JP2017033440A - Information processing device, information processing method and information processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To actively notify congestion prediction information about a user.SOLUTION: The information processing device includes an acquisition part, an extraction part, and a transmission part. The acquisition part acquires action schedule information showing user's future action. The extraction part extracts congestion prediction information about the user's future action in the congestion prediction information predicted from the past action history on the basis of the action schedule information acquired by the acquisition part. The transmission part transmits the congestion prediction information extracted by the extraction part to a terminal device owned by the user at timing determined on the basis of the user's future action.SELECTED DRAWING: Figure 2

Description

  The present invention relates to an information processing apparatus, an information processing method, and an information processing program.

  In recent years, techniques for predicting congestion at a specific point or section are known. For example, in such a technique, the congestion degree index is calculated based on the number of prior search logs at the congestion prediction date and time of the congestion prediction point.

JP 2014-235487 A JP 2008-273275 A JP2013-242822A

  However, in the above-described conventional technology, it is not always possible to actively notify the congestion prediction information related to the user. For example, in the above-described conventional technology, analysis indices such as a location and date / time are simply received from the terminal device, and congestion prediction information indicating the degree of congestion based on the number of search logs is simply transmitted as a response to the terminal device. For this reason, in the above-described conventional technology, it is not always possible to actively notify the congestion prediction information related to the user.

  The present application has been made in view of the above, and an object thereof is to provide an information processing apparatus, an information processing method, and an information processing program capable of actively notifying congestion prediction information related to a user.

  The information processing apparatus according to the present application includes an acquisition unit that acquires action schedule information indicating a user's future action, and congestion prediction information that is predicted from past action history based on the action schedule information acquired by the acquisition unit. An extraction unit that extracts congestion prediction information related to the user's future behavior, and a terminal device that the user has the congestion prediction information extracted by the extraction unit at a timing determined based on the user's future behavior. And a transmitter for transmitting.

  According to one aspect of the embodiment, it is possible to actively notify congestion prediction information related to the user.

FIG. 1 is an explanatory diagram illustrating an example of notification processing by the notification system according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the information processing apparatus according to the embodiment. FIG. 3 is a diagram illustrating an example of the action schedule information storage unit according to the embodiment. FIG. 4 is a diagram illustrating an example of the congestion prediction information storage unit according to the embodiment. FIG. 5 is a diagram illustrating an example of a user information storage unit according to the embodiment. FIG. 6 is an explanatory diagram for explaining the push notification. FIG. 7 is an explanatory diagram for explaining screen transition. FIG. 8 is an explanatory diagram for explaining screen transition. FIG. 9 is a sequence showing a registration processing procedure by the notification system. FIG. 10 is a sequence showing a notification processing procedure by the notification system. FIG. 11 is a flowchart illustrating a registration processing procedure performed by the information processing apparatus. FIG. 12 is a flowchart illustrating a notification processing procedure performed by the information processing apparatus. FIG. 13 is an explanatory diagram for explaining a heat map. FIG. 14 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the information processing apparatus.

  Hereinafter, a mode for carrying out an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as “embodiment”) will be described in detail with reference to the drawings. Note that the information processing apparatus, the information processing method, and the information processing program according to the present application are not limited by this embodiment. Moreover, in the following embodiment, the same code | symbol is attached | subjected to the same site | part and the overlapping description is abbreviate | omitted.

[1. Embodiment)
[1-1. Notification Process According to Embodiment]
First, an example of notification processing according to the embodiment will be described with reference to FIG. FIG. 1 is an explanatory diagram illustrating an example of notification processing by the notification system 1 according to the embodiment. In the example of FIG. 1, notification processing for displaying a push notification indicating information related to congestion on the terminal device 10 according to a predetermined condition is performed.

  As illustrated in FIG. 1, the notification system 1 includes a terminal device 10, an information providing server 50, an information processing device 100, and a notification server 150. The terminal device 10, the information providing server 50, the information processing device 100, and the notification server 150 are each connected to a network so as to be communicable by wire or wireless.

  The terminal device 10 is, for example, an information processing device such as a smartphone, a tablet terminal, a PC (Personal Computer), a mobile phone, or a PDA (Personal Digital Assistant). For example, the terminal device 10 receives and displays various information provided by the information providing server 50 by transmitting various requests to the information providing server 50. As an example, the terminal device 10 receives route information related to routes such as transfer guidance for transportation and operation information from the information providing server 50 and displays the route information.

  The information providing server 50 is a Web server that provides an information providing service. For example, in response to a request from the terminal device 10, the information providing server 50 provides the terminal device 10 with route information related to a route such as transfer guidance for transportation or operation information. As an example, the information providing server 50 provides the terminal device 10 with a search result that is specified by specifying a place that the user plans to visit in the future and a time that the user plans to visit such a place.

  The information processing device 100 is a server device that transmits congestion prediction information related to a user's future behavior to the terminal device 10. For example, the information processing apparatus 100 transmits instruction information for causing the terminal apparatus 10 to display a push notification including congestion prediction information via the notification server 150.

  The notification server 150 is a server device that notifies the terminal device 10 of congestion prediction information as a push notification. For example, the notification server 150 transmits, to the terminal device 10, instruction information that causes the terminal device 10 to display a push notification including congestion prediction information according to the instruction information received from the information processing device 100. Further, the notification server 150 grants a device token, which is a unique identifier for identifying the terminal device 10, to the terminal device 10 in response to a request from the terminal device 10.

  Here, it is desirable that the push notification is actively displayed on the terminal device 10 without transmitting a request from the terminal device 10. Therefore, the information processing apparatus 100 executes notification processing for displaying the push notification on the terminal device 10 at a timing determined based on the user's future behavior.

  First, the terminal device 10 possessed by the user U1 acquires a device token from the notification server 150 (step S1). For example, the terminal device 10 transmits a device token request to the notification server 150 and receives the device token from the notification server 150 as a response to the request.

  Subsequently, the terminal device 10 transmits action schedule information indicating the future action of the user U1 (step S2). Specifically, the terminal device 10 transmits, as the action schedule information, search information that is searched by designating a place where the user U1 is scheduled to visit in the future and a time when the user U1 is scheduled to visit such a place, to the information providing server 50. For example, the terminal device 10 transmits the search information to the information providing server 50 by transmitting information included in the screen memo of the search result stored in the terminal device 10. In the example of FIG. 1, the terminal device 10 has the location “B station” designated as the arrival location by the user U1 having the terminal device 10 in the route search and the date and time “July 2015” as the future time designated as the arrival date and time. The search information including “11th 18:00” is transmitted to the information providing server 50. In addition, the terminal device 10 registers the number of screen memos registered by the user U1, the number of operation information views related to routes included in the route registered in the screen memo by the user U1, the number of times the application that the user U1 searches is activated, and the user U1 registers. The user information indicating the status of the user U1 determined based on various information such as the presence / absence of a regular route and the device token are transmitted to the information providing server 50.

  Thereby, the information providing server 50 receives the action schedule information, the user information, and the device token from the terminal device 10. Then, the information processing apparatus 100 registers the action schedule information received from the terminal apparatus 10 by storing it in the storage unit in association with the user ID that identifies the user U1 having the terminal apparatus 10 (step S3). Further, the information providing server 50 registers the status and device token indicated by the user information by storing them in the storage unit in association with the user ID for identifying the user U1 having the terminal device 10.

  Subsequently, the information processing apparatus 100 acquires action schedule information indicating the future action of the user U1 (step S4). Specifically, the information processing apparatus 100 periodically obtains, as action schedule information, search information that is searched by designating a place where the user U1 will visit in the future and a time when the user U1 will visit such a place from the information providing server 50. To do. In the example of FIG. 1, the information processing apparatus 100 includes a search including a place “B station” designated as the arrival place and a date and time “July 11, 2015 18:00” that is the future time designated as the arrival date and time. Get information.

  After that, the information processing apparatus 100 extracts congestion prediction information related to the future action of the user U1 from the congestion prediction information predicted from the past action history based on the acquired action schedule information (step S5). Specifically, the information processing apparatus 100 extracts the congestion prediction information related to the location indicated by the search information acquired from the terminal device 10 from the congestion prediction information predicted from the accumulation degree of the search log. For example, the information processing apparatus 100 matches the point included in the route to the arrival place “B station” designated by the user U1 in the congestion prediction information stored in advance with the point where congestion is predicted by the user U1. Extract congestion prediction information related to future behavior. In the example of FIG. 1, the information processing apparatus 100 is congested prediction information indicating that a “fireworks display” will occur at “B station” on “11 July 2015, 17: 00-18: 00”. To extract.

  Thereafter, the information processing apparatus 100 transmits the extracted congestion prediction information to the terminal apparatus 10 of the user U1 at a timing determined based on the future behavior of the user U1 (step S6). For example, the information processing apparatus 100 transmits, to the notification server 150, instruction information for causing the terminal apparatus 10 to display a push notification including congestion prediction information immediately before the arrival date and time specified by the search by the user U1, a predetermined time, immediately before, or the like. To do. In the example of FIG. 1, the information processing apparatus 100 sends a push notification indicating that congestion occurs due to a “fireworks display” at “B station” on “July 11, 2015, 17: 00-18: 00”. Instruction information to be displayed on the terminal device 10 is transmitted to the notification server 150 at “July 10, 2015, 21:00”.

  Thereby, the notification server 150 receives instruction information for causing the terminal device 10 to display the push notification from the information processing device 100. Thereafter, the notification server 150 transmits instruction information for causing the terminal device 10 to display a push notification including the congestion prediction information (step S7). In the example of FIG. 1, the notification server 150 displays congestion prediction information indicating that congestion will occur at “B station” due to “fireworks display” on “July 11, 2015, 17: 00-18: 00”. The instruction information to be displayed on the terminal device 10 is transmitted to the terminal device 10 at “10:00 on July 10, 2015” including the push notification. As a result, the terminal device 10 receives “B station” on “July 11, 2015, 17:00 to 18:00”, which is information regarding congestion that is likely to occur in the route that the user U1 will act in the future. Can display the congestion caused by "Fireworks".

  As described above, the information processing apparatus 100 according to the embodiment acquires action schedule information indicating a user's future action. Further, the information processing apparatus 100 extracts congestion prediction information related to the user's future behavior from the congestion prediction information predicted from the past action history based on the acquired action schedule information. Further, the information processing apparatus 100 transmits the extracted congestion prediction information to the terminal apparatus 10 that the user has at a timing determined based on the user's future behavior.

  Thereby, since the information processing apparatus 100 can display the congestion prediction information on the terminal apparatus 10 even if the terminal apparatus 10 does not transmit a request, the information processing apparatus 100 can actively notify the congestion prediction information related to the user. . For example, the information processing apparatus 100 can display a push notification on the terminal device 10 on the day before the arrival date and time, or before or just before the arrival date and time based on the arrival date and time specified by the user in the search. Can be automatically notified at a timing suitable for the user.

  Moreover, since the information processing apparatus 100 can notify the congestion prediction information related to the user's action schedule information among the congestion prediction information predicted from the past action history, the information processing apparatus 100 is generated in the route where the user is scheduled to act in the future. It is possible to display on the terminal device 10 information related to congestion that is likely to be performed. For example, the information processing apparatus 100 can notify the congestion prediction information indicating the congestion point included in the route that the user plans to act in the future among the congestion prediction information predicted based on the search log. Information can be provided.

  In FIG. 1, an example is shown in which the notification system 1 includes one terminal device 10, one information providing server 50, one information processing device 100, and one notification server 150. However, the notification system 1 may include a plurality of terminal devices 10, a plurality of information providing servers 50, a plurality of information processing devices 100, and a plurality of notification servers 150. In addition, the information processing apparatus 100 transmits the extracted congestion prediction information to the terminal apparatus 10 possessed by the user at a timing determined based on the user's future behavior without using the notification server 150, thereby congesting the terminal apparatus 10. Prediction information may be displayed.

[1-2. Configuration of Information Processing Device According to Embodiment]
Next, the configuration of the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the information processing apparatus 100 according to the embodiment. As illustrated in FIG. 2, the information processing apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The information processing apparatus 100 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator who uses the information processing apparatus 100, and a display unit (for example, a liquid crystal display) that displays various types of information. ).

(About the communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card). The communication unit 110 is connected to a network by wire or wireless, and transmits / receives information to / from the terminal device 10, the information providing server 50, and the notification server 150 via the network. For example, the communication unit 110 receives action schedule information between the terminal device 10 and the information providing server 50. In addition, the communication unit 110 transmits congestion prediction information and instruction information related to push notification with the terminal device 10 and the notification server 150.

(About the storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 includes an action schedule information storage unit 121, a congestion prediction information storage unit 122, and a user information storage unit 123.

(About the action schedule information storage unit 121)
The action schedule information storage unit 121 stores information related to action schedule information indicating the future action of the user. Specifically, the action schedule information storage unit 121 stores, for each user, information related to search information searched by designating a place where the user plans to visit in the future and a time when the user plans to visit such a place. For example, the action schedule information storage unit 121 stores search information indicated by a screen memo saved by the user in the terminal device 10. Here, FIG. 3 shows an example of the action schedule information storage unit 121 according to the embodiment. As shown in FIG. 3, the action schedule information storage unit 121 includes “user ID”, “action ID”, “date”, “departure place”, “arrival place”, “departure time”, “arrival time”, “ It has items such as “Route ID” and “Determined flag”.

  “User ID” indicates identification information for identifying a user. For example, a unique identifier assigned to each user is stored in the “user ID”. “Action ID” indicates identification information for identifying information related to the future action of the user. For example, the “behavior ID” stores a unique identifier that is individually assigned for each search performed by the user. “Date” indicates the date when the action schedule information is generated. For example, the “date” stores the date on which a search is performed by designating a place where the user is scheduled to visit in the future and a time when the user is scheduled to visit such place. “Departure location” indicates a location that is a starting point for the user's future behavior. For example, in “departure place”, the name of the place designated as the departure place when the user searches is stored. The “arrival place” indicates a place that is an end point regarding the future action of the user. For example, in “arrival place”, the name of the place designated as the arrival place when the user searches is stored. The “departure time” indicates a time that is a starting point regarding the user's future behavior. For example, the “departure time” stores the time designated as the departure time when the user searches. “Arrival time” indicates a time that is the end point of the user's future behavior. For example, the “arrival time” stores the time designated as the arrival time when the user searches. “Route ID” indicates identification information for identifying a route related to the future behavior of the user. For example, in “Route ID”, an identifier of a route used in a route from “Departure point” to “Departure point” is stored. The “determined flag” indicates identification information for identifying whether or not the congestion related to the action schedule information is determined. For example, “1” is stored in the “determined flag” when the congestion related to the action schedule information has already been determined. On the other hand, “0” is stored in the “determined flag” when the congestion related to the action schedule information has not been determined yet.

  That is, in FIG. 3, the user identified by the user ID “U1” has the departure place “A station”, the arrival place “B station”, and the departure time “17:41” on “July 11, 2015”. ”, An example in which a search is performed by specifying“ 18:00 ”as the arrival time. Further, an example is shown in which the action ID for identifying such a search is “Se1”. Further, an example is shown in which the route identified by the route ID “L1” is included in the route of the search performed by the user identified by the user ID “U1”. Further, an example is shown in which the congestion information is not yet determined for the search information performed by the user identified by the user ID “U1”.

(Congestion prediction information storage unit 122)
The congestion prediction information storage unit 122 stores information related to events related to the future. Specifically, the congestion prediction information storage unit 122 stores the location, date and time of abnormality such as congestion, the content of the abnormality, the cause of the abnormality, and the like. Here, FIG. 4 shows an example of the congestion prediction information storage unit 122 according to the embodiment. As illustrated in FIG. 4, the congestion prediction information storage unit 122 includes items such as “event ID”, “event content”, “location”, “date / time”, and “cause”.

  “Event ID” indicates identification information for identifying an event related to the future. For example, the “event ID” stores a unique identifier for identifying an abnormality such as congestion or quiet predicted from the past action history. “Event content” indicates the content of an event related to the future. For example, in “event content”, abnormal content such as congestion and quiet predicted from past action history is stored. As an example, “event content” stores information related to congestion and quietness predicted from the accumulation of search logs. “Place” indicates a place where an event related to the future occurs. For example, the “location” stores the location of the future congestion. “Date and time” indicates the date and time when an event related to the future occurs. For example, the “date and time” stores the occurrence date and time of congestion related to the future. “Cause” indicates the cause of an event related to the future. For example, “Cause” stores the cause of congestion related to the future.

  That is, FIG. 4 shows an example in which the content of the event identified by the event ID “Iv1” is “congested”. Further, an example is shown in which the event identified by the event ID “Iv1” occurs at the place “B station” on the date and time “July 11, 2015, 17: 00-18: 00”. In addition, an example is shown in which the cause of the event identified by the event ID “Iv1” is “fireworks display”.

(User information storage unit 123)
The user information storage unit 123 stores information about the user. Specifically, the user information storage unit 123 stores information on the user status and device token for each user. Here, FIG. 5 shows an example of the user information storage unit 123 according to the embodiment. As illustrated in FIG. 5, the user information storage unit 123 includes items such as “user ID”, “status”, and “device token”.

  “User ID” indicates identification information for identifying a user. For example, a unique identifier assigned to each user is stored in the “user ID”. “Status” indicates the state of the user. For example, the “status” includes the number of registered screen memos of the user, the number of viewing operation information related to the route included in the route registered in the screen memo by the user, the number of times the application is searched for by the user, The state determined based on various information such as presence / absence is stored. As an example, “Low”, “Middle”, or “Heavy” indicating the state of the user is stored in “Status”. “Low” indicates that the user is a standard user of route search and the like. As an example, a user whose number of searches per day is two times or less is classified as “Low”. “Middle” indicates that the number of uses such as route search is slightly higher than that of a standard user. As an example, a user whose number of searches per day is 3 to 5 is classified as “Middle”. “Heavy” indicates that the user frequently uses the route search and the like more frequently than a standard user. As an example, a user whose number of searches per day is 6 or more is classified as “Heavy”. Note that the number of searches for classifying the user status described above is merely an example, and an optimal arbitrary value obtained by an experiment or the like is set. The “device token” indicates identification information for identifying the terminal device 10 possessed by the user. For example, a unique identifier assigned to each terminal device 10 is stored in the “device token”. As an example, an identifier assigned to the terminal device 10 by the notification server 150 is stored in the “device token”.

  That is, FIG. 5 shows an example in which the status of the user identified by the user ID “U1” is “Low” and the use frequency of the route search is standard. In addition, the device token of the terminal device 10 possessed by the user identified by the user ID “U1” is “DT1”.

(About the control unit 130)
Returning to FIG. 2, the control unit 130 uses various programs (an example of an information processing program) stored in a storage device inside the information processing apparatus 100 by, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). This is realized by executing the RAM as a work area. The control unit 130 is realized by an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

  As shown in FIG. 2, the control unit 130 includes an acquisition unit 131, an extraction unit 132, and a transmission unit 133, and realizes or executes functions and operations of information processing described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. In addition, the connection relationship between the processing units included in the control unit 130 is not limited to the connection relationship illustrated in FIG. 2, and may be another connection relationship.

(About the acquisition unit 131)
The acquisition unit 131 acquires action schedule information indicating a user's future action. Specifically, the acquisition unit 131 acquires, as the action schedule information, search information that is searched by designating a place where the user plans to visit in the future and a time when the user plans to visit such a place. In addition, when the action schedule information is acquired, the acquisition unit 131 stores the acquired action schedule information in the action schedule information storage unit 121. For example, the acquisition unit 131 assigns an action ID to the action schedule information, and the user ID of the user who has the terminal device 10, the date on which the user performs the search, the departure place, the arrival place, and the departure specified by the user in the search. The time and arrival time and the route ID of the route used in the route from the departure place to the arrival place are stored in the action schedule information storage unit 121 in association with the action ID.

  The acquisition unit 131 acquires user information and a device token. For example, the acquisition unit 131 registers, as user information, the number of registered screen memos of the user, the number of viewing operation information related to routes included in the route registered in the screen memo by the user, the number of activations of the application that the user searches, and the user registers Information indicating the status of the user determined based on various information such as the presence or absence of a regular route is acquired. Then, the acquisition unit 131 stores the acquired information indicating the user status and the device token in the user information storage unit 123 in association with the user ID.

(About the extraction unit 132)
Based on the action schedule information acquired by the acquisition unit 131, the extraction unit 132 extracts congestion prediction information related to the user's future behavior from the congestion prediction information predicted from the past behavior history. Specifically, the extraction unit 132 extracts congestion prediction information related to the location indicated by the search information acquired by the acquisition unit 131. For example, the extraction unit 132 extracts congestion prediction information indicating congestion of a point included in the route to the destination designated by the user from the congestion prediction information predicted from the accumulation degree of the search log. As an example, the extraction unit 132 first refers to the action schedule information storage unit 121 and extracts a route corresponding to the route ID indicated by the action schedule information as a congestion prediction target route. Subsequently, the extraction unit 132 determines congestion on each extracted route. For example, the extraction unit 132 refers to the action schedule information storage unit 121 and the congestion prediction information storage unit 122, and includes points included in the route from the departure point to the arrival point of the congestion prediction target route and points where congestion is predicted. To determine the congestion of each route. Then, the extraction unit 132 extracts the congestion prediction information corresponding to the route determined to be crowded from the congestion prediction information storage unit 122 as the congestion prediction information related to the user's future behavior.

(About transmitter 133)
The transmission unit 133 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal device 10 owned by the user at a timing determined based on the user's future behavior. Specifically, the transmission unit 133 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal device 10 a predetermined time before the time when the user is scheduled to perform a future action. More specifically, the transmission unit 133 transmits instruction information for causing the terminal device 10 to display a push notification including the congestion prediction information extracted by the extraction unit 132. As one aspect, the transmission unit 133 transmits instruction information for displaying the push notification on the terminal device 10 to the notification server 150 immediately before the arrival date and time specified by the user in the search, before a predetermined time, immediately before, or the like. For example, the transmission unit 133 transmits the congestion prediction information to the terminal device 10 when the congestion level indicated by the congestion prediction information is greater than or equal to a predetermined threshold.

  As an example, the transmission unit 133 refers to the user information storage unit 123 and transmits instruction information for causing the terminal device 10 to display a push notification at a frequency based on the user status. For example, when the user status is “Heavy”, the transmission unit 133 transmits instruction information for causing the terminal device 10 to display push notifications at predetermined intervals until immediately before the arrival date and time designated by the user in the search. Note that the transmission unit 133 transmits instruction information for instructing that the push notification is not displayed on the terminal device 10 during a midnight time period such as 2 o'clock to 5 o'clock. In addition, when the user status is “Middle”, the transmission unit 133 transmits instruction information for causing the terminal device 10 to display a push notification 2 hours to 4 hours before the arrival date and time designated by the user in the search. . In addition, when the user status is “Low”, the transmission unit 133 transmits instruction information for causing the terminal device 10 to display a push notification at 21:00 the day before the arrival date and time designated by the user. Thereby, the terminal device 10 displays a push notification indicating congestion prediction information related to the user's future behavior.

  Here, the push notification will be described in detail with reference to FIG. FIG. 6 is an explanatory diagram for explaining the push notification. For example, when receiving the instruction information for displaying the push notification from the notification server 150, the terminal device 10 displays the push notification Nt1 illustrated in FIG. 6 on the screen. As an example, as shown in FIG. 6, the push notification Nt1 includes a warning message indicating that the occurrence of congestion is predicted, the date “July 11” when the congestion occurs, and the location “ "A station-B station" is described.

  Next, screen transitions by push notification will be described with reference to FIGS. 7 to 8 are explanatory diagrams for explaining screen transition. As illustrated in FIG. 7, when the push notification Nt1 is selected by the user, the terminal device 10 indicates that congestion is predicted with the route Li1 that stops at the A station and the B station where congestion is predicted to occur. A transition is made to a screen displaying warning Lk1.

  Further, as illustrated in FIG. 8, the terminal device 10 may display a link Lk2 for searching for a route that is not congested together with the route Li1 and the warning Lk1. Here, when the link Lk2 is selected by the user, the terminal device 10 transitions to a screen that displays the routes SR1 to SR3 that are not congested among the routes from the A station to the B station. For example, the terminal device 10 displays a route having a congestion degree of 100% or less and a departure time within one hour before and after as a route that is not crowded.

[1-3. Notification Processing Procedure According to Embodiment]
Next, the procedure of registration processing by the notification system 1 according to the embodiment will be described with reference to FIG. FIG. 9 is a sequence showing a registration processing procedure by the notification system 1 according to the embodiment.

  As shown in FIG. 9, the terminal device 10 first transmits a device token request to the notification server 150 (step S101). As a result, the notification server 150 receives a device token request from the terminal device 10. When the notification server 150 receives a request for a device token, the notification server 150 transmits the device token to the terminal device 10 as a response to the request (step S102). Thereby, the terminal device 10 receives the device token.

  Thereafter, the terminal device 10 transmits a request for requesting a push notification and action schedule information indicating the user's future action to the information providing server 50 (step S103). For example, the terminal device 10 transmits, as the action schedule information, information related to the screen memo including the search information searched by designating the place where the user is scheduled to visit in the future and the time when the user is scheduled to visit such a place to the information providing server 50. Thereby, the information providing server 50 receives the action schedule information from the terminal device 10.

  Subsequently, the information providing server 50 registers the action schedule information received from the terminal device 10 in association with the user ID for identifying the user (step S104). Thereafter, the information providing server 50 transmits a registration result as a response to the request received from the terminal device 10 (step S105). Thereby, the notification system 1 registers a request for push notification of the terminal device 10.

  Next, the procedure of notification processing by the notification system 1 according to the embodiment will be described with reference to FIG. FIG. 10 is a sequence showing a notification processing procedure by the notification system 1 according to the embodiment.

  First, the information processing apparatus 100 acquires action schedule information indicating a user's future action (step S201). Specifically, the information processing apparatus 100 acquires, as the action schedule information, search information searched by designating a place where the user is scheduled to visit in the future and a time when the user is scheduled to visit such a place. In addition, when the action schedule information is acquired, the information processing apparatus 100 stores the acquired action schedule information in the action schedule information storage unit 121. Further, the information processing apparatus 100 acquires user information and a device token. The information processing apparatus 100 stores information indicating the acquired user status and a device token in the user information storage unit 123.

  Subsequently, the information processing apparatus 100 extracts congestion prediction information related to the user's future behavior from the congestion prediction information predicted from the past behavior history based on the action schedule information acquired by the acquisition unit 131 ( Step S202). Specifically, the information processing apparatus 100 extracts congestion prediction information related to the location indicated by the search information acquired by the acquisition unit 131. For example, the information processing apparatus 100 extracts congestion prediction information indicating congestion of a point included in the route to the destination designated by the user from the congestion prediction information predicted from the accumulation degree of the search log.

  Thereafter, the information processing apparatus 100 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal apparatus 10 possessed by the user at a timing determined based on the user's future behavior (step S203). Specifically, the information processing apparatus 100 transmits instruction information that causes the terminal device 10 that the user has to display a push notification related to the congestion prediction information extracted by the extraction unit 132 at a timing determined based on the user's future behavior. . For example, the information processing apparatus 100 transmits, to the notification server 150, instruction information that causes the terminal apparatus 10 to display a push notification immediately before the arrival date and time specified by the search, a predetermined time before, or immediately before.

  Thereafter, the notification server 150 transmits instruction information for causing the terminal device 10 to display a push notification including the congestion prediction information to the terminal device 10 (step S204). Specifically, the notification server 150 transmits to the terminal device 10 instruction information for causing the terminal device 10 to display a push notification including congestion prediction information at a timing determined based on the user's future behavior. Thereby, the terminal device 10 displays the push notification including the congestion prediction information at a timing determined based on the future behavior of the user.

  Next, a registration process procedure performed by the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 11 is a flowchart illustrating a registration processing procedure performed by the information processing apparatus 100 according to the embodiment.

  As illustrated in FIG. 11, the information processing apparatus 100 first acquires action schedule information indicating a user's future action (step S301). For example, the information processing apparatus 100 acquires search information that is searched by designating a place where the user is scheduled to visit in the future and a time when the user is scheduled to visit such place as the action schedule information. The information processing apparatus 100 stores the acquired action schedule information in the action schedule information storage unit 121 (step S302). Thereafter, the information processing apparatus 100 transmits a registration result indicating that the action schedule information has been registered (step S303).

  Next, a procedure of notification processing by the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 12 is a flowchart illustrating a notification processing procedure performed by the information processing apparatus 100 according to the embodiment. Note that the notification process by the information processing apparatus 100 is executed at an arbitrary timing.

  As illustrated in FIG. 12, the information processing apparatus 100 first extracts a congestion prediction target route (step S401). For example, the information processing apparatus 100 refers to the action schedule information storage unit 121 and extracts a route corresponding to the route ID indicated by the action schedule information as a congestion prediction target route.

  Here, the information processing apparatus 100 ends the notification process when no congestion prediction target route is extracted (step S402; No). On the other hand, when one or more congestion prediction target routes are extracted (step S402; Yes), the information processing apparatus 100 determines congestion for each extracted route (step S403). For example, the information processing apparatus 100 refers to the action schedule information storage unit 121 and the congestion prediction information storage unit 122, and includes points that are included in the route from the departure point to the arrival point of the congestion prediction target route and points where congestion is predicted. And determine congestion.

  If the information processing apparatus 100 determines that the congestion prediction target route is not congested (step S404; No), the information processing apparatus 100 updates the determined flag (step S406) and ends the notification process. On the other hand, when the information processing apparatus 100 determines that the congestion prediction target route is congested (step S404; Yes), the terminal that the user has at a timing determined based on the user's future behavior regarding push notification regarding the congestion prediction information. Instruction information to be displayed on the device 10 is transmitted (step S405). Thereafter, the information processing apparatus 100 updates the determined flag (step S406) and ends the notification process. Note that the information processing apparatus 100 repeatedly performs the processes of steps S403 to S406 for the number of extracted congestion prediction target routes.

[1-4. Effects of the embodiment
As described above, the information processing apparatus 100 according to the embodiment includes the acquisition unit 131, the extraction unit 132, and the transmission unit 133. The acquisition unit 131 acquires action schedule information indicating a user's future action. Based on the action schedule information acquired by the acquisition unit 131, the extraction unit 132 extracts congestion prediction information related to the user's future behavior from the congestion prediction information predicted from the past behavior history. The transmission unit 133 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal device 10 owned by the user at a timing determined based on the user's future behavior.

  Thereby, since the information processing apparatus 100 can display the congestion prediction information on the terminal apparatus 10 even if the terminal apparatus 10 does not transmit a request, the information processing apparatus 100 can actively notify the congestion prediction information related to the user. . For example, the information processing apparatus 100 can display a push notification on the terminal device 10 on the day before the arrival date and time, or before or just before the arrival date and time based on the arrival date and time specified by the user in the search. Can be automatically notified at a timing suitable for the user.

  Moreover, since the information processing apparatus 100 can notify the congestion prediction information related to the user's action schedule information among the congestion prediction information predicted from the past action history, the information processing apparatus 100 is generated in the route where the user is scheduled to act in the future. It is possible to display on the terminal device 10 information related to congestion that is likely to be performed. For example, the information processing apparatus 100 can notify the congestion prediction information indicating the congestion point included in the route that the user plans to act in the future among the congestion prediction information predicted based on the search log. Information can be provided.

  Further, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires, as the action schedule information, search information that is searched by designating a place where the user plans to visit in the future and a time when the user plans to visit such a place. The extraction unit 132 extracts congestion prediction information related to the location indicated by the search information acquired by the acquisition unit 131.

  Thereby, since the information processing apparatus 100 can extract the congestion prediction information related to the arrival place searched by the user, it is possible to provide information with contents suitable for the user.

  In the information processing apparatus 100 according to the embodiment, the transmission unit 133 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal device 10 a predetermined time before the time when the user is scheduled to perform a future action. To do. Accordingly, the information processing apparatus 100 can automatically notify the congestion prediction information at a timing suitable for the user.

  In the information processing apparatus 100 according to the embodiment, the transmission unit 133 transmits instruction information for causing the terminal device 10 to display a push notification including the congestion prediction information extracted by the extraction unit 132. Thereby, the information processing apparatus 100 can display the push notification indicating the congestion prediction information related to the user on the user terminal device 10.

  In the information processing apparatus 100 according to the embodiment, the transmission unit 133 transmits the congestion prediction information to the terminal device 10 when the congestion degree indicated by the congestion prediction information is equal to or greater than a predetermined threshold. Thereby, since the information processing apparatus 100 can transmit congestion prediction information to the terminal device 10 according to the degree of congestion, it is possible to provide information with contents suitable for the user with high accuracy.

[2. (Modification)
The information processing apparatus 100 according to the above-described embodiment may be implemented in various different forms other than the above-described embodiment. Therefore, hereinafter, another embodiment of the information processing apparatus 100 will be described.

[2-1. (Heat map)
In the above embodiment, an example has been described in which the information processing apparatus 100 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal apparatus 10 that the user has at a timing determined based on the user's future behavior. Here, the information processing apparatus 100 may transmit instruction information that causes the terminal apparatus 10 to display a push notification that can be changed to a screen that displays a heat map.

  This point will be described with reference to FIG. FIG. 13 is an explanatory diagram for explaining a heat map. As an example, as illustrated in FIG. 13, the terminal device 10 displays a link Lk3 that transitions to a screen that displays a heat map, along with a route Li1 and a link Lk2 that searches for a route that is not congested. Here, when the link Lk3 is selected by the user, the terminal device 10 transitions to a screen that displays the heat map Mp1.

  The heat map Mp1 and the slide bar SB are displayed on the screen that displays the heat map Mp1. For example, the heat map Mp1 displays the degree of congestion for one hour before and after the route Rt1 where congestion is predicted. As an example, the heat map Mp1 expresses the degree of congestion by color-coding the route according to the congestion rate. In addition, the heat map Mp1 displays the degree of congestion of the route of the time zone corresponding to the position of the pointer by moving the pointer left and right by the slide bar SB installed at the bottom of the screen. In addition, a search window SW is displayed on the screen displaying the heat map Mp1 so that a route passing through the transit station designated by the user can be searched again. For example, when a station on the heat map Mp1 is selected by the user, the terminal device 10 transitions to a screen that displays a heat map of a route passing through the station as a transit station.

  As described above, the information processing apparatus 100 according to the modification transmits instruction information for causing the terminal device 10 to display a push notification that can be changed to a screen for displaying a heat map. Thereby, since the information processing apparatus 100 can display the degree of congestion of the route related to the user's future behavior, it is possible to provide information with contents suitable for the user. For example, the information processing apparatus 100 can display the degree of congestion of the route planned by the user on the map for each hour, so that the convenience of the user can be improved.

[2-2. (Display push notifications according to elapsed time)
In the above embodiment, an example has been described in which the information processing apparatus 100 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal apparatus 10 that the user has at a timing determined based on the user's future behavior. Here, the information processing apparatus 100 may transmit instruction information for causing the terminal apparatus 10 to display a push notification according to the elapsed time.

  Specifically, the transmission unit 133 of the information processing device 100 transmits the congestion prediction information to the terminal device 10 based on the time elapsed from the time when the action schedule information is generated. For example, the information processing apparatus 100 transmits instruction information for causing the terminal apparatus 10 to periodically display push notifications at predetermined intervals from the date and time when the search is performed to the arrival time.

  As described above, the information processing apparatus 100 according to the modification transmits the congestion prediction information to the terminal device 10 based on the time elapsed from the time when the action schedule information is generated. Thereby, since the information processing apparatus 100 can display the push notification on the terminal apparatus 10 according to the elapsed time, the information processing apparatus 100 can notify the user of congestion related to the user's future behavior at an appropriate timing.

[2-3. Display push notification when using service)
In the above embodiment, an example has been described in which the information processing apparatus 100 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal apparatus 10 that the user has at a timing determined based on the user's future behavior. Here, the information processing apparatus 100 may transmit instruction information for causing the terminal apparatus 10 to display a push notification at various timings.

  Specifically, the transmission unit 133 of the information processing device 100 transmits congestion prediction information to the terminal device 10 when the user uses an information providing service that provides information related to the user's future behavior. For example, the information processing apparatus 100 transmits instruction information that causes the terminal device 10 to display congestion prediction information when the user uses a search service that provides a search result as an information providing service. As an example, the information processing apparatus 100 transmits instruction information for causing the terminal device 10 to display congestion prediction information together with the search result of the route search. In another example, the information processing apparatus 100 transmits instruction information for causing the terminal device 10 to display congestion prediction information when reserving facilities such as transportation facilities and hotels, or when using an application related to a memo or a calendar.

  As described above, the information processing apparatus 100 according to the modification transmits the congestion prediction information to the terminal apparatus 10 when the user uses an information providing service that provides information related to the user's future behavior. Further, the information processing apparatus 100 transmits congestion prediction information to the terminal device 10 when the user uses a search service that provides a search result as an information providing service. As a result, the information processing apparatus 100 can display the congestion prediction information on the terminal device 10 when the user uses the service, and therefore provides information on content related to the user's future behavior at an appropriate timing. Can do.

[2-4. (Display push notification according to the amount of action)
In the above embodiment, an example has been described in which the information processing apparatus 100 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal apparatus 10 that the user has at a timing determined based on the user's future behavior. Here, the information processing apparatus 100 may transmit instruction information for causing the terminal device 10 to display a push notification according to the amount of action of the user.

  Specifically, the transmission unit 133 of the information processing device 100 transmits the congestion prediction information to the terminal device 10 at a higher frequency as the amount of user action indicated by the action schedule information increases. For example, the information processing apparatus 100 transmits instruction information for causing the terminal device 10 to display a push notification with a higher frequency as the number of searches performed by the user increases. As an example, the information processing apparatus 100 transmits instruction information for causing the terminal apparatus 10 to display a push notification every hour when the number of searches by the user is 5 or more. In another example, the information processing apparatus 100 may transmit the congestion prediction information to the terminal apparatus 10 at a frequency according to the use frequency of the memo function included in the terminal apparatus 10 or the confirmation frequency of the push notification.

  As described above, the information processing apparatus 100 according to the modification transmits the congestion prediction information to the terminal device 10 with a higher frequency as the amount of user action indicated by the action schedule information increases. Thereby, since the information processing apparatus 100 can display the push notification on the terminal device 10 according to the amount of action of the user, the congestion prediction information can be provided with a frequency suitable for the user.

[2-5. (Display push notifications according to changes in congestion)
In the above embodiment, an example has been described in which the information processing apparatus 100 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal apparatus 10 that the user has at a timing determined based on the user's future behavior. Here, the information processing apparatus 100 may transmit instruction information for causing the terminal apparatus 10 to display a push notification in accordance with a change in the degree of congestion.

  Specifically, the transmission unit 133 of the information processing device 100 transmits the congestion prediction information to the terminal device 10 at a higher frequency as the change in the congestion degree indicated by the congestion prediction information is larger. For example, the information processing apparatus 100 transmits instruction information that causes the terminal apparatus 10 to display push notifications with a higher frequency as the degree of congestion changes. On the other hand, the information processing apparatus 100 transmits instruction information for causing the terminal apparatus 10 to display push notifications with a lower frequency as the degree of congestion changes.

  As described above, the information processing apparatus 100 according to the modification transmits the congestion prediction information to the terminal device 10 at a higher frequency as the change in the congestion degree indicated by the congestion prediction information is larger. Thereby, since the information processing apparatus 100 can display the push notification on the terminal device 10 at a frequency according to the change in the degree of congestion, the user can be made aware of the degree of importance of the congestion prediction information for the user.

[2-6. (Show route to avoid crowded points)
In the above embodiment, an example has been described in which the information processing apparatus 100 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal apparatus 10 that the user has at a timing determined based on the user's future behavior. Here, the information processing apparatus 100 may present a route that avoids the congestion point.

  Specifically, the transmission unit 133 of the information processing device 100 transmits to the terminal device 10 a route that avoids the congestion point indicated by the congestion prediction information together with the congestion prediction information. For example, the information processing apparatus 100 transmits instruction information that causes the terminal device 10 to display a route that uses a route that does not pass through a congestion point included in a route that the user plans to act in the future.

  As described above, the information processing apparatus 100 according to the modified example transmits a route that avoids the congestion point indicated by the congestion prediction information to the terminal device 10 together with the congestion prediction information. Thereby, since the information processing apparatus 100 can display the route which can avoid congestion on the terminal device 10, it can provide useful information for the user.

[2-7. (Display congestion point)
In the above embodiment, an example has been described in which the information processing apparatus 100 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal apparatus 10 that the user has at a timing determined based on the user's future behavior. Here, the information processing apparatus 100 may display the congestion point on the terminal device 10.

  Specifically, the transmission unit 133 of the information processing device 100 transmits the congestion point included in the route indicated by the action schedule information to the terminal device 10 based on the congestion prediction information. For example, the information processing apparatus 100 transmits instruction information for causing the terminal device 10 to display a map in which a congestion point is emphasized among routes that the user plans to act in the future.

  As described above, the information processing apparatus 100 according to the modification transmits the congestion point included in the route indicated by the action schedule information to the terminal apparatus 10 based on the congestion prediction information. Thereby, since the information processing apparatus 100 can display the congestion point on the terminal device 10, the user can easily grasp the congestion point.

[2-8. (Displays the degree of congestion by time)
In the above embodiment, an example has been described in which the information processing apparatus 100 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal apparatus 10 that the user has at a timing determined based on the user's future behavior. Here, the information processing apparatus 100 may display the degree of congestion for each time on the terminal device 10.

  Specifically, the transmission unit 133 of the information processing device 100 transmits the degree of congestion for each time to the terminal device 10 based on the congestion prediction information. For example, the information processing apparatus 100 transmits instruction information for causing the terminal device 10 to display the degree of congestion predicted at the time selected by the user.

  As described above, the information processing apparatus 100 according to the modification transmits the degree of congestion for each time to the terminal apparatus 10 based on the congestion prediction information. Thereby, since the information processing apparatus 100 can display the congestion degree for every time on the terminal device 10, it can improve a user's convenience.

[2-9. (Displays progress of congestion)
In the above embodiment, an example has been described in which the information processing apparatus 100 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal apparatus 10 that the user has at a timing determined based on the user's future behavior. Here, the information processing apparatus 100 may cause the terminal device 10 to display the progress of the degree of congestion.

  Specifically, the transmission unit 133 of the information processing device 100 transmits the transition of the progress degree of the congestion degree to the terminal device 10 based on the congestion prediction information. For example, the information processing apparatus 100 transmits instruction information for causing the terminal apparatus 10 to display a graph representing the relationship between time and the degree of congestion. As an example, the information processing apparatus 100 transmits instruction information that causes the terminal device 10 to display a graph indicating a change in the congestion level of the target congestion point, with the horizontal axis representing time and the vertical axis representing congestion.

  As described above, the information processing apparatus 100 according to the modification transmits the transition of the progress degree of the congestion degree to the terminal apparatus 10 based on the congestion prediction information. Thereby, since the information processing apparatus 100 can display the transition of the progress state of the congestion degree on the terminal device 10, the user can grasp the progress of the congestion degree.

[2-10. Prevents duplicate push notifications)
In the above embodiment, an example has been described in which the information processing apparatus 100 transmits the congestion prediction information extracted by the extraction unit 132 to the terminal apparatus 10 that the user has at a timing determined based on the user's future behavior. Here, the information processing apparatus 100 may transmit instruction information that instructs that push notifications do not overlap.

  Specifically, the transmission unit 133 of the information processing apparatus 100 transmits the congestion prediction information to the terminal device 10 based on the latest action schedule information among the plurality of action schedule information when there are a plurality of user action schedule information. To do. For example, when the user performs a similar search multiple times, the information processing apparatus 100 causes the terminal device 10 to display a push notification including congestion prediction information based on the latest search information among the plurality of search information. Send instruction information.

  As described above, the information processing apparatus 100 according to the modification transmits the congestion prediction information to the terminal device 10 based on the latest action schedule information among the plurality of action schedule information when there are a plurality of user action schedule information. . Thereby, since the information processing apparatus 100 can prevent duplication of push notifications, it is possible to improve user convenience.

[2-11. (Display push notifications according to congestion)
In the above embodiment, the information processing apparatus 100 has been described with an example in which the congestion prediction information is transmitted to the terminal device 10 when the congestion degree indicated by the congestion prediction information is equal to or greater than a predetermined threshold. Here, the information processing apparatus 100 may transmit the congestion prediction information to the terminal apparatus 10 based on a congestion degree threshold set by various types of information.

  For example, the transmission unit 133 of the information processing device 100 transmits the congestion prediction information to the terminal device 10 based on a threshold set for each user. As an example, the information processing apparatus 100 transmits congestion prediction information to the terminal apparatus 10 when the degree of congestion is 120% or more in the case of a user who does not mind a certain degree of congestion. In another example, the information processing apparatus 100 transmits congestion prediction information to the terminal apparatus 10 when the degree of congestion is 20% or more in the case of a user who wants to sit in the vehicle.

  Further, the information processing apparatus 100 may transmit the congestion prediction information to the terminal device 10 based on the regional relativity. For example, in the case of a route passing through an area with a relatively large population such as Tokyo or Osaka, the information processing apparatus 100 transmits congestion prediction information to the terminal apparatus 10 when the congestion degree is 120% or more. On the other hand, the information processing apparatus 100 transmits congestion prediction information to the terminal device 10 when the congestion degree is 100% or more in the case of a route passing through an area where the population is relatively small, such as a rural area.

  As described above, the information processing apparatus 100 according to the modification transmits the congestion prediction information to the terminal apparatus 10 based on the congestion degree threshold set by various types of information. Thereby, since the information processing apparatus 100 can display the congestion prediction information on the terminal device 10 according to the user or the area, it is possible to provide information suitable for the user or the area.

[2-12. (User status)
In the above-described embodiment, the user status is the number of registered screen memos of the user, the number of viewing operation information related to the route included in the route registered in the screen memo by the user, the number of times the application is activated by the user, and the user registers An example in which determination is made based on various types of information such as the presence or absence of a regular route has been described. Here, the status of the user may be determined by the terminal device 10 or may be determined by the information processing device 100.

[2-13. (Applicable)
In the above-described embodiment, an example in which the information processing apparatus 100 provides route congestion prediction information has been described. Here, the information processing apparatus 100 may provide not only route congestion but also various congestion prediction information. For example, the information processing apparatus 100 may transmit congestion prediction information predicted based on a reservation status of a ticket such as an event or a facility such as a hotel to the terminal device 10. Thereby, since the information processing apparatus 100 can provide congestion prediction information based on various information, it can provide useful information to the user.

[2-14. Effect of modification)
As described above, in the information processing apparatus 100 according to the modification, the transmission unit 133 transmits the congestion prediction information to the terminal device 10 based on the time elapsed from the time when the action schedule information is generated. Thereby, since the information processing apparatus 100 according to the modification can display the push notification on the terminal device 10 according to the elapsed time, the user can be notified of congestion related to the user's future behavior at an appropriate timing. it can.

  In the information processing apparatus 100 according to the modification, the transmission unit 133 transmits the congestion prediction information to the terminal device 10 when the user uses an information providing service that provides information related to the user's future behavior.

  In the information processing apparatus 100 according to the modification, the transmission unit 133 transmits congestion prediction information to the terminal device 10 when the user uses a search service that provides a search result as an information providing service.

  Thereby, since the information processing apparatus 100 according to the modification can display the congestion prediction information on the terminal device 10 when the user uses the service, the information on the content related to the user's future behavior is suitable timing. Can be offered at.

  In the information processing apparatus 100 according to the modification, the transmission unit 133 transmits the congestion prediction information to the terminal device 10 at a higher frequency as the amount of user action indicated by the action schedule information increases. Thereby, the information processing apparatus 100 according to the modification can display the push notification on the terminal device 10 according to the amount of action of the user, and thus can provide the congestion prediction information with a frequency suitable for the user.

  In the information processing apparatus 100 according to the modification, the transmission unit 133 transmits the congestion prediction information to the terminal device 10 at a higher frequency as the change in the degree of congestion indicated by the congestion prediction information is larger. Accordingly, the information processing apparatus 100 according to the modification can display the push notification on the terminal device 10 at a frequency according to the change in the degree of congestion, so that the user can grasp the degree of importance of the congestion prediction information for the user. be able to.

  In the information processing apparatus 100 according to the modification, the transmission unit 133 transmits a route that avoids the congestion point indicated by the congestion prediction information to the terminal device 10 together with the congestion prediction information. Thereby, since the information processing apparatus 100 according to the modification can display a route that can avoid congestion on the terminal device 10, it is possible to provide useful information for the user.

  Further, in the information processing apparatus 100 according to the modification, the transmission unit 133 transmits, to the terminal device 10, information related to the congestion point included in the route indicated by the action schedule information based on the congestion prediction information. Thereby, since the information processing apparatus 100 according to the modification can display the congestion point on the terminal device 10, the user can easily grasp the congestion point.

  In the information processing apparatus 100 according to the modification, the transmission unit 133 transmits the degree of congestion for each time to the terminal device 10 based on the congestion prediction information. Thereby, since the information processing apparatus 100 according to the modification can display the degree of congestion for each time on the terminal device 10, it is possible to improve user convenience.

  In the information processing apparatus 100 according to the modification, the transmission unit 133 transmits the transition of the progress degree of the congestion degree to the terminal device 10 based on the congestion prediction information. Thereby, since the information processing apparatus 100 according to the modification can display the transition of the progress degree of the congestion degree on the terminal device 10, the user can grasp the progress of the congestion degree.

  In the information processing apparatus 100 according to the modification, the transmission unit 133 transmits the congestion prediction information based on the latest action schedule information among the plurality of action schedule information when there are a plurality of action schedule information of the user. Send to. Thereby, since the information processing apparatus 100 according to the modification can prevent duplication of push notifications, it is possible to improve user convenience.

[3. Others]
In addition, among the processes described in the above embodiment, all or part of the processes described as being automatically performed can be performed manually, or the processes described as being performed manually can be performed. All or a part can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

  For example, the action schedule information storage unit 121 illustrated in FIG. 2 may be stored in a storage server or the like without being stored in the information processing apparatus 100. In this case, the information processing apparatus 100 acquires information on the user's future behavior by accessing the storage server.

  Further, the information processing apparatus 100 may be an information processing apparatus that performs only the extraction process without performing the transmission process. In this case, the information processing apparatus does not have the transmission unit 133. And the transmission apparatus which has the transmission part 133 transmits the congestion prediction information extracted by the extraction part 132 to the terminal device 10 which a user has at the timing decided based on a user's future action.

  Further, the information processing apparatus 100 according to the embodiment described above is realized by a computer 1000 having a configuration as shown in FIG. 14, for example. Hereinafter, the information processing apparatus 100 will be described as an example. FIG. 14 is a hardware configuration diagram illustrating an example of a computer 1000 that implements the functions of the information processing apparatus 100. The computer 1000 includes a CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and media interface (I / F) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400 and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from other devices via the network N and sends the data to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via the network N.

  The CPU 1100 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. Further, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disk) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. It is.

  For example, when the computer 1000 functions as the information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the function of the control unit 130 by executing a program loaded on the RAM 1200. The HDD 1400 stores data in the storage unit 120. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them. However, as another example, these programs may be acquired from other devices via the network N.

  As described above, some of the embodiments of the present application have been described in detail with reference to the drawings. However, these are merely examples, and various modifications based on the knowledge of those skilled in the art, including the aspects described in the Summary of Invention section. It is possible to implement the present invention in other forms with improvements.

  In addition, the information processing apparatus 100 described above may be realized by a plurality of server computers, and depending on the function, an external platform or the like may be realized by calling an API (Application Programming Interface) or network computing. Can be changed flexibly.

  Further, “section (module, unit)” described in the claims can be read as “means”, “circuit”, and the like. For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

DESCRIPTION OF SYMBOLS 1 Notification system 10 Terminal apparatus 50 Information provision server 100 Information processing apparatus 150 Notification server 121 Action plan information storage part 122 Congestion prediction information storage part 123 User information storage part 131 Acquisition part 132 Extraction part 133 Transmission part

Claims (17)

An acquisition unit for acquiring action schedule information indicating a user's future action;
Based on the action schedule information acquired by the acquisition unit, an extraction unit that extracts the congestion prediction information related to the user's future behavior from the congestion prediction information predicted from the past behavior history;
An information processing apparatus comprising: a transmission unit configured to transmit congestion prediction information extracted by the extraction unit to a terminal device possessed by the user at a timing determined based on a future action of the user. The transmitter is
The information processing apparatus according to claim 1, wherein the congestion prediction information extracted by the extraction unit is transmitted to the terminal device a predetermined time before the time at which the user is scheduled to perform the future action. . The transmitter is
The information processing apparatus according to claim 1, wherein instruction information for causing the terminal device to display a push notification including the congestion prediction information extracted by the extraction unit is transmitted. The acquisition unit
As the action schedule information, the search information specified by specifying the place where the user is scheduled to visit in the future and the time when the user is scheduled to visit the place is acquired,
The extraction unit includes:
The information processing apparatus according to any one of claims 1 to 3, wherein congestion prediction information relating to a location indicated by search information acquired by the acquisition unit is extracted. The transmitter is
The information processing apparatus according to any one of claims 1 to 4, wherein the congestion prediction information is transmitted to the terminal device when a congestion degree indicated by the congestion prediction information is equal to or greater than a predetermined threshold. The transmitter is
The information processing apparatus according to claim 1, wherein the congestion prediction information is transmitted to the terminal device based on a time elapsed from the time when the action schedule information is generated. The transmitter is
The said congestion prediction information is transmitted to the said terminal device, when the said user uses the information provision service which provides the information regarding a user's future action. The terminal device as described in any one of Claims 1-6 characterized by the above-mentioned. Information processing device. The transmitter is
The information processing apparatus according to claim 7, wherein the congestion prediction information is transmitted to the terminal device when the user uses a search service that provides a search result as the information providing service. The transmitter is
The information processing apparatus according to any one of claims 1 to 8, wherein the congestion prediction information is transmitted to the terminal device at a higher frequency as the amount of action of the user indicated by the action schedule information increases. The transmitter is
The information processing apparatus according to claim 1, wherein the congestion prediction information is transmitted to the terminal device at a higher frequency as the change in the congestion degree indicated by the congestion prediction information is larger. The transmitter is
The information processing apparatus according to claim 1, wherein a route that avoids a congestion point indicated by the congestion prediction information is transmitted to the terminal device together with the congestion prediction information. The transmitter is
The information processing apparatus according to any one of claims 1 to 11, wherein information related to a congestion point included in a route indicated by the action schedule information is transmitted to the terminal apparatus based on the congestion prediction information. The transmitter is
The information processing apparatus according to any one of claims 1 to 12, wherein a congestion degree for each hour is transmitted to the terminal apparatus based on the congestion prediction information. The transmitter is
The information processing device according to any one of claims 1 to 13, wherein a transition of a progress state of the congestion degree is transmitted to the terminal device based on the congestion prediction information. The transmitter is
The congestion prediction information is transmitted to the terminal device based on the latest action schedule information among the plurality of action schedule information when there are a plurality of the action schedule information of the user. The information processing apparatus according to any one of the above. An information processing method executed by an information processing apparatus,
An acquisition step of acquiring action schedule information indicating a user's future action;
Based on the action schedule information acquired by the acquisition step, an extraction step of extracting congestion prediction information related to the user's future behavior from the congestion prediction information predicted from the past behavior history;
A transmission step of transmitting congestion prediction information extracted by the extraction step to a terminal device possessed by the user at a timing determined based on a future action of the user. An acquisition procedure for acquiring action schedule information indicating a user's future action,
Based on the action schedule information acquired by the acquisition procedure, an extraction procedure for extracting congestion prediction information related to the future behavior of the user from the congestion prediction information predicted from the past action history;
An information processing program causing a computer to execute a transmission procedure for transmitting congestion prediction information extracted by the extraction procedure to a terminal device possessed by the user at a timing determined based on a future action of the user.

Images