JP6576528B1 - Information processing apparatus, information processing method, and information processing program - Google Patents

Abstract

An information processing apparatus, an information processing method, and an information processing program capable of notifying a vehicle traveling in a parking lot of information related to an empty space. An information processing apparatus according to the present application includes a determination unit and a notification unit. A discrimination | determination part discriminate | determines whether the vehicle in a parking lot parks or leaves. A notification part notifies the empty space information regarding the vacant parking space in a parking lot with respect to the vehicle which is going to park at the parking lot discriminate | determined by the discrimination | determination part. [Selection] Figure 1

Description

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

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

JP-A-6-215298

  However, according to the above-described conventional technology, information about an empty space in a parking lot can be acquired only when entering through a gate or the like. Therefore, when the notified empty space is filled after entering, there is a problem in that it takes time to further search for an empty space in the parking lot.

  The present application has been made in view of the above, and an object of the present invention is to provide an information processing apparatus, an information processing method, and an information processing program capable of notifying a vehicle traveling in a parking lot of information related to an empty space. And

  An information processing apparatus according to the present application includes a determination unit and a notification unit. A discrimination | determination part discriminate | determines whether the vehicle in a parking lot parks or leaves. The notifying unit notifies the vehicle that is to be parked in the parking lot determined by the determining unit of vacant space information regarding a vacant parking space in the parking lot.

  According to one aspect of the embodiment, it is possible to provide an information processing apparatus, an information processing method, and an information processing program capable of notifying a vehicle traveling in a parking lot of information related to 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 a 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 processing 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 realizes the functions of the information processing apparatus according to the embodiment.

  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. 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 is 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 types of information to and from the vehicle C via a network N (see FIG. 2) such as the Internet.

  The vehicle C is a vehicle such as a car or a motorcycle driven by a user. Further, the vehicle C has a terminal device that can communicate 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 possessed by the vehicle C is a terminal device used by a user who uses various services. For example, an arbitrary information processing device such as a tablet terminal, a PC, a PDA, a smartphone, or a car navigation system mounted on a vehicle is applied to the terminal device.

  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), wireless LAN (Local It is possible to communicate with the information processing apparatus 1 by connecting to the network N via short-range wireless communication such as Area Network.

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

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

  Next, the information processing apparatus 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 acquires information indicating that two users have passed from the beacon B installed beside the cash register of the facility F, “two vehicles C1 parked by the user are parked 10 minutes later. It can be predicted that “exit from the parking lot P”.

  In addition, 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 vehicle C1 parked by the user is one parking lot P 5 minutes later. Can be predicted to leave. This is because it can be predicted that the user passing the cash register or the exit will soon leave the facility F, that is, will soon get out of the parking lot P on the vehicle C.

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

  For example, the information processing apparatus 1 can provide information indicating that “the parking lot P is vacant in 5 minutes” to the vehicle C2 arranged at the head of the vehicles C2 waiting for parking. In addition, the information processing apparatus 1 may provide information indicating that “the parking lot P is vacant in 10 minutes” to the second and third vehicles C2 among the vehicles C2 waiting to be parked. it can. The order of the vehicles C2 waiting for parking can be detected based on the position information of the vehicles C2.

  Thus, 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 who uses the facility F. As a result, it is possible to predict the timing at which the parking lot P that is full becomes available.

  In the example shown here, the case where the information from the beacon B is used as the information indicating the user's behavior (that is, the behavior information) is shown. However, the behavior information indicating the user's behavior is obtained from the beacon B. It is not limited to information. Further, the behavior information may be information indicating an event that may affect the user's behavior. Examples of other behavior information will be described later.

  Moreover, in embodiment, based on the information obtained from locations other than parking lot P, such as beacon B, the timing which the vehicle C1 which the user parked leaves the parking lot P is estimated. As a result, compared to the case of predicting based on information obtained from the parking lot P itself, such as predicting the exit timing from the average value of the time interval at which the vehicle C leaves the parking lot P, the vehicle is full. The timing at which the parking lot P is vacant can be predicted more accurately.

  Subsequently, as shown in FIG. 1B, the vehicle C <b> 1 a of the parked vehicle C <b> 1 departs from the parking space of the parking lot P, and the parked parking space becomes an empty space E. Further, with the departure of the vehicle C1a, the vehicle C2a enters the parking lot P among the vehicles C2 waiting to be parked in the parking lot P.

  Here, the information processing apparatus 1 determines whether the vehicle C in the parking lot P is parked or leaves (step S4). For example, the information processing apparatus 1 determines whether the vehicle C traveling in the parking lot P is parked or exited based on a usage flag indicating whether or not the user driving the vehicle C is using the facility F. To do.

  In this case, since the use flag of the user who drives the vehicle C1a is a value indicating use (for example, “1”), the information processing apparatus 1 determines that the vehicle C1a is a vehicle that is about to leave the parking lot P. To do. Further, since the use flag of the user who drives the vehicle C2a is a value indicating non-use (for example, “0”), the information processing apparatus 1 determines that the vehicle C2a is a vehicle that is to be parked in the parking lot P. To do.

  And the information processing apparatus 1 is the information regarding the vacant parking space in the parking lot P (hereinafter referred to as “vacant”) for the vehicle C2a to be parked in the parking lot P among the vehicles C in the parking lot P. (Also referred to as “space information”) (step S5). For example, the information processing apparatus 1 notifies the vehicle C2a of information regarding the position of the parking space (that is, the empty space E) where the vehicle C1a about to leave is parked as empty space information.

  Thus, in the embodiment, it is determined whether the vehicle C in the parking lot P is parked or left, and the parking lot that is vacant in the parking lot P with respect to the vehicle C2a to be parked in the parking lot P is determined. Notify the free space information about the space. Thereby, the vehicle C2a to be parked in the parking lot P can be smoothly reached to the empty space E.

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

  Moreover, in embodiment, it is limited to the vehicle C2a which is going to park among the vehicles C in the parking lot P, and the information regarding the empty space E is notified. Thereby, it can suppress that the information regarding the empty space E is notified with respect to vehicle C1a which is going to leave the parking lot P. FIG.

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

  Moreover, in embodiment, the information regarding the position of the empty space E where the vehicle C1a which is going to leave the parking lot P is parked is notified to the vehicle C2a as empty space information. Thereby, it is possible to notify the vehicle C2a that intends to park the information regarding the newly created empty space E. Therefore, according to the embodiment, it is possible to suppress the notified empty space E from being filled after being notified.

  In addition, in the embodiment, it is preferable to notify the vacant space information limited to the vehicle C2a passing the vehicle C1a to be leaving among the vehicles C to be parked in the parking lot P. In this way, by limiting and notifying information related to the position of one empty space E, it is possible to suppress the flooding of a plurality of vehicles C trying to park in one empty space E. Therefore, according to the embodiment, the parking lot P can be prevented from being confused.

[2. Configuration of information processing apparatus]
Next, the 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 apparatus 1 according to the embodiment. As illustrated 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 apparatus 1 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator who uses the information processing apparatus 1, and a display unit (for example, a liquid crystal display) that displays various types of information. Etc.).

(About the communication unit 11)
The communication unit 11 is realized by, for example, a NIC (Network Interface Card). The communication unit 11 is connected to the network N in a wired or wireless manner, and transmits / receives information to / 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 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. As shown in FIG. 2, the storage unit 12 includes a parking lot database 121, a vehicle database 122, and a user database 123.

(About the parking lot database 121)
The parking lot database 121 is a database in which information on parking lots for predicting the timing of vacancy 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 vacant parking spaces, facility information, and the number of passing check flags are registered in association with each other. .

  Here, the parking lot ID is an identifier for identifying the parking lot. The parking lot database 121 may store a parking lot name and the like 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.

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

(Vehicle database 122)
The vehicle database 122 is a database in which information on vehicles that are notified of vacant space information of a parking lot 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, in the vehicle database 122, vehicle ID, position information, speed information, a departure place, and a destination are registered 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 together with 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.

  Note that the position information and speed information described above are information included in probe data transmitted at predetermined time intervals from a terminal device mounted on the vehicle. In addition, the above-described departure place and destination are registered in the vehicle database 122 when the departure place and the destination are set by the user when the user guidance process is performed by the terminal device mounted on the vehicle.

(About user database 123)
The user database 123 is a database in which information of users who drive a vehicle and visit a facility 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, in the user database 123, a user ID, location information, a usage flag, and a vehicle ID are registered in association with each other.

  Here, the user ID is an identifier for identifying the user. Note that the user database 123 may store a user name, attribute information indicating a user attribute (a demographic attribute or a psychographic attribute), and the like together with 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 from a portable terminal such as a smartphone possessed by the user indicated by the associated user ID, for example.

  The usage flag is information indicating whether or not the user indicated by the associated user ID has used various facilities before a predetermined time until the present time. For example, when the user indicated by the user ID uses the facility, the information processing apparatus 1 registers the usage flag “1” in association with the facility, and the user indicated by the user ID does not use the facility. In this case, the usage flag “0” is registered in association with the 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 (information processing programs) stored in a storage device inside the information processing apparatus 1 by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. (Corresponding to an example) is implemented by using the RAM as a work area. The control unit 13 is a controller, for example, 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 information processing described below. Realize or execute the functions and operations 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 information processing described later is performed.

(About the collection unit 131)
The collection unit 131 collects probe data from the terminal device mounted on the vehicle C. And the collection part 131 updates the positional information and speed information of the vehicle database 122 based on the probe data collected from this terminal device.

  Further, the collection unit 131 collects history information that the user has used the facility F. For example, the collection unit 131 collects user purchase history and the like as history information from a POS (point of sales) system of a facility F that is a store. When the 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 the history information cannot be collected, the collection unit 131 updates the usage flag of the user database 123 to “0”.

(About the acquisition unit 132)
The acquisition unit 132 acquires, via the network N, information indicating a user's behavior using the facility F accompanied by the parking lot P, 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 near a check flag (for example, beacon B) installed at a predetermined location (for example, the side of the cash register or the exit) of the facility F, get. And the acquisition part 132 registers the number of the users who passed the vicinity of the check flag which is the acquired action information in the parking lot database 121. FIG.

(About the prediction unit 133)
Based on the behavior information acquired by the acquisition unit 132, 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. The prediction unit 133, for example, the timing at which the vehicle C1 leaves the parking lot P and the timing based on the installation location of the check flag from which the behavior information is acquired and the number of users who have passed near the check flag. The number of vehicles C1 leaving can be predicted.

  For example, a check flag predicted to leave the parking lot P after 5 minutes (for example, a beacon B installed at the exit) and a check flag predicted to leave the parking lot P after 10 minutes (for example, installed beside the cash register) Beacon B) and a check flag predicted to leave the parking lot P after 15 minutes (for example, a beacon B installed on a merchandise shelf near the cash register) are provided in the facility F step by step.

  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 will leave the parking lot P after five minutes, and eight vehicles C1 will leave the parking lot P after ten minutes.

  Thus, by providing a check flag in steps in the facility F, 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 leaves the parking lot P based on the distance between the location where the user performed and the location where the user parked the vehicle C1 in the parking lot P. May be predicted. Furthermore, the prediction unit 133 predicts the timing when the vehicle C1 parked by the user leaves the parking lot P based on the distance from the location where the user parked the vehicle C1 in the parking lot P to the exit of the parking lot P. May be.

  Thus, by predicting the timing at which the vehicle C1 leaves the parking lot P based on the distance between the respective locations in the facility F and the parking lot P, the timing at which the parking lot P can be vacant can be predicted more accurately. Can do.

  Moreover, the prediction unit 133 may predict the timing when 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, the timing when the parking lot P is vacant can be predicted more accurately. Note that. Such a moving direction of the user can be obtained from a portable terminal such as a smartphone possessed by the user.

  Moreover, the prediction unit 133 generates a model by statistically analyzing the user's behavior in the facility F and the parking lot P, and based on the modeled information, the vehicle C1 parked by the user is in the parking lot. The timing of leaving from P may be predicted. For example, when a certain user leaves the parking lot P seven minutes after passing the cash register next to the facility F in many patterns in the past, and the user passes the cash register next, the prediction unit 133 indicates that “the user is It can be predicted that “one parked vehicle C1 will leave the parking lot P after 7 minutes”.

  The predicting 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 the vehicle C1 parked by the user is based on the modeled statistical information. You may predict the timing which leaves the parking lot P. For example, by statistically analyzing the behavior of a plurality of users who have visited the facility F in the past, “from 2 hours of 11:45 to 12:00 in order to go for lunch, according to a normal distribution. It is assumed that statistical information that “percent users leave the parking lot P” is modeled. Then, when there are 300 visitors at the facility F at 11:30, the prediction unit 133 determines that the vehicle C1 parked by the user from 11:45 to 12:00 is based on the modeled statistical information. It is predicted that “60 will leave the parking lot P”.

  Note that the plurality of users to be analyzed when generating the modeled statistical information described above and the users to be predicted for the timing of leaving the parking lot P may not be the same.

  In addition, the prediction unit 133 estimates the user state based on the behavior information acquired by the acquisition unit 132, and the timing at which the vehicle C1 parked by the user leaves the parking lot P based on the estimated user state. May be predicted. That is, the prediction unit 133 may estimate the user's context information 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 reads “a user has passed in front of an ice cream shop”, “a user has passed in front of a restaurant”, and “a user has passed in front of a florist”. Is obtained continuously. In this case, the prediction unit 133 estimates the moving direction and moving speed of the user based on the positions of ice cream shops, restaurants, and florists in the facility F. Then, 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 estimated moving direction and moving speed of the user.

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

(About the providing unit 134)
The provision part 134 is information on the timing when the parking lot P can be vacated for the vehicle C2 waiting to be parked in the parking lot P based on the timing when the vehicle C1 predicted by the prediction section 133 leaves 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 five minutes and eight vehicles C1 leave the parking lot P after ten minutes”, the providing unit 134 For the vehicles C2 lined up from the top to the second, information that “the parking lot P is vacant after 5 minutes” is provided, and for the vehicles C2 lined up from the third to the tenth, “after 10 minutes, Information that "the parking lot P is vacant" can be provided.

  Thus, by providing the check flag step by step in the facility F, the providing unit 134 can more accurately provide the timing at which parking is possible in the parking lot P for the vehicle C2 waiting for parking. .

(About the discriminator 135)
The determination unit 135 determines whether the vehicle C in the parking lot P parks or leaves. For example, the determination unit 135 determines whether the vehicle C driven by the target user parks 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 user's vehicle C whose use flag of the facility F attached to the parking lot P is “1” is the vehicle C1a that is about to leave the parking lot P. In addition, the determination unit 135 determines that the user's vehicle C in which the use flag of the facility F attached to the parking lot P is “0” is the vehicle C2a to be parked in the parking lot P.

(About the notification unit 136)
The notification unit 136 notifies the vehicle C <b> 2 a to be parked in the parking lot P among the vehicles C in the parking lot P of information related to a vacant parking space in the parking lot P. For example, the notification unit 136 notifies the vehicle C2a of information regarding the position of the parking space where the vehicle C1a about to leave the parking lot P is parked as empty space information.

  Note that 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.

  Further, the notification unit 136 can notify the vacant space information only to the vehicle C2a passing the vehicle C1a that is about to leave among the vehicles C that are about to park in the parking lot P. Thereby, it can suppress that the inside of the parking lot P is confused.

  Note that the notification unit 136 detects that the vehicle C1a about to leave and the vehicle C2a about to park pass each other based on the probe data collected from the vehicle C1a and the terminal device mounted on the vehicle C2a. Can do.

  In addition, the position of the parking space where the vehicle C1a was parked and the fact that the vehicle C1a and the vehicle C2a passed each other are not limited to detection based on probe data, You may detect based on the information from a sensor, etc.

  In addition, the notification unit 136, when 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 longer, the vehicle C2a that is about to park at the parking lot P. It is better to notify all of the empty space information.

  Thus, when the vehicle C1a does not pass the vehicle C2a to be parked in the parking lot P for a predetermined time or longer, it is estimated that there is no vehicle C2a to be parked near the empty space E. Therefore, by notifying all the vehicles C2a of the empty space information, it is possible to efficiently fill the empty space E and reduce the number of vehicles C2a running in the parking lot P. Therefore, according to the embodiment, the parking lot P can be prevented from being confused.

  In addition, when the vehicle C1a that is about to leave the parking lot P exits without passing the vehicle C2a that is about to park at the parking lot P, the notification unit 136 then enters the vehicle C2a that enters the parking lot P for parking. It is recommended to notify the free space information.

  Thus, when the vehicle C1a does not pass the vehicle C2a to be parked until it leaves the parking lot P, it is estimated that there is no vehicle C2a to park near the empty space E. Therefore, the empty space information is notified to the vehicle C2a that enters the vehicle to be parked thereafter, thereby efficiently filling the empty space E and reducing the number of vehicles C2a running in the parking lot P. Therefore, according to the embodiment, the parking lot P can be prevented from being confused.

  In addition, the notification unit 136 sets the vacant state of the parking lot P and the number of vehicles C traveling in the parking lot P (that is, the number of the vehicles C1a and the number of the vehicles C2a) for the vehicle C about to visit the parking lot P. (Total number) may be notified. That is, the notification unit 136 may notify the vehicle C that is about to visit the parking lot P of the congestion status 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, in the following, another embodiment of the information processing apparatus 1 will be described.

[3-1. Acquisition of action information from POS system]
When the user passes through the vicinity of 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, the embodiment is not limited to this. For example, the information processing apparatus 1 may acquire various information obtained from the POS system of the facility F as behavior information.

  For example, each time the user pays for shopping at the cash register at the facility F, the information processing apparatus 1 acquires information indicating that the shopping has been paid from the POS system at the facility F as behavior information. As a result, the information processing apparatus 1 can predict, for example, that “the vehicle C1 of the user who has paid for shopping will leave the parking lot P after 5 minutes”. This is because the user who settled shopping at the cash register can predict that he will soon get out of the parking lot P on the vehicle C.

  Further, each 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 that, for example, “the vehicle C1 of the user who ordered the replacement ball will leave the parking lot P after one and five minutes”. This is because the user who ordered the replacement ball can predict that he will soon get out of the parking lot P on the vehicle C.

  Furthermore, 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 on which the item has been taken approaches the cash register, the information processing apparatus 1 may, for example, “goods near the cash register. It can be predicted that one vehicle C1 of the user who has taken the car will leave the parking lot P after 15 minutes.

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

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

  When the human sensor detects that one user has entered the last area, the information processing apparatus 1 determines that “the user who has entered the final area” based on the information obtained from the human sensor. 1 vehicle C1 will leave the parking lot P after 10 minutes ". This is because a user who enters the final area of the haunted house can predict that he will soon get out of the parking lot P on the vehicle C.

  Further, for example, a biosensor capable of sensing the weight is attached to a user who uses the facility F. When the biosensor senses that one user has a heavy object, the information processing apparatus 1 determines that “the vehicle C1 of the user having a heavy object is the vehicle C1 based on the information obtained from the biosensor. It can be predicted that “one vehicle will leave the parking lot P after 10 minutes”. This is because a user with a heavy object can predict that a heavy object will soon be loaded onto the vehicle C and leave the parking lot P.

  Thus, the information processing apparatus 1 can acquire information obtained from various sensors as behavior information. In addition, the sensor which can obtain action information is not restricted to the above-mentioned example, You may acquire the information obtained from another sensor as action information.

[3-3. (Prediction of exit timing based on departure place)
Further, the information processing apparatus 1 may predict the exit timing of the vehicle C parked in the parking lot P based on the departure location of the vehicle C registered in the vehicle database 122. For example, if the departure place of the vehicle C that 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, for example, It can be predicted that the vehicle will leave the parking lot P at 4 o'clock. This is because it can be predicted that the vehicle C visiting from a long distance is unlikely to remain late until the next day is a weekday and is likely to leave by the evening.

  On the other hand, when 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 may, for example, “the vehicle C1 visited from Saitama Prefecture is 1 It can be predicted that the vehicle will leave the parking lot P at 8:00 pm. This is because it can be predicted that the vehicle C visiting from the neighborhood is unlikely to leave early even if the next day is a weekday and is likely to remain until night.

  In this way, the information processing apparatus 1 acquires the departure location 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 location of the vehicle C and the location of the facility F. Can be predicted.

[3-4. (Prediction of exit timing based on user's spontaneous behavior)
Further, the information processing apparatus 1 may predict the exit timing of the vehicle C parked in the parking lot P based on the spontaneous behavior caused by the user. For example, a terminal that provides points near the exit of the facility F is provided, 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 acquires points, the information processing apparatus 1 determines that the “checked-in user's vehicle C1 is one parking lot 5 minutes later based on the checked-in information”. It can be predicted that “exit from P”.

  Further, the information processing apparatus 1 may predict the exit timing of the vehicle C parked in the parking lot P based on the behavior on the web that the user has voluntarily caused. For example, when a user who has visited a facility F, which is a large shopping mall, has previously checked information on an event performed at the facility F on the web, the information processing apparatus 1 may, for example, “user's vehicle C1 is 1”. It can be predicted that the vehicle will leave the parking lot P 10 minutes after the event end time. This is because the user who has examined the event information in advance can predict that the user will get on the vehicle C and leave the parking lot P as soon as the event is over.

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

[3-5. (Prediction of exit timing based on information other than user-derived information)
Further, the information processing apparatus 1 may predict the exit timing based on information other than information originating from the user. For example, the information processing apparatus 1 may predict the timing at which the vehicle C1 parked by the user leaves the parking lot P based on information indicating an event that may affect the user's behavior.

  For example, the information processing apparatus 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 thunder starts to sound around the facility F, the information processing apparatus 1 predicts that “10 vehicles C1 will leave the parking lot P for 15 minutes from now” based on the weather information. Can do. This is because when the thunder begins to sound, the psychology of the user visiting the facility F changes as “I want to go home early”, so it can be predicted that many vehicles C will leave.

  In addition, even when light rain starts around the facility F, the psychology of the user visiting the facility F changes to “I want to go home early”, so the information processing apparatus 1 has many vehicles C as described above. Can be expected to leave.

  On the other hand, when drizzling rain starts around the facility F, the information processing apparatus 1 predicts that “the vehicle C1 will not leave the parking lot P for the next 10 minutes” based on the weather information. Can do. This is because when the dripping rain starts, the psychology of the user who visits the facility F changes to "Let's stay in the facility F until the drizzling rain settles", so the vehicle C parked in the parking lot P for a while. This is because it can be predicted that they will not leave.

  In this way, the information processing apparatus 1 acquires information other than information originating from the user himself / herself as behavior information, and predicts the exit timing of the vehicle C based on information other than information originating from the user himself / herself. it can. Note that the information other than the information caused by the user himself / herself may be, for example, an action (for example, sending an e-mail from another person to the user himself / herself) taken from another person to the user himself / herself.

[3-6. (Determination of vehicles based on departure and destination)
Further, the information processing apparatus 1 determines whether the vehicle C in the parking lot P is parked or exited based on a use flag indicating whether or not the user driving the vehicle C is using the facility F. However, the embodiment is 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 at a location other than the facility F such as a home or other facilities, the information processing apparatus 1 can determine that the vehicle C will leave. . 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 apparatus 1 can determine that the vehicle C is parked.

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

[3-7. Prediction of free space by other means)
In addition, the information processing apparatus 1 notifies the vehicle C2a of information regarding the position of the parking space in which the vehicle C1a determined to be a vehicle that is about to leave the parking lot P is parked as empty space information. However, the embodiment is not limited to this. For example, the information processing apparatus 1 may notify the parking space in which the user's vehicle C predicted to leave the facility F by the prediction unit 133 is parked as an empty space before becoming the empty space E.

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

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

  As shown in FIG. 6, the control unit 13 first determines whether probe data has been received from the terminal device of the vehicle C (step S <b> 101). And when probe data is received from the terminal device of the vehicle C (step S101, Yes), the control part 13 updates the positional information and speed information of the vehicle C in the vehicle database 122 based on this probe data (step). S102). On the other hand, when probe data is not 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 is using the facility F (step S103). If the user uses the facility F (Yes at Step S103), 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 displays behavior information indicating a behavior of a user who uses the facility F attached to the parking lot P or an event that may affect the behavior from a beacon B installed in the facility F. Obtain (step S106). And the control part 13 estimates the timing when the vehicle C1 parked in the parking lot P among the vehicles C leaves the parking lot P based on the acquired action information (step S107).

  Next, the control unit 13 determines whether or not there is a vehicle C2 waiting to park 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 is 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 part 13 discriminate | determines whether the vehicle C in the parking lot P parks or leaves (step S110). For example, the control unit 13 determines whether the vehicle C traveling in the parking lot P is parked or leaves based on the use flag of the facility F updated in steps S103 to S105.

  Finally, the control unit 13 notifies the vacant space information regarding the vacant parking space in the parking lot P to the vehicle C2a to be parked in the parking lot P among the vehicles C in the parking lot P. (Step S111), the process ends.

[5. Hardware configuration)
Note that the information processing apparatus 1 in the embodiment is realized by a computer 50 having a configuration as illustrated in FIG. 7, for example. FIG. 7 is a hardware configuration diagram illustrating an example of a computer that realizes the functions of the information processing apparatus 1. The computer 50 includes a central processing unit (CPU) 51, a random access memory (RAM) 52, a read only memory (ROM) 53, a hard disk drive (HDD) 54, a communication interface (I / F) 55, an input / output interface (I). / F) 56 and 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 up, a program depending on the 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 other devices via the network N, sends the data to the CPU 51, and transmits data generated by the CPU 51 to other devices via the network N.

  The CPU 51 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 56. The CPU 51 acquires data from the 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 it 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) 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. Etc.

  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, but as another example, these programs may be acquired from other devices via the network N.

[6. 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. For example, the various types of information illustrated in each drawing is not limited to the illustrated information.

  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. Further, the above-described embodiments can be appropriately combined within a range in which processing contents are not contradictory.

[7. effect〕
As described above, the information processing apparatus 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 notification unit 136 notifies the vehicle C2a that intends to park in the parking lot P determined by the determination unit 135 of vacant space information regarding a vacant parking space in the parking lot P.

  Thereby, the information processing apparatus 1 can notify the vehicle C2a traveling in the parking lot P of information related to the empty space.

  Moreover, 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 regarding whether or not the user uses the facility F associated with the parking lot P. Or whether to leave.

  As a result, the information processing apparatus 1 can more accurately determine whether the vehicle C in the parking lot P is parked or exited.

  Moreover, in the information processing apparatus 1 according to the embodiment, the determination unit 135 sets the vehicle in the parking lot when the home or another facility is input as the destination in the application that executes 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 determine more accurately that the vehicle C in the parking lot P leaves.

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

  Thereby, the information processing apparatus 1 can discriminate | determine more accurately that the vehicle C in the parking lot P intends to park.

  Further, in the information processing apparatus 1 according to the embodiment, the notification unit 136 is empty only for a vehicle C2a that passes by the vehicle C2a that is about to leave the parking lot P among the vehicles C2a that are about to park at the parking lot P. Notify space information.

  Thereby, it can suppress that the inside of the parking lot P is confused.

  Further, in the information processing apparatus 1 according to the embodiment, the notification unit 136 stops the parking if the vehicle C1a leaving the parking lot P does not pass the vehicle C2a trying to park in the parking lot P for a predetermined time or more. The vacant space information is notified to all the vehicles C2a to be parked in the parking lot P.

  Thereby, it can suppress that the inside of the parking lot P is confused.

  Further, in the information processing apparatus 1 according to the embodiment, when the notification unit 136 leaves the vehicle C1a leaving the parking lot P without passing the vehicle C2a trying to park in the parking lot P, the notification section 136 The empty space information is notified to the vehicle C2a that enters to park at P.

  Thereby, it can suppress that the inside of the parking lot P is confused.

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

  Thereby, it can suppress that the notified empty space E is filled up after being notified.

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

  In addition, the “section (module, unit)” described above can be read as “means” or “circuit”. For example, the prediction unit can be read as prediction means 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 Discriminating part 136 Notification part

Claims (11)

A discriminator for discriminating whether the vehicle in the parking lot is parked or exited;
A notification unit for notifying a vehicle that is to be parked in the parking lot determined by the determination unit, and for notifying empty space information regarding a vacant parking space in the parking lot;
Equipped with a,
If the vehicle that is about to leave the parking lot does not pass the vehicle that is about to park in the parking lot for a predetermined time or more, the notifying unit has the empty space in all of the vehicles that are about to park in the parking lot. Notify information,
An information processing apparatus characterized by that. A discriminator for discriminating whether the vehicle in the parking lot is parked or exited;
A notification unit for notifying a vehicle that is to be parked in the parking lot determined by the determination unit, and for notifying empty space information regarding a vacant parking space in the parking lot;
With
When the vehicle that is about to leave the parking lot exits without passing the vehicle that is about to park at the parking lot, the notifying unit sends the empty space information to the vehicle that is about to enter the parking lot after that. Notice,
An information processing apparatus characterized by that. The determination section, the parking attendant to the facility on the basis of information on whether the user is using the vehicle parking area is characterized in that to determine Out or parking claim 1 or 2. The information processing apparatus according to 2 . In the application for executing guidance processing in the vehicle, the determination unit determines that the vehicle is a vehicle that is about to leave the parking lot when a home or other facility is input as a destination. The information processing apparatus according to any one of claims 1 to 3, wherein the information processing apparatus is characterized in that: The discriminating unit discriminates the vehicle to be parked in the parking lot when a facility associated with the parking lot is input as a destination in an application that executes guidance processing in the vehicle. the information processing apparatus according to any one of claims 1-4, characterized in that. The said notification part is limited to the vehicle which is passing the vehicle which is going to leave the said parking lot among the vehicles which are going to park in the said parking lot, and notifies the said empty space information. 5. The information processing apparatus according to any one of 5 . The notification unit notifies the information about the position of the parking space where the vehicle about to leave the parking lot is parked as the empty space information.
The information processing apparatus according to any one of claims 1 to 6 , wherein: An information processing method executed by a computer,
A discriminating step for discriminating whether a vehicle in the parking lot is parked or exited;
A notification step of notifying the vehicle which is to be parked in the parking lot determined in the determination step, information of empty space regarding a vacant parking space in the parking lot;
Only including,
In the notification step, when the vehicle that is about to leave the parking lot does not pass the vehicle that is about to park in the parking lot for a predetermined time or more, the empty space is included in all of the vehicles that are about to park in the parking lot. Notify information,
An information processing method characterized by the above. An information processing method executed by a computer,
A discriminating step for discriminating whether a vehicle in the parking lot is parked or exited;
A notification step of notifying the vehicle which is to be parked in the parking lot determined in the determination step, information of empty space regarding a vacant parking space in the parking lot;
Including
In the notification step, when a vehicle that is about to leave the parking lot leaves without passing the vehicle that is about to park in the parking lot, the empty space information is sent to the vehicle that is about to enter the parking lot after that. Notice,
An information processing method characterized by the above. A determination procedure for determining whether a vehicle in the parking lot is parked or exited,
A notification procedure for notifying a vehicle that is to be parked in the parking lot determined in the determination procedure, and notifying empty space information regarding a vacant parking space in the parking lot;
To the computer ,
In the notification procedure, when the vehicle that is about to leave the parking lot has not passed the vehicle that is about to park in the parking lot for a predetermined time or more, the empty space is included in all of the vehicles that are about to park in the parking lot. Notify information,
An information processing program characterized by that. A determination procedure for determining whether a vehicle in the parking lot is parked or exited,
A notification procedure for notifying a vehicle that is to be parked in the parking lot determined in the determination procedure, and notifying empty space information regarding a vacant parking space in the parking lot;
To the computer,
In the notification procedure, when a vehicle that is about to leave the parking lot leaves without passing the vehicle that is about to park in the parking lot, the empty space information is then displayed on the vehicle that is about to enter the parking lot. Notice,
An information processing program characterized by that.

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