providing method characterized in that it comprises a and Luz step provides the statistical information corrected by the statistical information correction means. The computer,
Statistical information acquisition means for acquiring statistical information predicting the transition of the situation with respect to time in a predetermined area;
Posted in the predetermined area by referring to the information specifying the position associated with each posted sentence from the posted sentences associated with the information specifying the position on the computer network. Search means for extracting the corresponding posted text,
Statistical information correction means for correcting the statistical information based on the content of the corresponding posted sentence;
Providing means for providing the statistical information corrected by the statistical information correcting means ;
Computer program to make it function .

Images