JP2020030803A - Device, method, and program for processing information - Google Patents

Abstract

To provide a device, method and program for processing information, which allow for notifying information on available spaces to vehicles traveling in a parking lot.SOLUTION: An information processing device of the present invention includes a determination unit and a notification unit. The determination unit determines whether vehicles traveling in a parking lot are going to park or exit. The notification unit notifies vehicles determined to be intending to park in the parking lot of available space information regarding empty parking spaces in the parking lot. Further, the notification unit notifies vehicles that intend to park in the parking lot and has come across a vehicle(s) intending to exit the parking lot, of information on each of locations of parking spaces that have been occupied by the vehicles intending to exit the parking lot.SELECTED DRAWING: Figure 1

Description

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

  2. Description of the Related Art Conventionally, when performing navigation (hereinafter, also referred to as “guidance”) using an in-vehicle terminal, a mobile terminal, or the like, a technology for displaying information about an empty space in a parking lot attached to a facility such as a store is known.

JP-A-6-215298

  However, according to the above-described conventional technology, it is only possible to acquire information on an empty space of a parking lot when entering through a gate or the like. Therefore, when the notified empty space is filled after entering, there is a problem that it takes time to search for an additional empty space in the parking lot.

  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 that can notify a vehicle traveling in a parking lot of information about an empty space. And

  An information processing device according to the present application includes a determination unit and a notification unit. The determination unit determines whether the vehicle in the parking lot parks or leaves. The notifying unit notifies the vehicle to be parked in the parking lot determined by the determining unit of the empty space information on the vacant parking space in the parking lot. In addition, the notifying unit is limited to vehicles passing through the parking lot and vehicles passing through the parking lot and passing through the parking lot. The information about the position of the parking space is notified as the empty space information.

  According to an aspect of the embodiment, it is possible to provide an information processing apparatus, an information processing method, and an information processing program that can notify a vehicle traveling in a parking lot of information about an empty space.

FIG. 1 is an explanatory diagram illustrating an example of an information processing method according to the embodiment. FIG. 2 is an explanatory diagram illustrating an example of a configuration of the information processing apparatus according to the embodiment. FIG. 3 is an explanatory diagram illustrating an example of a parking lot database according to the embodiment. FIG. 4 is an explanatory diagram illustrating an example of the vehicle database according to the embodiment. FIG. 5 is an explanatory diagram illustrating an example of a user database according to the embodiment. FIG. 6 is a flowchart illustrating a process executed by the control unit of the information processing apparatus according to the embodiment. FIG. 7 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the information processing apparatus according to the embodiment.

  Hereinafter, an information processing apparatus, an information processing method, and a mode for executing an information processing program according to the present application (hereinafter, referred to as “embodiments”) will be described in detail with reference to the drawings. The information processing apparatus, the information processing method, and the information processing program according to the present application are not limited by the embodiment. In addition, the embodiments can be appropriately combined within a range that does not contradict processing contents. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description will be omitted.

[1. Information processing method)
First, an information processing method performed by the information processing apparatus 1 according to the embodiment will be described. FIG. 1 is an explanatory diagram illustrating an example of an information processing method according to the embodiment. The information processing apparatus 1 is an information processing apparatus such as a server that transmits and receives various information to and from the vehicle C via a network N such as the Internet (see FIG. 2).

  The vehicle C is a vehicle such as a car and a motorcycle driven by the user. Further, the vehicle C has a terminal device capable of communicating with the information processing device 1, and transmits probe data indicating the speed and position of the vehicle C to the information processing device 1.

  The terminal device of the vehicle C is a terminal device used by a user who uses various services. For example, as the terminal device, an arbitrary information processing device such as a tablet terminal, a PC, a PDA, a smartphone, and a car navigation system mounted on a vehicle is applied.

  In addition, such terminal devices include wireless communication networks such as 3G (Generation), 4G, LTE (Long Term Evolution), GSM (registered trademark) (Global System for Mobile Communications), Bluetooth (registered trademark), and wireless LAN (Local LAN). It can connect to the network N via short-range wireless communication such as an Area Network) and communicate with the information processing apparatus 1.

  Then, as shown in FIG. 1A, the information processing apparatus 1 is a user who uses a target parking lot P via a network N or the like, that is, a user who uses a facility F associated with the parking lot P. Or information indicating an event that may affect the action (hereinafter, also referred to as “action information”) (step S1).

  For example, as shown in FIG. 1A, a beacon (Beacon) B is installed at a predetermined location (for example, beside a cash register or an exit) in a target facility F. Then, for example, when the user passes near the beacon B, the information processing apparatus 1 acquires information indicating that the user has passed as behavior information.

  Next, the information processing device 1 predicts the timing at which the vehicle C1 parked in the parking lot P among the vehicles C leaves the parking lot P based on the acquired behavior information (step S2). For example, when the information processing apparatus 1 obtains information indicating that two users have passed from the beacon B installed beside the cash register of the facility F, the information processing apparatus 1 reads “two vehicles C1 parked by the user and parks 10 minutes later. You will leave the car park P. "

  When the information processing apparatus 1 acquires information indicating that one user has passed from the beacon B installed at the exit of the facility F, the information processing apparatus 1 reads “one vehicle C1 parked by the user, and the parking lot P after 5 minutes. You will be sent out. " This is because a user who passes by a cash register or exits can be expected to leave the facility F soon, that is, to get out of the parking lot P soon after getting on the vehicle C.

  Next, based on the timing at which the vehicle C1 is predicted to leave the parking lot P, the information processing apparatus 1 provides information on the timing at which the parking lot P can be vacant with respect to the vehicle C2 waiting for parking at the parking lot P. Is provided (step S3).

  For example, the information processing device 1 can provide the information that "the parking lot P is available after 5 minutes" to the leading vehicle C2 among the vehicles C2 waiting for parking. In addition, the information processing device 1 may provide information indicating that “the parking lot P is available after 10 minutes” to the second and third vehicles C2 that are waiting for parking. it can. The order of the vehicles C2 waiting for parking can be detected based on the position information of the vehicles C2 and the like.

  As described above, in the embodiment, the timing at which the vehicle C1 parked by the user leaves the parking lot P is predicted based on the information indicating the behavior of the user using the facility F. This makes it possible to predict the timing at which a vacant parking space P becomes full.

  Note that, in the example shown here, the case where the information from the beacon B is used as the information indicating the behavior of the user (that is, the behavior information), but the behavior information indicating the behavior of the user is not transmitted from the beacon B. Not limited to information. The behavior information may be information indicating an event that may affect the behavior of the user. Examples of other action information will be described later.

  In the embodiment, the timing at which the vehicle C1 in which the user has parked leaves the parking lot P is predicted based on information obtained from places other than the parking lot P such as the beacon B. As a result, the vehicle is in a full state as compared with a case where the vehicle C is predicted based on information obtained from the parking lot P itself, such as predicting a timing at which the vehicle C exits from the parking lot P based on an average value of time intervals for leaving the vehicle. The timing at which the parking lot P becomes available can be more accurately predicted.

  Subsequently, as shown in FIG. 1B, the vehicle C1a of the parked vehicle C1 departs from the parking space of the parking lot P, and the parked parking space becomes the empty space E. Further, with the departure of the vehicle C1a, the vehicle C2a among the vehicles C2 waiting for parking in the parking lot P enters the parking lot P.

  Here, the information processing device 1 determines whether the vehicle C in the parking lot P parks or leaves (step S4). For example, the information processing device 1 determines whether the vehicle C traveling in the parking lot P is parked or exits based on a use flag indicating whether the user driving the vehicle C is using the facility F. I do.

  In this case, since the use flag of the user driving the vehicle C1a is a value indicating use (for example, “1”), the information processing device 1 determines that the vehicle C1a is the vehicle that is going to leave the parking lot P. I do. Further, since the use flag of the user driving the vehicle C2a is a value indicating that the vehicle C2a is not used (for example, “0”), the information processing device 1 determines that the vehicle C2a is a vehicle that is to be parked in the parking lot P. I do.

  Then, the information processing device 1 provides information on a parking space that is vacant in the parking lot P to a vehicle C2a that is to park in the parking lot P among the vehicles C in the parking lot P (hereinafter, “vacant space”). (Also referred to as "space information") (step S5). For example, the information processing device 1 notifies the vehicle C2a of information on the position of the parking space (that is, the empty space E) where the vehicle C1a to be exited is parked as empty space information.

  As described above, in the embodiment, it is determined whether the vehicle C in the parking lot P is parked or exits, and the vehicle C2a to be parked in the parking lot P is parked in the parking lot P. Report free space information about the space. This allows the vehicle C2a to be parked in the parking lot P to smoothly reach the empty space E.

  In the example shown here, it is determined whether the vehicle C parks or leaves based on the use flag indicating whether the user is using the facility F. However, the use flag is determined as a determination unit. It is not limited to the example used. Examples of other determination means will be described later.

  In the embodiment, among the vehicles C in the parking lot P, information on the empty space E is notified only to the vehicle C2a to be parked. Thereby, it is possible to prevent the vehicle C <b> 1 a intending to leave the parking lot P from notifying the information regarding the empty space E.

  Therefore, according to the embodiment, since it is possible to suppress notification of unnecessary information to the vehicle C1a, it is possible to suppress the user who drives the vehicle C1a from being uncomfortable.

  In the embodiment, information on the position of the empty space E where the vehicle C1a about to leave the parking lot P is parked is notified to the vehicle C2a as empty space information. As a result, it is possible to notify the vehicle C2a that is about to park the information about the newly created empty space E. Therefore, according to the embodiment, it is possible to prevent the notified empty space E from being filled after being notified.

  Further, in the embodiment, among the vehicles C to be parked in the parking lot P, the empty space information may be notified only to the vehicle C2a passing by the vehicle C1a to be exited. In this way, by limiting and notifying the information on the position of one empty space E, it is possible to prevent a plurality of vehicles C from rushing to park in one empty space E. Therefore, according to the embodiment, it is possible to suppress confusion in the parking lot P.

[2. Configuration of information processing device]
Next, a configuration of the information processing apparatus 1 according to the embodiment will be described with reference to FIG. FIG. 2 is an explanatory diagram illustrating an example of a configuration of the information processing device 1 according to the embodiment. As shown in FIG. 2, the information processing apparatus 1 includes a communication unit 11, a storage unit 12, and a control unit 13. The information processing device 1 includes an input unit (for example, a keyboard and a mouse) for receiving various operations from an administrator or the like using the information processing device 1, and a display unit (for example, a liquid crystal display) for displaying various information. Etc.).

(About the communication unit 11)
The communication unit 11 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 11 is connected to the network N by wire or wirelessly, and transmits and receives information to and from a terminal device mounted on the vehicle C via the network N.

(About the storage unit 12)
The storage unit 12 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. As illustrated in FIG. 2, the storage unit 12 includes a parking lot database 121, a vehicle database 122, and a user database 123.

(About parking lot database 121)
The parking lot database 121 is a database in which information on parking lots for estimating the timing at which a vacancy is made is registered. FIG. 3 is an explanatory diagram illustrating an example of the parking lot database 121 according to the embodiment. As shown in FIG. 3, in the parking lot database 121, a parking lot ID, position information, the number of empty parking spaces, facility information, and the number of passing the check flag are registered in association with each other. .

  Here, the parking lot ID is an identifier for identifying the parking lot. In addition, the parking lot database 121 may store the name of the parking lot, etc. together with the parking lot ID. The position information is information indicating the position of the parking lot indicated by the associated parking lot ID.

  The number of empty parking spaces is information indicating the number of empty parking spaces in the parking lot indicated by the associated parking lot ID. The facility information is information indicating a facility associated with the parking lot indicated by the associated parking lot ID. Also, the number of passing check flags indicates the number of times that the user has passed various check flags (for example, beacons B) installed at various places of the facility associated with the parking lot indicated by the associated parking lot ID. Information.

(About the vehicle database 122)
The vehicle database 122 is a database in which information of vehicles to which the empty space information of the parking lot is notified is registered. FIG. 4 is an explanatory diagram illustrating an example of the vehicle database 122 according to the embodiment. As shown in FIG. 4, the vehicle ID, the position information, the speed information, the departure place, and the destination are registered in the vehicle database 122 in association with each other.

  Here, the vehicle ID is an identifier for identifying the vehicle. The vehicle database 122 may store a vehicle number, a vehicle type, and the like in addition to the vehicle ID. The position information is information indicating the position of the vehicle indicated by the associated vehicle ID. The speed information is information indicating the speed of the vehicle indicated by the associated vehicle ID.

  The departure place is information indicating the departure place of the vehicle indicated by the associated vehicle ID. The destination is information indicating the destination of the vehicle indicated by the associated vehicle ID.

  The above-described position information and speed information are information included in probe data transmitted at predetermined time intervals from a terminal device mounted on a vehicle. Further, the above-mentioned departure place and destination are registered in the vehicle database 122 when the departure place and destination are set by the user when the terminal device mounted on the vehicle performs the user guidance process.

(About the user database 123)
The user database 123 is a database in which information on users who visit facilities by driving a vehicle is registered. FIG. 5 is an explanatory diagram illustrating an example of the user database 123 according to the embodiment. As shown in FIG. 5, the user database 123 has registered therein a user ID, position information, a use flag, and a vehicle ID in association with each other.

  Here, the user ID is an identifier for identifying the user. The user database 123 may store the name of the user, attribute information indicating the attribute of the user (demographic attribute or psychographic attribute), or the like, in addition to the user ID.

  The position information is information indicating the position of the user indicated by the associated user ID. Such position information can be acquired, for example, from a mobile terminal such as a smartphone owned by the user indicated by the associated user ID.

  The use flag is information indicating whether or not the user indicated by the associated user ID has used various facilities from before a predetermined time to the present time. For example, when the user indicated by the user ID is using the facility, the information processing apparatus 1 registers the facility with the use flag “1” in association with the facility, and the user indicated by the user ID does not use the facility. In this case, a use flag “0” is registered in association with such a facility. The vehicle ID is an identifier for identifying a vehicle driven by the user indicated by the associated user ID.

(About the control unit 13)
The control unit 13 is a controller, for example, various programs stored in a storage device inside the information processing apparatus 1 (for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit)). (Corresponding to an example) is executed by using the RAM as a work area. The control unit 13 is, for example, a controller, and is realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

  As shown in FIG. 2, the control unit 13 includes a collection unit 131, an acquisition unit 132, a prediction unit 133, a provision unit 134, a determination unit 135, and a notification unit 136, and performs information processing described below. Implement or execute the functions and actions of. The internal configuration of the control unit 13 is not limited to the configuration illustrated in FIG. 2 and may be another configuration as long as the configuration performs information processing described below.

(About the collection unit 131)
The collection unit 131 collects probe data from a terminal device mounted on the vehicle C. Then, the collecting unit 131 updates the position information and the speed information of the vehicle database 122 based on the probe data collected from the terminal device.

  Further, the collection unit 131 collects history information on the user using the facility F. For example, the collection unit 131 collects a user's purchase history and the like as history information from a POS (point of sales) system of the facility F which is a store. Then, when such history information can be collected, the collection unit 131 updates the use flag of the user database 123 to “1”. On the other hand, when such history information cannot be collected, the collection unit 131 updates the use flag of the user database 123 to “0”.

(About the acquisition unit 132)
The acquisition unit 132 acquires, via the network N, information indicating the behavior of a user who uses the facility F to which the parking lot P is attached, or information indicating an event that may affect the behavior (that is, behavior information). For example, the acquisition unit 132 uses, as the behavior information, the number of users who have passed the vicinity of a check flag (for example, a beacon B) installed at a predetermined location (for example, beside a cash register or an exit) of the facility F. get. Then, the acquisition unit 132 registers in the parking lot database 121 the number of users who have passed the vicinity of the check flag, which is the acquired behavior information.

(About the prediction unit 133)
The prediction unit 133 predicts the timing at which the vehicle C1 parked in the parking lot P among the vehicles C leaves the parking lot P based on the behavior information acquired by the acquisition unit 132. The prediction unit 133 may determine, for example, the timing at which the vehicle C1 exits the parking lot P based on the location of the check flag from which the behavior information has been acquired and the number of users who have passed near the check flag. Can be predicted with the number of vehicles C1 leaving.

  For example, a check flag (for example, a beacon B installed at an exit) that is predicted to exit from the parking lot P after 5 minutes and a check flag that is predicted to exit from the parking lot P after 10 minutes (for example, beside a cash register) A beacon B) and a check flag (for example, a beacon B installed on a commodity shelf near a cash register) predicted to leave the parking lot P after 15 minutes are provided in the facility F in a stepwise manner.

  When two users pass near the check flag predicted to leave after 5 minutes and eight users pass near the check flag predicted to leave after 10 minutes, the prediction unit 133 It can be predicted that two vehicles C1 leave the parking lot P after 5 minutes and eight vehicles C1 leave the parking lot P after 10 minutes.

  Thus, by providing the check flag in the facility F in stages, the prediction unit 133 can more accurately predict the timing at which the vehicle C1 parked in the parking lot P leaves the parking lot P.

  The prediction unit 133 can predict the timing at which the vehicle C1 parked by the user leaves the parking lot P, based on the distance between the place where the user has acted and the parking lot P. In addition, the prediction unit 133 determines the timing at which the vehicle C1 parked by the user exits the parking lot P based on the distance between the location where the user has acted and the location where the user has parked the vehicle C1 in the parking lot P. May be predicted. Furthermore, the prediction unit 133 predicts the timing at which the vehicle C1 parked by the user leaves the parking lot P based on the distance from the place where the user has parked the vehicle C1 in the parking lot P to the exit of the parking lot P. You may.

  As described above, by predicting the timing at which the vehicle C1 leaves the parking lot P based on the distance between the respective places in the facility F and the parking lot P, it is possible to more accurately predict the timing at which the parking lot P becomes available. Can be.

  Further, the prediction unit 133 may predict the timing at which the vehicle C1 parked by the user leaves the parking lot P based on the direction in which the user moves in the facility F or the parking lot P. Thereby, it is possible to more accurately predict the timing at which the parking lot P becomes available. In addition. The moving direction of the user can be obtained from a mobile terminal such as a smartphone owned by the user.

  Further, the prediction unit 133 generates a model by statistically analyzing the behavior of the user in the facility F or the parking lot P, and based on the modeled information, the vehicle C1 in which the user has parked the parking lot. The timing of leaving P may be predicted. For example, when a certain user has exited the parking lot P 7 minutes after passing the cash register of the facility F in many past patterns, and the user has passed the cash register, the prediction unit 133 sets “ One parked vehicle C1 exits the parking lot P after 7 minutes. "

  Further, the prediction unit 133 generates a model by statistically analyzing the actions of a plurality of users who have visited the facility F in the past, and based on the modeled statistical information, the vehicle C1 in which the user has parked is determined. The timing of exiting from the parking lot P may be predicted. For example, by statistically analyzing the behaviors of a plurality of users who have visited the facility F in the past, "from 11:45 to 12:00 to go for lunch, two out of the total visitors according to the normal distribution are obtained. It is assumed that statistical information that "a comparative user leaves the parking lot P" is modeled. If there are 300 visitors to the facility F at 11:30, the prediction unit 133 determines, based on the modeled statistical information, “the vehicle C1 in which the user has parked between 11:45 and 12:00. 60 will exit the parking lot P. "

  The plurality of users to be analyzed when generating the modeled statistical information and the user to be predicted for exiting from the parking lot P may not be the same.

  Further, the prediction unit 133 estimates the state of the user based on the behavior information acquired by the acquisition unit 132, and based on the estimated state of the user, the timing at which the vehicle C1 parked by the user leaves the parking lot P. May be predicted. That is, the prediction unit 133 may estimate the context information of the user based on the behavior information, and may predict the timing at which the vehicle C1 parked by the user leaves the parking lot P based on the context information.

  For example, from the beacon B installed in the facility F, the acquisition unit 132 determines that “the user has passed in front of the ice cream shop”, “the user has passed in front of the restaurant”, and “the user has passed in front of the florist”. Is obtained continuously. In this case, the prediction unit 133 estimates the moving direction and the moving speed of the user based on the positions of the ice cream shop, the restaurant, and the flower shop in the facility F. Then, the prediction unit 133 can predict the timing at which the vehicle C1 in which the user has parked leaves the parking lot P based on the estimated moving direction and moving speed of the user.

  In this way, by estimating the context information of the user based on the acquired behavior information and predicting the timing at which the vehicle C1 leaves the parking lot P based on the context information, the timing at which the parking lot P can be vacant is determined. More accurate prediction can be made.

(About the providing unit 134)
The providing unit 134 is based on the timing at which the vehicle C1 exits from the parking lot P predicted by the prediction unit 133, and information on the timing at which the vehicle C2 waiting for parking in the parking lot P can be vacant in the parking lot P. I will provide a.

  For example, when the prediction unit 133 predicts that “two vehicles C1 leave the parking lot P after 5 minutes and eight vehicles C1 leave the parking lot P after 10 minutes”, the providing unit 134 For the vehicles C2 arranged from the first to the second, the information that "the parking lot P is available after 5 minutes" is provided, and for the vehicles C2 arranged from the third to the tenth, "10 minutes later, The information that "the parking lot P has an empty space" can be provided.

  In this way, by providing the check flag in the facility F stepwise, the providing unit 134 can more accurately provide the vehicle C2 waiting for parking to the timing at which the vehicle can be parked in the parking lot P. .

(About the discriminating unit 135)
The determination unit 135 determines whether the vehicle C in the parking lot P parks or leaves. For example, the determining unit 135 determines whether the vehicle C driven by the target user is parked or leaves based on the value of the use flag registered in the user database 123.

  For example, the determination unit 135 determines that the vehicle C of the user whose use flag of the facility F associated with the parking lot P is “1” is the vehicle C1a that wants to leave the parking lot P. Further, the determination unit 135 determines that the vehicle C of the user whose use flag of the facility F associated with the parking lot P is “0” is the vehicle C2a that is to park in the parking lot P.

(About the notification unit 136)
The notification unit 136 notifies the vehicle C2a of the vehicles C in the parking lot P that is going to park in the parking lot P of information about the vacant parking space in the parking lot P. For example, the notification unit 136 notifies the vehicle C2a of information on the position of the parking space where the vehicle C1a about to leave the parking lot P is parked as free space information.

  In addition, the notification unit 136 can detect the position of the parking space where the vehicle C1a is parked, based on the probe data collected from the terminal device mounted on the vehicle C1a.

  In addition, the notification unit 136 can notify the empty space information only to the vehicle C2a that has passed the vehicle C1a that is about to exit from the vehicles C that are going to park in the parking lot P. Thereby, it is possible to suppress confusion in the parking lot P.

  In addition, the notification unit 136 detects that the vehicle C1a about to leave the vehicle C2a and the vehicle C2a about to park based on the probe data collected from the terminal devices mounted on the vehicle C1a and the vehicle C2a. Can be.

  Further, the position of the parking space where the vehicle C1a is parked or the fact that the vehicle C1a and the vehicle C2a pass each other are not limited to the case where the detection is performed based on the probe data. The detection may be performed based on information from a sensor or the like.

  In addition, the notification unit 136 determines whether or not the vehicle C1a that is about to leave the parking lot P does not pass the vehicle C2a that is about to park at the parking lot P for a predetermined time or more. May be notified of the free space information.

  As described above, when the vehicle C1a has not passed the vehicle C2a to be parked in the parking lot P for a predetermined time or more, it is estimated that there is no vehicle C2a to be parked near the empty space E. Therefore, by notifying the empty space information to all the vehicles C2a, the empty space E can be efficiently filled, and the number of vehicles C2a running in the parking lot P can be reduced. Therefore, according to the embodiment, it is possible to prevent the parking lot P from being confused.

  In addition, when the vehicle C1a about to exit from the parking lot P exits without passing the vehicle C2a about to park at the parking lot P, the notification unit 136 sends the vehicle C2a that enters afterwards to park at the parking lot P. It is good to notify the free space information.

  As described above, when the vehicle C1a does not pass the vehicle C2a that is to park until the vehicle leaves the parking lot P, it is estimated that there is no vehicle C2a that is to park near the empty space E. Therefore, by notifying the empty space information to the vehicle C2a entering afterwards to park, the empty space E can be efficiently filled, and the number of vehicles C2a running in the parking lot P can be reduced. Therefore, according to the embodiment, it is possible to prevent the parking lot P from being confused.

  In addition, the notification unit 136 provides the parking lot P with a vehicle C that is about to visit the parking lot P from now on, or the number of vehicles C traveling in the parking lot P (that is, the number of vehicles C1a and the May be notified. That is, the notification unit 136 may notify the vehicle C who is about to visit the parking lot P of the congestion state of the parking lot P.

[3. Modification)
The information processing apparatus 1 according to the above-described embodiment may be implemented in various different forms other than the above-described embodiment. Therefore, another embodiment of the information processing apparatus 1 will be described below.

[3-1. Acquisition of behavior information from POS system)
When the user passes near the beacon B installed in the facility F, the information processing apparatus 1 described above acquires information indicating that the user has passed as behavior information. However, embodiments are not limited to this. For example, the information processing device 1 may acquire various types of information obtained from the POS system of the facility F as behavior information.

  For example, every time the user pays for shopping at the cashier of the facility F, the information processing apparatus 1 acquires information indicating that the purchase has been paid out from the POS system of the facility F as behavior information. Accordingly, the information processing apparatus 1 can predict, for example, that "one vehicle C1 of the user who paid for shopping leaves the parking lot P after 5 minutes". The reason is that a user who has settled the shopping at the cash register can predict that the user will soon get out of the parking lot P by riding the vehicle C.

  Further, every time the user orders a replacement ball at the facility F which is a ramen shop, the information processing apparatus 1 acquires information indicating that the replacement ball has been ordered from the POS system of the facility F as behavior information. Thereby, the information processing apparatus 1 can predict, for example, that "one vehicle C1 of the user who ordered the replacement ball leaves the parking lot P in five minutes." This is because a user who has ordered a substitute can predict that the user will soon get out of the parking lot P by riding the vehicle C.

  Further, in the POS system of the facility F, when it is known in real time where the item on the shelf has been taken, if the position of the shelf from which the item has been taken approaches the cash register, the information processing apparatus 1 may, for example, read “the item near the cash register”. The vehicle C1 of the user who took the vehicle leaves the parking lot P 15 minutes later. "

  As described above, the information processing apparatus 1 can acquire various types of information obtained from the POS system of the facility F as behavior information. The behavior information that can be obtained from the POS system of the facility F is not limited to the above example, and other information obtained from the POS system may be obtained as the behavior information.

[3-2. Acquisition of behavior information from various sensors)
Further, the information processing device 1 may acquire information obtained from various sensors as behavior information. For example, a human sensor that can detect that a user has entered is installed in the last area of the facility F that is a haunted house.

  Then, when the human sensor detects that one user has entered the last area, the information processing apparatus 1 determines, based on information obtained from the human sensor, "the user who entered the final area. One vehicle C1 exits the parking lot P after 10 minutes. " This is because a user who has entered the last area of the haunted house can predict that the user will soon get out of the parking lot P by riding the vehicle C.

  Further, for example, a biometric sensor capable of sensing the weight is attached to a user using the facility F. Then, when the biometric sensor detects that one user has a heavy object, the information processing apparatus 1 determines, based on information obtained from the biometric sensor, that “the vehicle C1 of the user having the heavy One car will leave the parking lot P after 10 minutes. " This is because a user having a heavy object can predict that he / she will soon load a heavy object into the vehicle C and leave the parking lot P.

  As described above, the information processing apparatus 1 can acquire information obtained from various sensors as behavior information. The sensor that can obtain the behavior information is not limited to the above example, and information obtained from other sensors may be acquired as the behavior information.

[3-3. Prediction of exit timing based on departure point)
Further, the information processing device 1 may predict the exit timing of the vehicle C parked in the parking lot P based on the departure place of the vehicle C registered in the vehicle database 122. For example, if the departure place of the vehicle C that has visited the facility F, which is an amusement park in Chiba Prefecture, is Hokkaido and the next day is a weekday, the information processing apparatus 1 may read, for example, "one vehicle C1 visited from Hokkaido, At 4 o'clock, we will leave the parking lot P. " This is because, when the next day is a weekday, it is possible to predict that the vehicle C coming from a distant place is unlikely to remain until late and is likely to leave by the evening.

  On the other hand, if the departure place of the vehicle C that has visited the facility F, which is an amusement park in Chiba Prefecture, is Saitama Prefecture, and the next day is a weekday, the information processing apparatus 1 will read, for example, "One vehicle C1 visited from Saitama Prefecture. The car leaves the parking lot P at 8:00 pm ". This is because it is predicted that the vehicle C coming from a nearby place is unlikely to leave early even if the next day is a weekday, and is likely to remain until night.

  As described above, the information processing apparatus 1 acquires the departure place of the vehicle C and the location of the facility F as behavior information, and determines the exit timing of the vehicle C based on the departure place of the vehicle C and the location of the facility F. Can be predicted.

[3-4. Prediction of Exit Timing Based on User's Voluntary Behavior]
In addition, the information processing device 1 may predict the exit timing of the vehicle C that is parked in the parking lot P based on a voluntary action performed by the user. For example, a terminal for giving points is provided near the exit of the facility F, and a service is provided in which a user is given points when checking in when leaving the facility. When one user checks in and obtains points, the information processing device 1 determines, based on the checked-in information, that “one vehicle C1 of the checked-in user is in the parking lot 5 minutes later. You leave P ".

  In addition, the information processing apparatus 1 may predict the exit timing of the vehicle C that is parked in the parking lot P, based on the behavior of the user spontaneously performed on the web. For example, when a user who has visited facility F, which is a large shopping mall, has previously searched for information on an event to be performed at facility F on the web, information processing apparatus 1 may display, for example, "user's vehicle C1 is 1". The car leaves the parking lot P 10 minutes after the event end time. " This is because a user who has checked the event information in advance can predict that the user will get out of the parking lot P on the vehicle C as soon as the event ends.

  As described above, the information processing apparatus 1 acquires the spontaneous action caused by the user as the action information, and determines the exit timing of the vehicle C parked in the parking lot P based on the spontaneous action caused by the user. Can be predicted.

[3-5. Prediction of exit timing based on information other than information attributable to the user]
Further, the information processing device 1 may predict the exit timing based on information other than the information attributed to the user. For example, the information processing device 1 may predict the timing at which the vehicle C1 in which the user has parked leaves the parking lot P based on information indicating an event that may affect the behavior of the user.

  For example, the information processing device 1 may predict the exit timing of the vehicle C parked in the parking lot P based on the weather around the facility F. For example, when lightning starts to sound around the facility F, the information processing device 1 predicts that “10 vehicles C1 will leave the parking lot P for the next 15 minutes” based on such weather information. Can be. This is because when the thunder starts to sound, the psychology of the user visiting the facility F changes to “I want to return home early”, so that it can be predicted that many vehicles C will leave.

  Also, when light rain starts to fall around the facility F, the psychology of the user visiting the facility F changes to “I want to return home sooner”. Can be expected to leave.

  On the other hand, when the downpour begins to rain around the facility F, the information processing device 1 predicts that “the vehicle C1 will not leave the parking lot P for the next ten minutes” based on the weather information. Can be. This is because, when the rain starts to rain, the psychology of the user visiting the facility F changes to “let's stay at the facility F until the rain drops down”, and the vehicle C parked in the parking lot P has been in use for a while. This is because it can be predicted that the player will not leave.

  As described above, the information processing apparatus 1 acquires information other than the information attributed to the user as the behavior information, and predicts the exit timing of the vehicle C based on the information other than the information attributed to the user. it can. The information other than the information attributable to the user himself / herself may be, for example, an action performed by another person to the user himself / herself (for example, sending an e-mail from another person to the user himself / herself).

[3-6. Vehicle discrimination based on origin and destination)
In addition, the information processing device 1 determines whether the vehicle C in the parking lot P is parked or exits based on the use flag indicating whether the user driving the vehicle C is using the facility F. However, embodiments are not limited to this. For example, the information processing apparatus 1 may determine whether the vehicle C in the parking lot P parks or leaves based on the departure place and the destination of the vehicle C registered in the vehicle database 122.

  For example, when the destination of the vehicle C in the parking lot P is set to a place other than the facility F, such as a home or another facility, the information processing apparatus 1 can determine that the vehicle C leaves from now. . On the other hand, when the destination of the vehicle C in the parking lot P is set to the facility F, the information processing device 1 can determine that the vehicle C is to be parked.

  As described above, the information processing device 1 can determine whether the vehicle C in the parking lot P is parked or leaves based on the departure place and the destination of the vehicle C registered in the vehicle database 122.

[3-7. Prediction of available space by other means)
In addition, the information processing device 1 notifies the vehicle C2a of the information on the position of the parking space where the vehicle C1a determined to be the vehicle to be exited from the parking lot P is parked as empty space information. However, embodiments are not limited to this. For example, the information processing apparatus 1 may notify the parking space where the vehicle C of the user predicted to leave the facility F is parked by the prediction unit 133 as the empty space before becoming the empty space E.

  Thereby, it can be further suppressed that the empty space E notified to the vehicle C2 is filled after being notified.

[4. Processing procedure)
Next, a process executed by the control unit 13 of the information processing device 1 will be described with reference to FIG. FIG. 6 is a flowchart illustrating a process executed by the control unit 13 of the information processing device 1 according to the embodiment.

  As shown in FIG. 6, the control unit 13 first determines whether or not probe data has been received from the terminal device of the vehicle C (step S101). When the probe data is received from the terminal device of the vehicle C (Step S101, Yes), the control unit 13 updates the position information and the speed information of the vehicle C in the vehicle database 122 based on the probe data (Step S101). S102). On the other hand, if the probe data has not been received from the terminal device of the vehicle C (step S101, No), step S102 is skipped.

  Next, the control unit 13 determines whether or not the user uses the facility F (Step S103). Then, when the user uses the facility F (Step S103, Yes), the control unit 13 updates the use flag of the facility F in the user database 123 to “1” (Step S104). On the other hand, when the user does not use the facility F (No at Step S103), the control unit 13 updates the use flag of the facility F in the user database 123 to “0” (Step S105).

  Next, the control unit 13 outputs, from a beacon B or the like installed in the facility F, behavior of a user using the facility F associated with the parking lot P, or behavior information indicating an event that may affect the behavior. It is acquired (step S106). And the control part 13 predicts the timing which the vehicle C1 parked in the parking lot P among the vehicles C will leave from the parking lot P based on the acquired action information (step S107).

  Next, the control unit 13 determines whether or not the vehicle C2 is waiting for parking in the parking lot P (Step S108). Then, when there is a vehicle C2 waiting for parking in the parking lot P (step S108, Yes), information on the timing at which the parking lot P can be vacant is provided to the vehicle C2 (step S109). On the other hand, when there is no vehicle C2 waiting for parking in the parking lot P (Step S108, No), Step S109 is skipped.

  Next, the control unit 13 determines whether the vehicle C in the parking lot P is parked or exits (step S110). For example, the control unit 13 determines whether the vehicle C traveling in the parking lot P is parked or exits based on the use flag of the facility F updated in steps S103 to S105.

  Lastly, the control unit 13 notifies the vehicle C2a of the vehicles C in the parking lot P, who intends to park in the parking lot P, of the empty space information regarding the vacant parking space in the parking lot P. (Step S111), the process ends.

[5. Hardware configuration)
The information processing apparatus 1 according to the embodiment is realized by, for example, a computer 50 having a configuration illustrated in FIG. FIG. 7 is a hardware configuration diagram illustrating an example of a computer that realizes the functions of the information processing device 1. The computer 50 includes a CPU (Central Processing Unit) 51, a RAM (Random Access Memory) 52, a ROM (Read Only Memory) 53, a HDD (Hard Disk Drive) 54, a communication interface (I / F) 55, and an input / output interface (I / F) 56 and a media interface (I / F) 57.

  The CPU 51 operates based on a program stored in the ROM 53 or the HDD 54 and controls each unit. The ROM 53 stores a boot program executed by the CPU 51 when the computer 50 is started, a program depending on hardware of the computer 50, and the like.

  The HDD 54 stores a program executed by the CPU 51, data used by the program, and the like. The communication interface 55 corresponds to the communication unit 11, receives data from another device via the network N, sends the data to the CPU 51, and transmits the data generated by the CPU 51 to the other device via the network N.

  The CPU 51 controls output devices such as a display and a printer and input devices such as a keyboard and a mouse via an input / output interface 56. The CPU 51 acquires data from an input device via the input / output interface 56. Further, the CPU 51 outputs the generated data to the output device via the input / output interface 56.

  The media interface 57 reads a program or data stored in the recording medium 58 and provides the program or data to the CPU 51 via the RAM 52. The CPU 51 loads the program from the recording medium 58 onto the RAM 52 via the media interface 57, and executes the loaded program. The recording medium 58 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc), a 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. And so on.

  For example, when the computer 50 functions as the information processing apparatus 1 according to the embodiment, the CPU 51 of the computer 50 implements the function of the control unit 13 by executing a program loaded on the RAM 52. The HDD 54 stores data in the storage unit 12. The CPU 51 of the computer 50 reads these programs from the recording medium 58 and executes them. However, as another example, these programs may be obtained from another device via the network N.

[6. Others)
Further, of the processes described in the above embodiment, all or a part of the processes described as being performed automatically can be manually performed, or the processes described as being performed manually can be performed. All or part can be performed automatically by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown.

  Each component of each device illustrated is a functional concept, and does not necessarily need to be physically configured as illustrated. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or a part thereof may be functionally or physically distributed / arbitrarily divided into arbitrary units according to various loads and usage conditions. Can be integrated and configured. Further, the above-described embodiments can be appropriately combined as long as the processing contents are not inconsistent.

[7. effect〕
As described above, the information processing device 1 according to the embodiment includes the determination unit 135 and the notification unit 136. The determination unit 135 determines whether the vehicle C in the parking lot P parks or leaves. The notifying unit 136 notifies the vehicle C2a to be parked in the parking lot P determined by the determining unit 135 of empty space information regarding a vacant parking space in the parking lot P.

  Thereby, the information processing device 1 can notify the vehicle C2a traveling in the parking lot P of information on the empty space.

  In the information processing apparatus 1 according to the embodiment, the determination unit 135 parks the vehicle C in the parking lot P based on information on whether or not the user uses the facility F associated with the parking lot P. Or leave.

  Thereby, the information processing device 1 can more accurately determine whether the vehicle C in the parking lot P is parked or exits.

  In the information processing apparatus 1 according to the embodiment, the determination unit 135 may set the vehicle to the parking lot when the home or another facility is input as the destination in the application for performing the guidance process in the vehicle C. It is determined that the vehicle is about to leave P.

  Thereby, the information processing apparatus 1 can more accurately determine that the vehicle C in the parking lot P leaves.

  Further, in the information processing apparatus 1 according to the embodiment, when the facility F associated with the parking lot P is input as the destination in the application for performing the guidance process in the vehicle C, the determination unit 135 Is determined to be a vehicle to be parked in the parking lot P.

  Thereby, the information processing device 1 can more accurately determine that the vehicle C in the parking lot P is going to park.

  Further, in the information processing apparatus 1 according to the embodiment, the notification unit 136 is limited to the vehicle C2a that passes by the parking lot P among the vehicles C2a that are going to park in the parking lot P. Report space information.

  Thereby, it is possible to suppress confusion in the parking lot P.

  In the information processing apparatus 1 according to the embodiment, the notification unit 136 determines that the vehicle C1a that is about to leave the parking lot P does not pass the vehicle C2a that is about to park in the parking lot P for a predetermined time or more. The free space information is notified to all the vehicles C2a to be parked in the parking lot P.

  Thereby, it is possible to suppress confusion in the parking lot P.

  In the information processing apparatus 1 according to the embodiment, when the vehicle C1a about to leave the parking lot P exits without passing the vehicle C2a about to park in the parking lot P, the notification unit 136 The free space information is notified to the vehicle C2a entering to park at P.

  Thereby, it is possible to suppress confusion in the parking lot P.

  Further, in the information processing apparatus 1 according to the embodiment, the notification unit 136 notifies, as free space information, information regarding the position of the parking space where the vehicle C1a about to leave the parking lot P is parked.

  Thus, it is possible to prevent the notified empty space E from being filled after being notified.

  Although the embodiment of the present application has been described in detail with reference to the drawings, this is an exemplification, and various modifications and improvements may be made based on the knowledge of those skilled in the art, including the aspects described in the section of disclosure of the invention. The present invention can be implemented in other forms described above.

  Further, the “section (section, module, unit)” described above can be read as “means”, “circuit”, or the like. For example, the prediction unit can be replaced with a prediction unit or a prediction circuit.

DESCRIPTION OF SYMBOLS 1 Information processing apparatus 11 Communication part 12 Storage part 13 Control part 121 Parking lot database 122 Vehicle database 123 User database 131 Collection part 132 Acquisition part 133 Prediction part 134 Provision part 135 Determination part 136 Notification part

Claims (8)

A determining unit that determines whether the vehicle in the parking lot is parked or exits;
For a vehicle to be parked in the parking lot determined by the determination unit, a notification unit that notifies empty space information about a vacant parking space in the parking lot,
With
The notifying unit is limited to vehicles passing through the parking lot and vehicles passing through the parking lot, and is limited to vehicles passing by the parking lot in which the vehicle going out of the parking lot is parked. An information processing apparatus for notifying information on a space position as the empty space information. The said determination part determines whether the vehicle in a parking lot parks or leaves based on the information regarding whether the user is using the facility accompanying the parking lot. An information processing apparatus according to claim 1. In the application for executing the guidance process in the vehicle, when the home or another facility is input as the destination, the determination unit may determine that the vehicle is a vehicle to be exited from the parking lot. The information processing apparatus according to claim 1 or 2, wherein In the application for performing the guidance process in the vehicle, when the facility associated with the parking lot is input as a destination, the determination unit determines the vehicle as a vehicle to be parked in the parking lot. The information processing apparatus according to claim 1, wherein: The notifying unit may include, when a vehicle that is about to leave the parking lot does not pass a vehicle that is to park in the parking lot for a predetermined time or more, the empty space is provided in all the vehicles that are to be parked in the parking lot. Notify information,
The information processing apparatus according to claim 1, wherein: The notifying unit, when the vehicle to exit from the parking lot exits without passing the vehicle to be parked in the parking lot, after that, the empty space information to the vehicle to enter the parking lot to enter the parking lot Notice,
The information processing apparatus according to claim 1, wherein: An information processing method executed by a computer,
A determining step of determining whether the vehicle in the parking lot parks or leaves,
A notification step of notifying a vehicle to be parked in the parking lot determined in the determination step of empty space information regarding a vacant parking space in the parking lot;
Including
The notifying step is limited to a vehicle passing through the parking lot and a vehicle passing through the parking lot and passing through the parking lot. An information processing method, wherein information on a position of a space is notified as the empty space information. A determination procedure for determining whether a vehicle in the parking lot parks or leaves,
A notification procedure for notifying a vehicle to be parked in the parking lot determined in the determination procedure, of empty space information regarding a vacant parking space in the parking lot,
To the computer,
The notification procedure is limited to a vehicle passing through the parking lot and a vehicle passing through the parking lot and passing by the parking lot. An information processing program for notifying information on a space position as the empty space information.

Images