JP6923348B2 - Information processing equipment, information processing methods and programs - Google Patents

Description

The present invention relates to an information processing device, an information processing method, and a program that perform information processing related to a facility.

Conventionally, there has been known an information processing technique for obtaining various information about a specific object and selecting the information according to an application. For example, Patent Document 1 discloses an information retrieval device including a search parallelizing device that searches one or more databases in parallel based on user input.

Japanese Patent No. 2940494

By the way, in recent years, it has become common for vehicles such as automobiles to be equipped with a navigation device that guides the movement of the vehicle to a destination. Further, as an application for a mobile terminal such as a smartphone, a navigation program for guiding the movement of a pedestrian to a destination is known. As a result, the user (for example, the driver of the vehicle or the user of the smartphone) can grasp the movement route and the required time to the specific facility by designating the specific facility as the destination.

Here, in the facility designated by the user as the destination, it is conceivable that the situation changes every hour, for example, the degree of congestion. Therefore, for example, considering spending a meaningful time at the facility, it is preferable that the user can grasp the situation of the facility.

The present invention has been made in view of the above points, and it is an object of the present invention to provide an information processing device, an information processing method, and a program capable of performing various information processing and showing meaningful information regarding a facility situation. It is one.

The invention according to claim 1 includes a facility information acquisition unit that acquires facility information related to one facility, an arrival time calculation unit that calculates an estimated arrival time of a moving object to one facility, and an estimated arrival time and facility information. Based on the above, it is characterized by including a facility status information generation unit that generates facility status information indicating the status of one facility.

Further, the invention according to claim 7 is based on a step of acquiring facility information regarding one facility, a step of calculating an estimated arrival time of a moving object to one facility, an estimated arrival time and facility information. It is characterized by including a step of generating facility status information indicating the status of one facility.

Further, the invention according to claim 8 uses a computer as a facility information acquisition unit for acquiring facility information related to one facility, an arrival time calculation unit for calculating an estimated arrival time of a moving object to one facility, and an arrival. It is characterized by functioning as a facility status information generation unit that generates facility status information indicating the status of one facility based on the estimated time and facility information.

(A) is a block diagram of the information processing apparatus according to the first embodiment. It is a block diagram of the facility information acquisition part of the information processing apparatus which concerns on Example 1. FIG. It is a block diagram of the facility situation information generation part of the information processing apparatus which concerns on Example 1. FIG. It is a figure which shows typically the example of the information acquired by the facility information acquisition part of the information processing apparatus which concerns on Example 1. FIG. It is a figure which shows typically the example of the information acquired by the facility information acquisition part of the information processing apparatus which concerns on Example 1. FIG. It is a figure which shows typically the example of the information acquired and generated by the information processing apparatus which concerns on Example 1. FIG. It is a block diagram of the stay recommendation degree evaluation part of the information processing apparatus which concerns on Example 1. FIG. It is a figure which shows typically the table which shows the evaluation point of the stay satisfaction degree given by the information processing apparatus which concerns on Example 1. FIG. It is a figure which shows typically the example of the recommended information generated by the information processing apparatus which concerns on Example 1. FIG. It is a figure which shows the operation flow by the information processing apparatus which concerns on Example 1. FIG. It is a block diagram of the information processing system which concerns on Example 2. FIG.

Examples of the present invention will be described in detail below.

FIG. 1 is a block diagram of the information processing apparatus 10 according to the first embodiment. In this embodiment, the information processing apparatus 10 is configured to be accessible to an external database (external database) 20. For example, the information processing device 10 has a communication function for accessing an external information source including the database 20. The information processing device 10 acquires information from the database 20 and processes various information while referring to the information stored inside the information processing device 10.

In this embodiment, the information processing device 10 functions as a navigation device that guides the movement of a moving body (not shown). For example, a moving body is a vehicle such as a car, a motorcycle, or a bicycle. In this case, the information processing device 10 is a car navigation system mounted on the vehicle and providing travel guidance to the destination of the vehicle. Further, for example, the moving body may be a pedestrian. In this case, the information processing device 10 is a smartphone carried by the pedestrian and installed with an application that guides the pedestrian to walk to the destination.

The information processing device 10 has a facility information acquisition unit 11 that acquires at least one piece of information (facility information) regarding a facility (target facility, one facility) that is the target of information processing. In this embodiment, the facility information acquisition unit 11 sets the facility corresponding to the destination to which the user (for example, the passenger of the vehicle or the user of the smartphone) is going to move as the acquisition target facility, and acquires the information about the target facility. do. The facility information acquisition unit 11 may acquire facility information regarding each of the plurality of target facilities.

In this embodiment, the information processing apparatus 10 has an input operation receiving unit (not shown) that receives an input operation for designating (selecting) the target facility from the user. For example, the input operation receiving unit is a touch panel type display, a button, a microphone, or the like.

The information processing device 10 has a route search unit 12 that searches for a movement route of a moving body to a target facility. In this embodiment, the information processing device 10 has a position information acquisition unit (not shown) that acquires information (current location information) indicating the current location of the moving body. For example, the position information acquisition unit has a GPS (Global Positioning System) receiver and calculates latitude and longitude indicating the position of a moving body. The route search unit 12 searches for a movement route from the current location of the moving body obtained from the position information acquisition unit to the target facility according to a predetermined condition.

The information processing device 10 has an arrival time calculation unit 13 that calculates an estimated arrival time of the moving body to the target facility. In this embodiment, the arrival time calculation unit 13 calculates the time required to reach the target facility when the moving body moves at a predetermined speed according to the movement route searched by the route search unit 12. Then, the arrival time calculation unit 13 calculates the time when the moving body is expected to arrive at the target facility based on the current time and the required time.

For example, the arrival time calculation unit 13 calculates the time required to reach the target facility when moving along the movement route after acquiring information on the movement route from the route search unit 12. Then, the arrival time calculation unit 13 determines the departure time (for example, the time when the route information is acquired from the route search unit 12 or the time specified by the user), and calculates the estimated arrival time based on the time required to reach the target facility. do.

The information processing device 10 sets a predetermined time as the target time based on the estimated arrival time calculated by the arrival time calculation unit 13, and based on the facility information acquired by the facility information acquisition unit 11, the target time or later is set. It has a facility status information generation unit 14 that generates facility status information indicating the status of the target facility. The facility status information generation unit 14 generates, for example, information indicating the status of the target facility predicted between the time when the moving body arrives at the target facility and the time after which the predetermined time elapses.

The target time set by the facility status information generation unit 14 may be determined based on the estimated arrival time and the travel time in the facility after arrival (for example, the time required from arrival at the parking lot to the entrance). can. For example, the target time may be an estimated arrival time or a time after a predetermined time has elapsed from the estimated arrival time.

The information processing device 10 is recommended to stay at the target facility on condition that the information processing device 10 stays at the target facility from the target time based on the facility status information generated by the facility status information generation unit 14. It has a stay recommendation degree evaluation unit 15 for evaluating a stay recommendation degree. For example, the stay recommendation degree evaluation unit 15 evaluates the expected satisfaction level when arriving at the target facility at the expected arrival time and staying at the target facility for a predetermined time from the target time. In addition, the stay recommendation level evaluation unit 15 determines the stay recommendation level at the target facility based on the expected satisfaction level.

The information processing device 10 has a presentation unit 16 that presents the facility status information generated by the facility status information generation unit 14. The presentation unit 16 presents the facility status information to the user by displaying or outputting voice. For example, the presentation unit 16 generates display data for displaying facility status information on the display. In addition to the facility status information, the presentation unit 16 may present the stay recommendation level of the target facility evaluated by the stay recommendation level evaluation unit 15.

The information processing device 10 has a navigation function unit 17 that guides the movement of the moving body to the target facility. For example, the navigation function unit 17 performs a process of guiding the movement of the moving body along the route to the target facility searched by the route search unit 12.

Further, the information processing device 10 has facility information about a plurality of facilities including the target facility in the information processing device 10 as a database (internal database) 18. The facility information acquisition unit 11 acquires the facility information of the target facility from the database 18 as facility data (internal facility data) DT1. Further, in this embodiment, the facility information acquisition unit 11 acquires facility data (external facility data) DT2 from the database 20.

FIG. 2A is a block diagram of the facility information acquisition unit 11. The facility information acquisition unit 11 has a data search unit 11A that searches the database in order to acquire facility information (facility data DT1 and DT2) of the target facility. The data search unit 11A has an internal data search unit 11A1 for performing a data search in the database 18 and an external data search unit 11A2 for performing a data search in the database 20. The external data search unit 11A2 accesses the database 20 via the Internet, for example, and searches the data in the database 20.

Further, the facility information acquisition unit 11 has a data merging unit 11B that merges the data searched by the internal data search unit 11A1 (for example, facility data DT1) and the data searched by the external data search unit 11A2 (for example, facility data DT2). In this embodiment, the data merging unit 11B removes one of the overlapping parts (for example, old data) from the data searched by the internal data search unit 11A1 and the data searched by the external data search unit 11A2. Generate merged data by merging both.

Further, FIG. 2B is a block diagram of the facility status information generation unit 14. The facility status information generation unit 14 has a target time setting unit 14A that sets a target time (target time) for generating facility status information. Further, the facility status information generation unit 14 has a facility status prediction unit 14B that predicts the status of the target facility after the target time set by the target time setting unit 14A.

In this embodiment, the target time setting unit 14A sets a predetermined time as the target time based on the estimated arrival time to the target facility calculated by the arrival time calculation unit 13 (FIG. 1). The facility status prediction unit 14B refers to the facility information acquired by the facility information acquisition unit 11 (merged data generated by the data merging unit 11B in this embodiment), the target time set by the target time setting unit 14B, and the subsequent predetermined time. Predict the status of the target facility for the time. The facility status prediction unit 14B generates information indicating the predicted facility status as facility status information.

FIG. 3A is a diagram schematically showing an example of facility information (facility data DT1) searched from the database 18 by the internal data search unit 11A1 of the facility information acquisition unit 11. FIG. 3B is a diagram schematically showing an example of facility information (facility data DT2) searched from the database 20 by the external data search unit 11A2 of the facility information acquisition unit 11. Further, FIG. 3C is a diagram schematically showing an example of facility information acquired by the facility information acquisition unit 11 and facility status information generated by the facility status information generation unit 14.

First, as shown in FIGS. 3A and 3B, for example, the facility information acquisition unit 11 obtains facility information from both databases 18 and 20, the facility name NA which is the name of the target facility, and the category which is the classification of the target facility. Acquire information on the location PO, which is the location information of the CA and the target facility. Therefore, in this embodiment, one of the information regarding the facility name NA, the category CA, and the location PO is removed by the data merge unit 11B (for example, old information) as shown in FIG. 3C.

Further, as shown in FIG. 3A, consider a case where the internal data search unit 11A1 searches only the database 18 for information on the business hours OP of the target facility. In this case, as shown in FIG. 3C, the data merging unit 11B performs a merging process for acquiring information on the business hours OP as facility information.

Further, as shown in FIG. 3B, consider a case where the external data search unit 11A2 searches only the database 20 for information on the sale time SA and the congestion degree CO of the target facility. In this case, as shown in FIG. 3C, the data merging unit 11B performs a merging process for acquiring information on the sale time SA and the congestion degree CO as facility information.

The data merge unit 11B first collates the facility data DT1 with the facility data DT2 based on, for example, the facility name NA, the category CA, and the position PO. Then, when the facility data DT1 and DT2 include information about the same facility, the data merging unit 11B merges the facility data DT1 and DT2.

Further, as shown in FIG. 3C, the target time setting unit 14A of the facility status information generation unit 14 sets the time of the facility status predicted by the facility status prediction unit 14B as the target time TI. For example, the target time setting unit 14A sets a predetermined time after the estimated arrival time as the target time TI.

Then, the facility status prediction unit 14B predicts the status of the target facility after the target time TI based on the facility information acquired by the facility information acquisition unit 11. In addition, the facility status prediction unit 14B generates facility status information SI indicating the predicted facility status.

For example, the facility information acquisition unit 11 targets two shopping malls whose facility names are AAA and BBB, and indicates facility information indicating business hours OP, sale time SA, and congestion degree CO related to the shopping malls AAA and BBB. To get.

Then, the facility status information generation unit 14 sets the target time TI based on the estimated arrival time, and sets the stayable time and the predicted congestion degree of the shopping malls AAA and BBB after the target time TI as the facility status information SI. Generate. In addition, the facility status information generation unit 14 generates information indicating whether or not the time after the target time TI of the shopping malls AAA and BBB overlaps with the sale time as the facility status information SI.

The facility information acquired by the facility information acquisition unit 11 is not limited to the information shown in FIG. 3C. For example, the facility information acquisition unit 11 may acquire information on the climate (for example, weather and temperature) in the vicinity of the target facility as facility information.

Further, for example, the facility information acquisition unit 11 may acquire real-time congestion information and past statistical information of the hourly congestion degree of the target facility. Further, for example, the facility information acquisition unit 11 may acquire information on the real-time congestion degree and the time when the congestion degree becomes a predetermined value or less with respect to the congestion degree of the target facility.

In addition, the facility information acquisition unit 11 classifies not only the business hours and congestion degree of the target facility but also information on other facilities around the target facility, for example, located in the vicinity of the target facility and in the same category as the target facility. Information on other facilities to be operated, business hours and congestion of the other facilities may be obtained. Further, the facility information acquisition unit 11 may acquire not only the sale time of the target facility but also the information of the event held at the target facility (for example, the event execution time) as the facility information.

Further, the target time TI set by the target time setting unit 14A of the facility status information generation unit 14 may be based on the estimated arrival time. Further, the facility status information SI generated by the facility status information generation unit 14 may be information at a predetermined time after the target time TI. For example, the facility status information generation unit 14 may generate information for several hours from the target time TI as the facility status information SI, or generate information up to the closing time of the target facility as the facility status information SI. You may. Further, the facility status information generation unit 14 may acquire information on the staying time at the target facility from the user and generate the facility status information SI up to the time based on the information.

Further, the facility status information generation unit 14 has described a case where the facility status information generation unit 14 generates the facility status information SI after the target time TI, that is, after a predetermined time by the facility status prediction unit 14B. However, for example, when the moving body is located at a place less than a predetermined distance from the target facility, the facility status prediction unit 14B sets the current facility status based on the facility information acquired by the facility information acquisition unit 11. It may be generated as information SI. That is, if the moving body is already located around the target facility (destination), the facility status information generation unit 14 may generate the current facility status as the facility status information SI regardless of the target time TI. good.

FIG. 4A is a block diagram of the stay recommendation degree evaluation unit 15. In this embodiment, the stay recommendation degree evaluation unit 15 uses the stay satisfaction evaluation unit 15A to evaluate the satisfaction level expected when staying at the target facility after the target time TI set by the facility status information generation unit 14. Have. In this embodiment, the stay satisfaction evaluation unit 15A has a satisfaction evaluation table that gives evaluation points of stay satisfaction for each item of the facility status information SI generated by the facility status information generation unit 14, and the table The degree of stay satisfaction of the facility status information SI is evaluated based on.

In addition, the stay recommendation degree evaluation unit 15 has a stay recommendation degree determination unit 15B that determines the recommendation degree for recommending stay at the target facility based on the stay satisfaction evaluation points given by the stay satisfaction evaluation unit 15A. The stay recommendation level determination unit 15B classifies the stay recommendation level into a plurality of levels based on the evaluated stay satisfaction level.

In addition, the stay recommendation degree evaluation unit 15 generates recommended information which is information indicating whether or not to recommend staying at the target facility based on the stay recommendation degree determined by the stay recommendation degree determination unit 15B. It has a generation unit 15C. For example, the recommendation information generation unit 15C generates information for recommending staying at the target facility as recommended information when it is determined that the stay recommendation level is equal to or higher than a predetermined level. On the other hand, when the recommendation information generation unit 15C determines that the stay recommendation level is at another level, for example, it recommends another facility different from the target facility, or another time zone (time range). Generate information as recommended information that encourages you to recommend.

FIG. 4B is a diagram showing an example of a satisfaction evaluation table included in the stay satisfaction evaluation unit 15A. The stay satisfaction evaluation unit 15A assigns an individual evaluation point SC for evaluating the stay satisfaction for each item of the facility status information SI. For example, as shown in FIG. 4B, when the available stay time is 0 hours, that is, when the target facility is out of business hours at the time of arrival, the facility status information SI indicating the available stay time has an individual evaluation point SC of 0 points. Is given. Similarly, the stay satisfaction evaluation unit 15A assigns individual evaluation points SC to each item of the facility status information SI such as the stayable time, the congestion degree, and the sale time.

FIG. 4C is a diagram showing an example of a recommendation degree determination table by the stay recommendation degree determination unit 15B and recommended information generated by the recommendation information generation unit 15C based on the table. For example, the stay recommendation degree determination unit 15B classifies the stay recommendation degree RE into three levels based on the average evaluation point AV which is the average value of the individual evaluation points SC given by the stay satisfaction evaluation unit 15B.

For example, when the average evaluation point AV exceeds 1.5 points, the stay recommendation degree determination unit 15B determines that the facility has a high level of stay recommendation degree RE. In addition, the stay recommendation level determination unit 15B has a medium level stay recommendation level RE when the average evaluation point AV is within the range of 1 to 1.5 points, and a low level stay recommendation level RE when the average evaluation point AV is less than 1. Is determined to be. In this way, the stay recommendation level evaluation unit 15 generates recommendation level information indicating the stay recommendation level RE, which is the recommendation level for staying at the target facility after the target time TI.

In addition, the recommended information generation unit 15C generates recommended information SU indicating whether or not it is recommended to stay at the target facility after the target time TI based on the stay recommendation degree RE. For example, when it is determined that the stay recommendation level RE is high, the recommendation information SU that recommends staying at the target facility after the target time TI is generated.

Further, in this embodiment, when the recommendation information generation unit 15C determines that the stay recommendation degree RE is at a medium level, the peripheral facility information regarding other time zones of the target facility or other facilities around the target facility Is generated as recommended information SU. Further, in this embodiment, when the recommendation information generation unit 15C determines that the stay recommendation level RE is low, it generates information on surrounding facilities and then provides information that recommends other facilities or time zones. Recommended information Generated as SU.

FIG. 5 is a diagram showing an operation flow (information processing flow) by the information processing device 10. The information processing device 10 starts operation when the user specifies a destination. First, the facility information acquisition unit 11 sets the destination as the target facility and acquires at least one facility information related to the target facility (step S11). Next, the arrival time calculation unit 13 calculates the estimated arrival time of the moving object to the target facility (step S12).

Next, the facility status information generation unit 14 sets a predetermined time as the target time TI based on the estimated arrival time, and generates the facility status information SI indicating the status of the target facility after the target time TI (step S13). ). In addition, the stay recommendation level evaluation unit 15 evaluates the stay recommendation level RE, which is the recommendation level for staying at the target facility after the target time TI (step S14).

Subsequently, the presentation unit 16 presents the facility status information SI (and the stay recommendation degree RE) to the user (step S15). Next, the navigation function unit 17 guides the movement to the target facility based on the user's designation (step S16).

As described above, in the present embodiment, the information processing apparatus 10 generates information indicating the status of the target facility when the mobile body arrives at the target facility by the facility status information generation unit 14. Therefore, the user can easily predict what kind of situation the facility will be in when it arrives at the destination facility.

In addition, the facility information acquisition unit 11 acquires information indicating the congestion degree CO of the target facility as facility information. Therefore, for example, the facility status information generation unit 14 can generate useful information for the user, such as the degree of congestion in the facility and the degree of congestion in the parking lot at the time of arrival at the target facility.

In addition, the facility information acquisition unit 11 acquires information on the event execution time at the target facility, such as the sale time SA of the target facility, as the facility information. Further, the facility status information generation unit 14 generates information indicating whether or not the time after the target time TI overlaps with the event execution time of the target facility as the facility status information SI. Therefore, it is possible to provide the user with useful information when staying at the target facility.

Further, the information processing device 10 has a stay recommendation degree evaluation unit 15 that generates recommendation degree information indicating a recommendation degree RE for staying at the target facility after the target time TI. Therefore, for example, the user can easily determine whether or not to move toward the target facility and when to visit the target facility.

In addition, the facility status information acquisition unit 11 acquires information on other facilities around the target facility as facility information. In addition, when the recommendation level RE in the target facility is less than or equal to the predetermined value, the stay recommendation level evaluation unit 15 generates peripheral facility information including information on the other facility. As a result, it is possible to provide the user with useful information including information on the surroundings of the target facility.

In this embodiment, the case where the information processing device 10 is mounted on the navigation device has been described. However, the information processing device 10 may function as a device other than the navigation device. For example, the information processing device 10 may be mounted on another device that generates facility status information in cooperation with the navigation device.

FIG. 6 is a block diagram of the information processing apparatus 10A according to the modified example of the first embodiment. In this embodiment, the information processing device 10A is mounted on the server connected to the navigation device 40. Further, the information processing device 10A constitutes the information processing system 30 together with the navigation device 40.

In other words, the information processing system 30 includes an information processing device 10A and a navigation device 40. In this modification, the information processing device 10A has a database 18 inside and has a communication function to access an external database 20 like the information processing device 10.

In this modification, the information processing device 10A has a facility information acquisition unit 11, an arrival time calculation unit 13, a facility status information generation unit 14, and a stay recommendation degree evaluation unit 15 similar to the information processing device 10. Further, in this modification, the navigation device 40 has a facility information acquisition unit 11, a route search unit 12, a presentation unit 16, and a navigation function unit 17 similar to the information processing device 10.

Further, the navigation device 40 is mounted on the moving body, and the information processing device 10A can be installed outside the moving body. Further, for example, the information processing device 10A communicates with the navigation device 40, for example.

In this modification, for example, the user operates the navigation device 40 and designates the target facility for the navigation device 40. The information processing device 10A receives the information about the designated target facility, and further acquires the facility information from the databases 18 and 20. Further, the navigation device 40 searches for a movement route to the target facility by the route search unit 12, and transmits information about the movement route to the information processing device 10A.

Further, the information processing device 10A calculates the estimated arrival time of the moving body to the target facility by the arrival time calculation unit 13. Then, the facility status information generation unit 14 generates the facility status information SI, and the stay recommendation degree evaluation unit 15 evaluates the stay recommendation degree RE. In other words, in this modification, the information processing apparatus 10A executes, for example, steps S11 to S14 shown in FIG.

Then, the information processing device 10A transmits the facility status information SI generated by the facility status information generation unit 14, the stay recommendation degree RE evaluated or generated by the stay recommendation degree evaluation unit 15, and the recommendation information SU to the navigation device 40. The navigation device 40 presents the above-mentioned information to the user of the mobile body by the presentation unit 16. In addition, the navigation device 40 provides movement guidance to the target facility by the navigation function unit 17 according to the user's selection.

In this way, the information processing device 10A may acquire the movement route for calculating the estimated arrival time from the outside (navigation device 40). Further, the information processing device 10A may not have the presentation unit 16 and may instruct the outside to present the facility status information SI generated by the facility status information generation unit 14. Further, the information processing device 10A may be provided outside the mobile body.

Further, in the present embodiment and its modifications, the case where the information processing devices 10 and 10A have the stay recommendation degree evaluation unit 15 has been described. However, the information processing device 10 or 10A may be provided with the facility status information generation unit 14. This makes it possible to provide the user with the status of the target facility at the time when it can arrive.

Further, in this embodiment and its modification, the case where the information processing devices 10 and 10A have the database 18 inside has been described. However, the information processing device 10 or 10A does not have to have the database 18. For example, the facility information acquisition unit 11 may acquire facility information only from an external database (for example, only the database 20). The facility information acquisition unit 11 may acquire at least one piece of information about the target facility from any searchable information source.

Further, in this embodiment and its modified example, the facility status information generation unit 14 sets a predetermined time as the target time TI based on the estimated arrival time to the target facility, and the facility after the target time TI in the target facility. The case of generating the status information SI has been described. However, the facility status information generation unit 14 generates the facility status information SI of the target facility based on the estimated arrival time calculated by the estimated arrival time calculation unit 13 and the facility information acquired by the facility information acquisition unit 11. do it. This can provide useful information for the user.

As described above, the information processing device 10 or 10A includes a facility information acquisition unit 11 that acquires facility information related to one facility, and an arrival time calculation unit 13 that calculates an estimated arrival time of a moving object to the one facility. It is provided with a facility status information generation unit 14 that generates facility status information SI indicating the status of the one facility based on the estimated arrival time and facility information. Therefore, it is possible to provide the information processing devices 10 and 10A capable of performing various information processing and showing meaningful information regarding the facility status.

Further, the present invention can be implemented as an information processing method, for example, by going through the steps shown in FIG. For example, the information processing method according to the present invention includes step S11 for acquiring facility information about one facility, step S12 for calculating an estimated arrival time of a moving object to the one facility, and the estimated arrival time and facility information. Based on this, it includes step S13 of generating facility status information SI indicating the status of the one facility. Thereby, it is possible to provide an information processing method capable of performing various information processing and showing meaningful information on the facility situation.

Further, the present invention can be implemented as a program that causes the computer to function as the information processing device 10 or 10A. For example, in the program according to the present invention, the computer has a facility information acquisition unit 11 that acquires facility information related to one facility, an arrival time calculation unit 13 that calculates an estimated arrival time of a moving object to the one facility, and the like. It functions as a facility status information generation unit 14 that generates facility status information SI indicating the status of the one facility based on the estimated arrival time and facility information. Therefore, it is possible to provide a program capable of performing various information processing and showing meaningful information regarding the facility situation.

10, 10A Information processing device 11 Facility information acquisition unit 13 Arrival time calculation unit 14 Facility status information generation unit 15 Stay recommendation evaluation unit

Claims (6)

The facility information acquisition department that acquires facility information about one facility,
The arrival time calculation unit that calculates the estimated arrival time of the moving object to the one facility,
A facility status information generation unit that generates facility status information indicating the status of the one facility based on the estimated arrival time and the facility information is provided.
The facility status information generation unit sets a predetermined time as a target time based on the estimated arrival time, generates the facility status information after the target time in the one facility, and generates the facility status information.
An information processing apparatus including a stay recommendation degree evaluation unit that generates recommendation degree information indicating a recommendation degree for staying at the one facility after the target time based on the facility status information. The facility information acquisition unit acquires information on the degree of congestion of the one facility as the facility information.
The information processing device according to claim 1, wherein the facility status information generation unit generates information indicating the degree of congestion of the one facility as the facility status information. The facilities設情report acquisition section, the as facility information, obtains the information about the event departs time of the one facility,
Claim 1 or 2 is characterized in that the facility status information generation unit generates information indicating whether or not the time after the target time overlaps with the event execution time of the one facility as the facility status information. The information processing device described in. The facilities設情report acquisition section, the as facility information, obtains information about other facilities around the one facility,
Any one of claims 1 to 3, wherein the stay recommendation degree evaluation unit generates peripheral facility information including information on the other facility when the recommendation degree for the one facility is less than or equal to a predetermined value. The information processing device described in 1. Information processing device
Steps to get facility information about one facility,
The step of calculating the estimated arrival time of the moving object to the above-mentioned one facility, and
Including a step of generating facility status information indicating the status of the one facility based on the estimated arrival time and the facility information.
The information processing device sets a predetermined time as a target time based on the estimated arrival time, generates the facility status information after the target time in the one facility, and generates the facility status information.
An information processing method characterized by generating recommendation degree information indicating a recommendation degree for staying at the one facility after the target time based on the facility status information. Computer,
The facility information acquisition department that acquires facility information about one facility,
The arrival time calculation unit that calculates the estimated arrival time of the moving object to the one facility,
It functions as a facility status information generation unit that generates facility status information indicating the status of the one facility based on the estimated arrival time and the facility information.
The computer functioning as the facility status information generation unit sets a predetermined time as a target time based on the estimated arrival time, and functions to generate the facility status information after the target time in the one facility. Let me
The computer is characterized by functioning as a stay recommendation degree evaluation unit that generates recommendation degree information indicating a recommendation degree for staying at the one facility after the target time based on the facility status information. Program to do.

Images