JP2022123506A - Information processing device and information processing method - Google Patents

Abstract

To provide an information processing device and an information processing method capable of avoiding an occurrence of congestion around a plurality of event facilities even in a case where events are held in the plurality of event facilities, respectively.SOLUTION: An information processing device according to an embodiment comprises an acquisition unit and a determination unit. The acquisition unit acquires a plurality of pieces of event information that are related to events held in a plurality of event facilities and that include a scheduled end time of the event in each of the plurality of event facilities. The determination unit determines positions of boarding points of mobile bodies for users of the plurality of event facilities based on the plurality of pieces of event information acquired by the acquisition unit.SELECTED DRAWING: Figure 1

Description

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

Conventionally, after an event such as a concert has ended, various technologies have been proposed to avoid crowding around the event facility such as users of the event facility and taxis used by the users leaving the event facility. (See Patent Document 1, for example). In the conventional technology, by transmitting event information such as the scheduled end time of the event to vehicles such as taxis, consideration of an operation route that can avoid congestion is supported.

Japanese Patent Application Laid-Open No. 2006-119012

However, in the conventional technology described above, since one event facility is targeted, there is a possibility that the occurrence of congestion cannot be avoided. That is, for example, another event facility may be located relatively close to the target event facility, and the event may be held at such another event facility. In such a case, it may be impossible to avoid the occurrence of congestion around the target event facility under the influence of the congestion caused by the event of another event facility.

As described above, the related art still has room for improvement in terms of avoiding congestion around a plurality of event facilities when events are held at the plurality of event facilities.

The present invention has been made in view of the above, and an information processing apparatus capable of avoiding congestion around a plurality of event facilities even when events are held at the plurality of event facilities. and an information processing method.

In order to solve the above problems and achieve the object, the present invention provides an information processing apparatus that includes an acquisition unit and a determination unit. The acquiring unit acquires a plurality of pieces of event information relating to an event held at a plurality of event facilities, the event information including a scheduled end time of the event for each of the plurality of event facilities. A determination unit determines positions of landings of mobile bodies for users of the plurality of event facilities based on the plurality of pieces of event information acquired by the acquisition unit.

According to the present invention, even when events are held at a plurality of event facilities, it is possible to avoid congestion around the plurality of event facilities.

FIG. 1 is a diagram showing an overview of an information processing method according to an embodiment. FIG. 2 is a block diagram showing a configuration example of an information processing system. FIG. 3 is a block diagram showing a configuration example of an information processing apparatus. FIG. 4 is a diagram showing an example of event information. FIG. 5 is a diagram showing an example of predetermined time information. FIG. 6 is a diagram showing an example of user information. FIG. 7 is a diagram showing an example of people flow information. FIG. 8 is a diagram showing an example of road information. FIG. 9 is a diagram showing an example of platform information. FIG. 10 is a diagram for explaining the process of determining the position of the taxi stand. FIG. 11 is a diagram for explaining the process of determining the taxi route to the taxi stand. FIG. 12 is a flowchart illustrating a processing procedure executed by the information processing device;

Hereinafter, embodiments of an information processing apparatus and an information processing method disclosed in the present application will be described in detail with reference to the accompanying drawings. In addition, this invention is not limited by embodiment shown below.

<Overview of information processing method>
First, an overview of the information processing method according to the embodiment will be described below with reference to FIG. FIG. 1 is a diagram showing an overview of an information processing method according to an embodiment.

As shown in FIG. 1, the information processing method according to the embodiment is executed by an information processing apparatus 10 included in an information processing system 1, for example. The information processing apparatus 10 is a server capable of executing various types of processing, such as processing of information regarding the plurality of event facilities 100 and processing of information regarding the vicinity of the plurality of event facilities 100 . Note that the information processing apparatus 10 may be implemented as, for example, a cloud server, or may perform distributed processing using a plurality of servers.

Here, the event facility 100 is, for example, a sports facility where events such as sports games are held, and a facility (venue) where events such as concerts and plays are held. Although FIG. 1 shows an example in which there are two event facilities 100, namely, a first event facility 100a and a second event facility 100b, the number of event facilities 100 is not limited to this and may be three or more. Also, hereinafter, the first event facility 100a, which is one of the two event facilities 100, may be referred to as the "first facility 100a", and the second event facility 100b, the other, as the "second facility 100b". In the case of description without particular distinction, it is described as "facility 100".

Also, the first facility 100a and the second facility 100b are assumed to be relatively close to each other, for example. As an example, it is assumed that the first facility 100a and the second facility 100b are located at the same nearest station. In other words, the first facility 100a and the second facility 100b are located such that the corresponding means of transportation are the same. In the above description, the nearest stations to the first facility 100a and the second facility 100b are the same, but the present invention is not limited to this. It is sufficient if the station is relatively close to the station of

By the way, events may be held at the first facility 100a and the second facility 100b, and the events may end in the same time slot. Also, one large-scale event may be held at both the first facility 100a and the second facility 100b. In such a case, when the event ends, users who use the first facility 100a and the second facility 100b, that is, spectators (participants of the event) come out all at once at the same timing. Therefore, congestion is likely to occur around the facility 100 .

For example, when the above-described users use a transportation system such as a taxi to return home, there is a risk that the users will gather at a taxi stand located near the facility 100, resulting in congestion. Hereinafter, the user may be referred to as "user", and the taxi stand may be referred to as "taxi stand".

In the example shown in FIG. 1, if a taxi stand 200x is located between the first facility 100a and the second facility 100b as indicated by the imaginary line, the user U of the first facility 100a and the user U of the second facility 100b There is a risk that U will concentrate on the taxi stand 200x and congestion will occur (see arrow Ax). It should be noted that the taxi stand 200x is assumed to be of a size that is less likely to cause congestion when an event is held at only one of the first facility 100a and the second facility 100b.

In addition, relatively many taxis C go to the taxi stand 200x in order to pick up the users U of the first and second facilities 100a and 100b. Therefore, there is a risk that the taxis C will be concentrated near the taxi stand 200x and on the road leading to the taxi stand 200x, causing congestion.

In this way, when events are held at the first and second facilities 100a and 100b, respectively, and the events end in similar time slots, the congestion caused by the event at the first facility 100a and the event at the second facility 100b There is a possibility that users U and taxis C will be congested around the first and second facilities 100a and 100b.

Therefore, in the information processing apparatus 10 according to the present embodiment, even when an event is held at each of the plurality of facilities 100, the occurrence of congestion around the plurality of facilities 100 can be avoided. It was configured.

The processing of the information processing device 10 will be specifically described below. Acquire a plurality of event information including (step S1). That is, the information processing apparatus 10 acquires a plurality of pieces of event information including scheduled end times of events held at the plurality of facilities 100 respectively.

For example, the information processing apparatus 10 acquires event information about an event held at the first facility 100a from a server (an event facility information processing apparatus 60a (see FIG. 2) described later) that manages the first facility 100a. The information processing apparatus 10 also acquires event information regarding events held at the second facility 100b from a server (an event facility information processing apparatus 60b (see FIG. 2) described later) that manages the second facility 100b. The event information may include other information such as the number of visitors to the event, in addition to the scheduled end time described above.

Next, the information processing apparatus 10 determines whether or not the scheduled end times of the multiple events are relatively close, more specifically, determines whether or not the scheduled end times of the multiple events are within a predetermined period of time. (Step S2). In other words, the information processing apparatus 10 determines whether the time difference between the scheduled end times of the events for each of the plurality of facilities 100 is within a predetermined period of time. The above-mentioned predetermined time can be set to an arbitrary value, for example, an elapsed time that is estimated to eliminate congestion caused by an event scheduled to end first among a plurality of events after the end of the event. is set to The setting of the predetermined time will be described later.

Therefore, in the process of step S2, the time (predetermined time) during which congestion due to the event is estimated to disappear after one of the events at the first facility 100a and the event at the second facility 100b is completed. It can also be said that this is a process of determining whether or not the scheduled end time of the other event has arrived before the time elapses.

Next, when it is determined that the scheduled end times of the plurality of events are within the predetermined time, the information processing device 10 determines the position of the taxi stand 200 based on the event information (step S3). In other words, the information processing apparatus 10 determines that the scheduled end times of the multiple events are relatively close, and that the congestion caused by the event at the first facility 100a and the congestion caused by the event at the second facility 100b affect each other. In this case, the positions of the taxi stands 200 are determined so that the taxi stands 200 are dispersed based on the event information.

As an example, in addition to or instead of the taxi stand 200x described above, the information processing apparatus 10 may set a position relatively close to the first facility 100a and relatively far from the second facility 100b to the first taxi stand 200a. Determine (set) as a position. Further, the information processing apparatus 10 is located at a position along the road R2 different from the road R1 on which the first taxi stand 200a is set, relatively close to the second facility 100b and relatively far from the first facility 100a. The position is determined (set) as the position of the second taxi stand 200b.

In addition, below, when demonstrating without distinguishing the 1st taxi stand 200a and the 2nd taxi stand 200b, it describes as the "taxi stand 200." Further, the location where the taxi stand 200 is set is, for example, when an event is not held at the facility 100, or when an event is held at only one of the first facility 100a and the second facility 100b. A place that is not a taxi stand, in other words, a place that does not function as a taxi stand. That is, the taxi stand 200 is a stand virtually set around the facility 100, and is a stand newly set, for example, before or after the end of the event. In the above description, the taxi stand 200 is assumed to be a virtual taxi stand, but the present invention is not limited to this, and may be an existing taxi stand.

When the position of the taxi stand 200 is determined, the information processing device 10 may provide the in-vehicle device 50 mounted on the taxi C with the position information of the taxi stand 200, for example. Thereby, the taxi C can move toward the taxi stand 200 and wait. The information processing device 10 can provide the in-vehicle device 50 with route information indicating an appropriate route to the taxi stand 200, which will be described later.

Further, the information processing apparatus 10 may provide the location information of the taxi stand 200 to, for example, a person concerned with the facility 100, the user U, or the like. More specifically, the information processing apparatus 10 may provide the location information of the taxi stand 200 to the users U and persons concerned (event staff) of the facility 100 who direct traffic for the users U around the facility 100 . This enables the concerned parties to appropriately guide the user U to the taxi stand 200 . Also, the user U can confirm the location information of the taxi stand 200 and move to the taxi stand 200 .

By determining the position of the taxi stand 200 in this way, the user U of the first facility 100a and the second facility 100b can move to the first and second taxi stands 200a and 200b as indicated by white arrows A. will be distributed to For example, the user U of the first facility 100a moves to the first taxi stand 200a, and the user U of the second facility 100b moves to the second taxi stand 200b.

As a result, in this embodiment, users U of the first and second facilities 100a and 100b are less likely to concentrate on a specific taxi stand (for example, taxi stand 200x), thereby avoiding congestion.

Moreover, since the positions of the taxi stands 200 are determined to be dispersed, the taxi C is also dispersed and goes to the taxi stands 200 . This makes it difficult for taxis C to concentrate near a specific taxi stand (for example, taxi stand 200x) or on the road leading to the specific taxi stand, thereby avoiding congestion.

As described above, in the present embodiment, even if events are held at a plurality of facilities 100, users U and taxis C are concentrated around the first and second facilities 100a and 100b, causing congestion. can be avoided from occurring. This is the same even when one large-scale event is held at multiple facilities 100 .

Note that the positions and number of taxi stands 200 shown in FIG. 1 are merely examples and are not limited, and can be changed to arbitrary positions and numbers.

Also, the taxi C is an example of a mobile object. Such a mobile body is not limited to the taxi C, and may be other types of transportation such as a bus. Therefore, for example, when the moving object is a bus, the information processing device 10 determines the position of the bus platform based on the event information.

<Configuration of information processing system>
Next, the configuration of the information processing system 1 including the information processing device 10 according to this embodiment will be described with reference to FIG. FIG. 2 is a block diagram showing a configuration example of the information processing system 1. As shown in FIG.

As shown in FIG. 2, the information processing system 1 includes the information processing device 10 described above, a terminal device 40, an in-vehicle device 50, event facility information processing devices 60a and 60b, and a fixed point camera 70. are communicably connected via a communication network N such as the Internet network. In FIG. 2, one terminal device 40, one in-vehicle device 50, and one fixed-point camera 70 are shown for simplification of illustration, but there may be more than one.

The terminal device 40 is a device owned and used by a user. As the terminal device 40, for example, a smart phone, a tablet terminal, or the like can be used, but the terminal device 40 is not limited to this.

The terminal device 40 includes, for example, a GPS receiver that detects position information indicating the user's position (more precisely, the position of the terminal device 40) based on signals from GPS (Global Positioning System) satellites. The terminal device 40 can transmit the detected position information to the information processing device 10 . In addition, the terminal device 40 can receive the position information of the taxi stand 200 determined by the information processing device 10 described above, guidance information to the taxi stand 200, and the like.

Here, the user of the terminal device 40 can request on-demand taxi dispatch. An on-demand taxi is, for example, a taxi that picks up a user at a virtual taxi stand set at an arbitrary position (location) in response to a user's dispatch request. Therefore, for example, when the user desires on-demand taxi dispatch, the terminal device 40 can transmit a dispatch request requesting on-demand taxi dispatch to the information processing apparatus 10 by the user's operation.

The in-vehicle device 50 is a device mounted in a taxi as described above. The in-vehicle device 50 includes, for example, a GPS receiver, and detects vehicle position information indicating the position of the taxi based on signals from GPS satellites. The in-vehicle device 50 can transmit the detected vehicle position information to the information processing device 10 .

The in-vehicle device 50 can transmit operating state information indicating the operating state of the taxi to the information processing device 10 in addition to the vehicle position information described above. The operating state of a taxi means the state (dynamic state) of a taxi such as "empty" or "actual". It should be noted that switching between "empty vehicle" and "actual vehicle" in the in-vehicle device 50 is performed by the operation of the driver.

The in-vehicle device 50 can receive the dispatch instruction including the position information of the taxi stand 200 determined by the information processing device 10 . That is, the dispatch instruction here is an instruction to dispatch the taxi to the taxi stand 200 . When the in-vehicle device 50 receives the dispatch instruction, the taxi moves toward the taxi stand 200 and picks up the passenger (user) at the taxi stand 200 . The dispatch instruction may include route information indicating the route to the taxi stand 200 described above. In such a case, the taxi will go to the taxi stand 200 along the route included in the dispatch instruction.

The event facility information processing device 60a is a server that manages the first facility 100a, for example, a server that manages events held at the first facility 100a. For example, the event facility information processing device 60a is a server capable of executing various types of processing such as processing of event information related to an event held at the first facility 100a. The event facility information processing device 60a transmits event information including information such as the scheduled end time of the event at the first facility 100a, the number of visitors to the event, and the location (position) of the first facility 100a to the information processing device 10. can be sent.

The event facility information processing device 60b is a server that manages the second facility 100b, and is a server that manages events held at the second facility 100b, for example. For example, the event facility information processing device 60b is a server capable of executing various types of processing such as processing of event information related to events held at the second facility 100b. The event facility information processing device 60b transmits event information including information such as the scheduled end time of the event at the second facility 100b, the number of visitors to the event, and the location (position) of the second facility 100b to the information processing device 10. can be sent.

A plurality of fixed-point cameras 70 are installed around the facility 100 or along a travel route from the facility 100 to the nearest station. The fixed-point camera 70 can capture images of the facility 100 and its surroundings and the movement route, and transmit the captured camera images to the information processing device 10 . The camera image of the fixed-point camera 70 is moving image data, but is not limited to this, and may be still image data or the like. Such a camera image is acquired as current congestion information in the information processing apparatus 10, which will be described later.

Note that the fixed-point camera 70 may have a human body detection sensor that detects people around the facility 100 or the like. A pyroelectric sensor using an infrared signal, for example, can be used as the human body detection sensor.

In the above, the information processing apparatus 10 acquires the current congestion information based on the camera image of the fixed-point camera 70, but is not limited to this. congestion information may be acquired. In such a case, in other words, when the camera image of the fixed point camera 70 is not used as current congestion information, the fixed point camera 70 may be removed.

<Configuration of information processing device>
Next, the configuration of the information processing apparatus 10 will be specifically described with reference to FIG. 3 and the like. FIG. 3 is a block diagram showing a configuration example of the information processing apparatus 10. As shown in FIG. In addition, in the block diagram of FIG. 3, only the components necessary for explaining the features of the present embodiment are represented by functional blocks, and the description of general components is omitted.

In other words, each component illustrated in the block diagram of FIG. 3 is functionally conceptual and does not necessarily need to be physically configured as illustrated. For example, the specific forms of distribution and integration of each functional block are not limited to those shown in the figure, and all or part of them can be functionally or physically distributed in arbitrary units according to various loads and usage conditions.・It is possible to integrate and configure.

As shown in FIG. 3 , the information processing device 10 includes a communication section 11 , a control section 20 and a storage section 30 .

The communication unit 11 is a communication interface that is connected to the communication network N so as to enable two-way communication, and transmits and receives information to and from the terminal device 40, the vehicle-mounted device 50, the event facility information processing devices 60a and 60b, the fixed point camera 70, and the like. I do.

The control unit 20 includes a reception unit 21, an acquisition unit 22, a determination unit 23, and a provision unit 24, and includes, for example, a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), Includes computers and various circuits with hard disk drives, input/output ports, etc.

The CPU of the computer functions as the reception unit 21, the acquisition unit 22, the determination unit 23, and the provision unit 24 of the control unit 20 by reading and executing programs stored in the ROM, for example.

In addition, at least one part or all of the reception unit 21, the acquisition unit 22, the determination unit 23, and the provision unit 24 of the control unit 20 is implemented by hardware such as ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array). Can also be configured.

Also, the storage unit 30 is a storage unit configured by a storage device such as a nonvolatile memory, a data flash, or a hard disk drive, for example. The storage unit 30 stores event information 31, predetermined time information 32, user information 33, crowd information 34, road information 35, platform information 36, various programs, and the like.

The event information 31 is information about events held at a plurality of facilities 100 respectively. Here, the event information 31 will be described with reference to FIG. FIG. 4 is a diagram showing an example of the event information 31. As shown in FIG.

As shown in FIG. 4, the event information 31 includes items such as "event ID", "facility name", "facility location", "event name", "number of visitors", and "scheduled end time". and each item is related to each other.

“Event ID” is identification information for identifying event information. "Facility name" is information indicating the name of the facility 100 where the event is held. For example, the "facility name" includes information indicating facility names such as the first facility 100a and the second facility 100b.

“Facility location” is location information indicating the location (position) of the facility 100 . In the example shown in FIG. 4, for the sake of convenience, the "facility location" is abstractly described as "location E1", but it is assumed that "location E1" stores specific information. Other information may also be abstractly described below.

"Event name" is information indicating the name of the event. The “number of visitors” is information indicating the number of people who have visited the facility 100 or the number of people who are scheduled to visit the facility 100 . For example, the "number of visitors" is registered based on information on the number of tickets sold for the event, information on the number of people who actually visited the facility 100 and were counted, and the like. "Scheduled end time" is information indicating the scheduled end time of the event.

In the example shown in FIG. 4, the event information identified by the event ID "D01" has the facility name "first facility", the location of the facility 100 "location E1", the event name "event F1", and the number of visitors indicates that "the number of visitors G1" and the scheduled end time is "time H1".

Returning to the description of FIG. 3, the predetermined time information 32 is information regarding the predetermined time described above. Specifically, the predetermined time information 32 is, for example, information regarding a predetermined time to be compared with the time difference between the scheduled end times of the events of the plurality of facilities 100 . In other words, the predetermined time information 32 is, for example, a determination process ( (described later).

Here, the predetermined time information 32 will be explained using FIG. FIG. 5 is a diagram showing an example of the predetermined time information 32. As shown in FIG. As shown in FIG. 5, the predetermined time information 32 includes items such as "predetermined time ID", "positional relationship", "level of number of visitors" and "predetermined time", and each item is associated with each other. ing. To facilitate understanding, FIG. 5 shows specific contents of the “positional relationship”, “level of number of visitors” and “predetermined time”, but these specific contents are only examples. is not limited to

"Predetermined time ID" is identification information for identifying information indicating a predetermined time. “Positional relationship” is information indicating the positional relationship between a plurality of facilities 100 . “Positional relationship” includes information such as “close” or “distant” positional relationship between a plurality of facilities 100 , for example. For example, when a plurality of facilities 100 are relatively close to each other (for example, when the nearest station is in the same place, or when the distance between the facilities 100 is a predetermined distance or less) , etc.), it is assumed that the plurality of facilities 100 are close to each other. Note that the predetermined distance can be set to any distance. Further, for example, when the positions (locations) of a plurality of facilities 100 are relatively far from each other (for example, when the nearest stations are different and the nearest stations are relatively distant from each other, or when the distance between the facilities 100 is predetermined). When the facilities 100 are located farther than the distance, the positional relationship between the plurality of facilities 100 is considered to be far.

It should be noted that the "distant" positional relationship of the facility 100 described above means that the facility 100 is farther than the "near" positional relationship. It includes positional relationships in which congestion affects each other. In addition, in the example of FIG. 5, the positional relationship of the facility 100 is classified into two stages of "near" and "distant", but the present invention is not limited to this. good too.

“Visitor number level” is information indicating the level of the number of visitors to the facility 100 . For the "level of number of visitors", for example, "Large" when the event is large and the number of visitors is relatively large, and "Small" when the event is smaller than the large scale and the number of visitors is relatively small. is included. In the example of FIG. 5, the level of the number of visitors is classified into two stages of "large" and "small", but the present invention is not limited to this, and the number of visitors may be classified into three or more stages, for example. good too.

The “predetermined time” is, for example, information indicating the time to be compared with the time difference between the scheduled end times of the events for each of the plurality of facilities 100 . As an example, the “predetermined time” is defined as after the event scheduled to end earlier among the multiple events at the multiple facilities 100 ends, the congestion caused by the event disappears, and the congestion caused by the events at the multiple facilities 100 The elapsed time is set so that it is estimated that the flow of people and congestion will stop affecting each other. Also, the "predetermined time" is set for each positional relationship between the plurality of facilities 100 described above and for each level of the number of visitors.

In the example shown in FIG. 5, the predetermined time information identified by the predetermined time ID "I01" is set to "60 minutes" when the positional relationship is "close" and the level of the number of visitors is "large". It indicates that That is, in the case of events held at a plurality of facilities 100 that are close in positional relationship and have a large number of visitors, the time difference between the scheduled end times of the plurality of events is compared with the predetermined time "60 minutes". It indicates that If the time difference is within a predetermined time (60 minutes), it is determined that the flow of people and congestion caused by each event affect each other, and the process of determining the taxi stand 200, etc., which will be described later, is performed. On the other hand, if the time difference is longer than the predetermined time (60 minutes), it is determined that the flow of people and congestion caused by each event do not or hardly influence each other, and the taxi stand 200 determination process is not performed.

Returning to the explanation of FIG. 3, the user information 33 is information about the user. Here, the user information 33 will be explained using FIG. FIG. 6 is a diagram showing an example of the user information 33. As shown in FIG.

As shown in FIG. 6, the user information 33 includes items such as "user ID", "user location", and "dispatch request", and each item is associated with each other.

“User ID” is identification information for identifying the user U. FIG. “User position” is user position information indicating the user U's position. The "dispatch request" is information indicating whether or not there is a taxi dispatch request. Specifically, the “dispatch request” is information indicating whether or not there is a request for dispatch of an on-demand taxi.

In the example shown in FIG. 6, the data of the user U identified by the user ID "J01" indicates that the user position is "position K1" and the dispatch request is "none". Further, the data of the user U identified by the user ID "J02" indicates that the user position is "position K2" and the vehicle dispatch request is "yes".

Returning to the description of FIG. 3, the people flow information 34 is information about the flow of people around the facility 100 or the like. For example, the people flow information 34 is information indicating the result of a people flow simulation that predicts the flow of people around the facility 100 after the event ends.

Here, the people flow information 34 will be described with reference to FIG. FIG. 7 is a diagram showing an example of the people flow information 34. As shown in FIG. As shown in FIG. 7, the people flow information 34 includes items such as "place" and "estimated congestion degree", and each item is associated with each other.

A “point” is information indicating a point (place) where a flow of people is estimated. The “point” includes, for example, information indicating a position such as the vicinity of the facility 100 or a moving route from the facility 100 to a predetermined point such as the nearest station.

"Estimated degree of congestion" is information indicating the estimated degree of congestion. The degree of congestion is an index value indicating the degree of congestion around the facility 100, and is indicated by several levels according to, for example, the number of people estimated to move around the facility 100 (density of people). Information. Therefore, it can be said that the estimated congestion degree is congestion information indicating the estimated congestion situation around the facility 100 or the like. In addition to or instead of the "estimated degree of congestion", the people flow information 34 includes information such as the estimated moving speed of people around the facility 100, the estimated number of people around the facility 100, and the like. may be included.

The example shown in FIG. 7 indicates that the estimated congestion degree is “congestion degree M1” at “point L1”.

Returning to the explanation of FIG. 3 , the road information 35 is information about roads around the plurality of facilities 100 . Note that the “road” here includes roads on which vehicles such as taxis travel and roads on which people such as users (pedestrians) walk, but is not limited to these.

Here, the road information 35 will be explained using FIG. FIG. 8 is a diagram showing an example of the road information 35. As shown in FIG. As shown in FIG. 8, the road information 35 includes items such as "road ID", "road location", "road shape" and "congestion information", and each item is associated with each other.

"Road ID" is identification information for identifying a road. "Road location" is information indicating the location of a road. "Road shape" is information indicating the shape of a road. For example, "road shape" may include information such as road width, number of lanes, slope, etc. Furthermore, information such as road shape that is narrow and allows only one-way traffic, road shape that is wide and less congested, etc. may be included.

"Congestion information" is information indicating a traffic congestion situation on a road. Note that the congestion information is not limited to current congestion information, and may be congestion prediction information. In the example shown in FIG. 8, the event information identified by the road ID "N01" indicates that the location of the road is "place P1", the shape of the road is "road shape Q1", and the traffic information is "traffic jam information R1". showing.

Returning to the explanation of FIG. 3 , the boarding point information 36 is information about the taxi boarding point 200 . Here, the platform information 36 will be described with reference to FIG. FIG. 9 is a diagram showing an example of the platform information 36. As shown in FIG.

As shown in FIG. 9, the platform information 36 includes items such as "platform ID" and "platform position", and each item is associated with each other.

“Platform ID” is identification information for identifying the taxi stand 200 . “Position of taxi stand” is position information indicating the position of the determined (set) taxi stand 200 . In the example shown in FIG. 9, the data of the taxi stand 200 identified by the stand ID "T01" indicates that the position of the stand is "Position U1".

Returning to the description of FIG. 3 , the reception unit 21 of the control unit 20 can receive a vehicle allocation request transmitted from the terminal device 40 . Upon receiving a dispatch request requesting dispatch of an on-demand taxi, the reception unit 21 registers information indicating that the dispatch request has been received in the user information 33 (see FIG. 6).

The acquisition unit 22 acquires various types of information via the communication unit 11 . For example, the acquiring unit 22 acquires a plurality of pieces of event information regarding events held at a plurality of facilities 100 and including the scheduled end time of the event for each of the plurality of facilities 100 . That is, the acquiring unit 22 acquires a plurality of pieces of event information including the scheduled end times of the events held at the plurality of facilities 100 respectively.

For example, the acquiring unit 22 acquires event information about an event held at the first facility 100a from the event facility information processing device 60a. The information processing device 10 acquires event information regarding an event held at the second facility 100b from the event facility information processing device 60b. Then, the acquiring unit 22 registers the acquired event information of each facility 100 in the storage unit 30 as the event information 31 (see FIG. 4). The event information acquired by the acquisition unit 22 includes information such as the facility name of the facility 100, the location (position) of the facility, the event name, the number of visitors, and the scheduled end time, but is limited to these. is not.

The acquisition unit 22 also acquires user position information. For example, the acquisition unit 22 acquires position information from the terminal device 40 and registers it as user position information in the user information 33 of the storage unit 30 .

The acquisition unit 22 also acquires current congestion information. For example, the acquisition unit 22 may acquire the current congestion information based on the camera image of the fixed point camera 70 (see FIG. 2). For example, the acquisition unit 22 analyzes a camera image transmitted from a fixed-point camera 70 installed around the facility 100, measures the number of people around the facility 100, and includes the degree of congestion corresponding to the measured number of people. The congestion information is output to the determination unit 23 as current congestion information around the facility 100 . In addition to or instead of the fixed-point camera 70, the acquisition unit 22 may acquire congestion information based on the position information of the terminal device 40, for example.

The acquisition unit 22 also acquires road information about roads around the facility 100 and registers it in the storage unit 30 as road information 35 (FIG. 8). The road information is transmitted from, for example, an external server (not shown), but is not limited to this, and part or all of the road information may be stored in the storage unit 30 in advance.

The determination unit 23 can perform determination processing for determining the position of the taxi stand (taxi stand 200 ) for the user of the facility 100 . The determination unit 23 registers information indicating the determined position of the taxi stand 200 in the stand information 36 (see FIG. 9).

For example, prior to the determination process, the determination unit 23 first performs a determination process of determining whether or not the flow of people and congestion resulting from each event affect each other when each event is held at a plurality of facilities 100 . Specifically, the determination unit 23 determines that the congestion caused by the event at the first facility 100a and the congestion caused by the event at the second facility 100b affect each other, and the user and the taxi around the first and second facilities 100a and 100b judgment processing for judging whether or not there is a possibility that congestion will occur. Note that the determination unit 23 performs determination processing when it is determined in the determination processing that the flow of people and congestion caused by each event affect each other.

Determination processing will be described in detail below. determine whether or not the flow of people and congestion caused by

Specifically, the determining unit 23 first sets a predetermined time used in the determination process, more specifically, sets a predetermined time to be compared with the time difference between the scheduled end times of the events of the plurality of facilities 100 . For example, the determination unit 23 sets the predetermined time based on the event information and the predetermined time information 32 (see FIG. 5).

For example, the determination unit 23 obtains the positional relationship between the plurality of facilities 100 based on the positions of the plurality of facilities 100 as event information. As described above, the positional relationship is defined as "close" when the positions (places) of the plurality of facilities 100 are relatively close to each other, based on the nearest station to the plurality of facilities 100, the distance between the facilities 100, and the like. , is defined as "distant" when relatively far.

Further, the determining unit 23 obtains the level of the number of visitors at the plurality of facilities 100 based on the number of visitors at the plurality of facilities 100, which is the event information. As described above, the level of the number of visitors is "Large" when the event is large and the number of visitors is relatively large, and "Small" when the event is smaller than the large scale and the number of visitors is relatively small. It is said that

Subsequently, the determination unit 23 determines the predetermined time period based on the positional relationship between the plurality of facilities 100, the level of the number of visitors, and the predetermined time information 32 (see FIG. 5) obtained as described above. set. As shown in FIG. 5, the predetermined time is set longer as the positional relationship becomes closer, and is set longer as the level of the number of visitors increases. Conversely, the predetermined time is set shorter as the positional relationship becomes farther, and set shorter as the level of the number of visitors decreases.

Then, the determining unit 23 determines whether or not the scheduled end time of each of the plurality of facilities 100, which is the event information, is within the set predetermined time. It is determined whether or not the time difference between the times is within a set predetermined time.

Here, if it is determined that the scheduled end times for each of the plurality of facilities 100 are within a predetermined time period, that is, if it is determined that the time difference between the scheduled end times is within a predetermined time period, the determination unit 23 determines that each event It is determined that the flow of people and congestion caused by On the other hand, if it is determined that the scheduled end times for each of the plurality of facilities 100 are not within the predetermined time period, that is, if it is determined that the time difference between the scheduled end times is longer than the predetermined time period, the determination unit 23 It is determined that the flow of people and congestion that occur do not influence each other, or that they are unlikely to influence each other.

As described above, in the present embodiment, since the predetermined time is set based on the positional relationship between the plurality of facilities 100, the predetermined time is set to an appropriate time according to the positional relationship between the plurality of facilities 100. can be set to In this embodiment, the predetermined time is compared with the time difference between the scheduled end times for each of the plurality of facilities 100. Therefore, when each event is held at each of the plurality of facilities 100, It is possible to accurately determine whether or not the resulting flow of people and congestion affect each other.

Further, in this embodiment, since the predetermined time is set based on the number of visitors to the plurality of facilities 100, the predetermined time is set to an appropriate time according to the number of visitors to the plurality of facilities 100. it becomes possible to In this embodiment, the predetermined time is compared with the time difference between the scheduled end times for each of the plurality of facilities 100. Therefore, when each event is held at each of the plurality of facilities 100, It is possible to accurately determine whether or not the resulting flow of people and congestion affect each other.

In the above description, the predetermined time is set based on both the positional relationship between the facilities 100 and the number of visitors, but the setting is not limited to this. That is, the predetermined time may be set based on, for example, the positional relationship between the plurality of facilities 100 and the number of visitors, or may be set based on other types of information in addition to or instead of the positional relationship and the number of visitors. may be set based on

Then, in the determination process described above, the determination unit 23 determines that the flow of people and congestion caused by each event influence each other, and there is a risk that congestion of users and taxis will occur around the first and second facilities 100a and 100b. If there is, determine the location of the taxi stand 200 .

For example, the determining unit 23 determines the position of the taxi stand 200 based on the event information. Determination of the position of this taxi stand 200 will be described with reference to FIG. FIG. 10 is a diagram for explaining the process of determining the position of the taxi stand 200. As shown in FIG.

As shown in FIG. 10, for example, the determination unit 23 may determine (set) a position relatively close to the first facility 100a and relatively far from the second facility 100b as the position of the first taxi stand 200a. can. In other words, the determining unit 23 determines the first taxi stand 200a used by the user U of the first facility 100a to be located at a position that is difficult for the user U of the second facility 100b to use.

As a result, users U of the second facility 100b do not often come to the first taxi stand 200a, so it is possible to avoid congestion around the facility 100 including the first taxi stand 200a.

Further, the determining unit 23 selects a position along the road R2 that is different from the road R1 on which the first taxi stand 200a is set, and is relatively close to the second facility 100b and relatively far from the first facility 100a. can be determined (set) as the position of the second taxi stand 200b. In other words, the determination unit 23 determines the second taxi stand 200b used by the user U of the second facility 100b to be located at a location that is difficult for the user U of the first facility 100a to use.

As a result, users U of the first facility 100a do not often come to the second taxi stand 200b, so it is possible to avoid congestion around the facility 100 including the second taxi stand 200b.

Further, the determination unit 23 determines a position other than the position between the plurality of facilities 100 (the area X between the first facility 100a and the second facility 100b in the example of FIG. 10) as the position of the taxi stand. can be Conversely, the determination unit 23 may not determine the position (area X) between the plurality of facilities 100 as the position of the taxi stand.

As a result, the taxi stand is set at a position other than the area X where the users U of the first and second facilities 100a and 100b are likely to be congested, so that the occurrence of congestion around the facility 100 can be further avoided. Become.

Further, the determination unit 23 can determine (set) the lane opposite to the lane on which the first taxi stand 200a is set on the road R1 as the position of the third taxi stand 200c. As a result, the users U of the second facility 100b are dispersed to move to the second taxi stand 200b and the third taxi stand 200c. It is possible to avoid congestion. In addition, since the traveling direction of the taxis at the first and third taxi stands 200a and 200c is reversed, it is possible to avoid congestion of taxis around the facility 100. FIG.

Further, when receiving an on-demand taxi dispatch request, the determination unit 23 sets a location different from the location of the taxi stand determined when the scheduled end times of the plurality of events are outside the predetermined time. may be determined as the position of

Specifically, if the scheduled end time of the event at the first facility 100a and the scheduled end time of the event at the second facility 100b are outside the predetermined time, that is, if they are not within the predetermined time, congestion will not affect each other. , the area around the facility 100 is relatively less crowded. Therefore, the determining unit 23 can determine, for example, the vicinity of the exit of the facility 100 where the user U who made the dispatch request is located to be the location of the taxi stand.

On the other hand, if the scheduled end time of the event at the first facility 100a and the scheduled end time of the event at the second facility 100b are within the predetermined time, congestion affects each other. It is predicted that the vicinity of the exit of the facility 100 where there was a traffic jam will be congested.

Therefore, in the determination unit 23 according to the present embodiment, a position different from the position of the taxi stand (near the exit of the facility 100 in the above) determined when the scheduled end times of a plurality of events are outside the predetermined time is determined as the position of the taxi stand 200 . For example, the determination unit 23 determines the second taxi stand 200b or the third taxi stand 200c as the on-demand taxi stand. This makes it possible to further avoid congestion around the facility 100 .

If there is a time difference between the scheduled end times of the events, the determination unit 23 may change the location of the taxi stand 200 or increase or decrease the number of taxi stands 200 over time. As a result, the positions and numbers of the taxi stands 200 can be adapted to the passage of time, thereby effectively avoiding congestion around the facility 100.例文帳に追加

Further, the determining unit 23 may determine the position of the taxi stand 200 based on the number of visitors included in the event information. For example, the determining unit 23 determines that the number of taxi stands 200 used by the users U of the facility 100 with the larger number of visitors is larger than the number of the taxi stands 200 used by the users U of the facility 100 with the smaller number of visitors. You may determine the location of the taxi stand 200 so that there may be many. This makes it easier to distribute the users U of the facility 100 with the larger number of visitors, thereby effectively avoiding congestion around the facility 100 .

Further, the determination unit 23 may determine the position of the taxi stand 200 based on the information on the flow of people. For example, the determining unit 23 estimates information on the flow of people around the facility 100 based on a plurality of event information. For example, when estimating information on the flow of people after an event, the determination unit 23 reads out the event information 31 and the road information 35 from the storage unit 30, the number of visitors to each event, the scheduled end time of each event, the shape of the road, the road People flow information is estimated based on various information such as traffic congestion information. In other words, the determining unit 23 simulates the flow of people around the facility 100 based on a plurality of pieces of event information, etc., and predicts the flow of people around the facility 100 after the end of the event. The determination unit 23 registers the estimated people flow information as the people flow information 34 (see FIG. 7) in the storage unit 30 .

As an example, the determination unit 23 estimates people flow information using an estimation model. The estimation model is a prediction model that estimates and outputs people flow information around the facility 100 by inputting various types of static and dynamic information in a plurality of event information and the like. The estimation model is generated in advance and stored in the storage unit 30 based on people flow data obtained as measurement results from past events, event information, transportation information, and environment information such as weather. It should be noted that the method of estimating the flow of people information described above is merely an example and is not limited.

Then, for example, the determination unit 23 may determine the location of the taxi stand 200 based on the information on the flow of people after the end of the event, where the degree of congestion estimated around the facility 100 is relatively low. As a result, the users U coming out of the facility 100 are likely to be distributed to locations where it is estimated that congestion will not occur easily, so that the occurrence of congestion around the facility 100 can be effectively avoided.

Continuing with the description of FIG. 3 , the providing unit 24 provides guidance information to the taxi stand 200 . For example, the providing unit 24 can provide guidance information to the taxi stand 200 according to position information indicating the user's position.

As an example, when the user's position (more precisely, the position of the terminal device 40) is near the first facility 100a, the providing unit 24 individually provides the terminal device 40 of the user with a position close to the first facility 100a. Guidance information indicating guidance to the first taxi stand 200a is provided. Further, when the user is located near the second facility 100b, the providing unit 24 individually instructs the terminal device 40 of the user to the second and third taxi stands 200b and 200c near the second facility 100b. Provide guidance information indicating guidance. This allows the user to smoothly move to the taxi stand 200 corresponding to his/her position, thereby effectively avoiding congestion around the facility 100 .

In the above description, the providing unit 24 provides guidance information to the terminal device 40 of the user, but the present invention is not limited to this. That is, for example, a plurality of guide displays (not shown) are installed in advance around the facility 100, and the provision unit 24 provides guidance information according to the installation positions of the guide displays (for example, directions to the taxi stand 200 near the installation position). guidance information, etc.) may be provided to the guidance display.

Further, when there is a time difference between the scheduled end times of the events, the providing unit 24 may change the content of the guidance information to the taxi stand 200 as time elapses. As an example, when the event at the first facility 100a has ended and the event at the second facility 100b has not ended, the providing unit 24 instructs the user at the first facility 100a to the first taxi stand near the first facility 100a. 200a and the second and third taxi stands 200b and 200c close to the second facility 100b. At this time, the providing unit 24 may select the taxi stand 200 to guide according to the location of the user, the state of congestion, and the like.

Then, when the event at the second facility 100b ends (preferably at a timing just before the event ends), the providing unit 24 provides the user of the first facility 100a with a first taxi near the first facility 100a. Only guidance information to the platform 200a is provided. On the other hand, the providing unit 24 provides the user of the second facility 100b with guidance information to the second and third taxi stands 200b and 200c near the second facility 100b.

After that, when the users of the first facility 100a move by taxi or the like or move to the nearest station and the number of users near the first facility 100a decreases, the providing unit 24 provides the users of the second facility 100b with the 2. In addition to the third taxi stands 200b and 200c, start providing guidance information to the first taxi stand 200a near the first facility 100a. As a result, it becomes possible to provide the guidance information with appropriate contents according to the passage of time after the end of the event, for example, thereby effectively avoiding the occurrence of congestion around the facility 100. - 特許庁can be done.

In addition to determining the position of the taxi stand 200 described above, the determination unit 23 can also determine the route of the taxi heading to the taxi stand 200 . Determination of this taxi route will be described with reference to FIG. 11A and 11B are diagrams for explaining the process of determining the taxi route to the taxi stand 200. FIG.

As shown in FIG. 11, for example, the determining unit 23 can determine a route Wa for a taxi heading to a taxi stand 200 (first taxi stand 200a in the example of FIG. 11) based on road information. Then, the providing unit 24 can provide the determined route Wa to the taxi (more precisely, the in-vehicle device 50 of the taxi).

Specifically, based on the road information, the determining unit 23 determines that the taxis heading for the taxi stand 200 (first taxi stand 200a) travel in the same direction and arrive at the taxi stand 200 (first taxi stand 200a). , the route Wa of the taxi can be determined. The section in which the vehicle travels in the same direction can be set arbitrarily, and is set between intersections Y1 and Y2 across a plurality of facilities 100, for example.

As a result, it is possible to effectively avoid congestion of taxis around the facility 100 . For example, if a vehicle such as a taxi intrudes from the route Wb1 or Wb2 on the road R1, it may take time for the taxi to arrive at the first taxi stand 200a.

Therefore, the determination unit 23 according to the present embodiment determines the route Wa of the taxi so that the taxis heading for the first taxi stand 200a travel in the same direction and arrive at the first taxi stand 200a, and the route Wb1 and the route Wb1 are determined. A vehicle such as a taxi is prevented from entering from the route Wb2 or the like.

As a result, all the taxis heading to the first taxi stand 200a travel along the route Wa in the same direction, so that the taxis arrive at the first taxi stand 200a early. In addition, even after the user has boarded at the first taxi stand 200a, the taxi can depart smoothly from the first taxi stand 200a. Therefore, it is possible to effectively avoid congestion of taxis around the facility 100 .

Note that the providing unit 24 may provide the determined location information of the taxi stand 200 and the route Wa to taxis traveling near the facility 100 regardless of the operating status information of the taxis. May be provided for "empty" taxis.

<Control processing of information processing device>
Next, an example of a specific processing procedure in the information processing apparatus 10 will be described with reference to FIG. 12 . FIG. 12 is a flow chart showing a processing procedure executed by the information processing apparatus 10. As shown in FIG.

As shown in FIG. 12 , the control unit 20 of the information processing apparatus 10 controls a plurality of event information items related to events held at a plurality of facilities 100, including the scheduled end time of the event for each of the plurality of facilities 100. is obtained (step S10). Next, the control unit 20 sets a predetermined time based on the positional relationship between the plurality of facilities 100, the number of visitors to the facilities 100 (for example, the level of the number of visitors), and the like (step S11).

Next, the control unit 20 determines whether or not the scheduled end time of the event for each of the plurality of facilities 100 is within the set predetermined time (step S12). If it is determined that the scheduled end time of the event is not within the predetermined time (step S12, No), the control unit 20 skips the subsequent processes.

On the other hand, when it is determined that the scheduled end time of the event is within the predetermined time (step S12, Yes), the control unit 20 determines whether there is a possibility that the existing taxi stand 200x (see FIG. 1) will be congested. is determined (step S13).

For example, the control unit 20 determines whether an existing taxi stand 200x (see FIG. 1) exists between a plurality of facilities 100, or when taxis departing from taxi stands corresponding to a plurality of facilities 100 travel in the same direction. , it is determined that there is a possibility of congestion.

If it is determined that there is no possibility that the taxi stand 200x will be congested (step S13, No), the control unit 20 skips the subsequent processes. On the other hand, when it is determined that the taxi stand 200x may be congested (step S13, Yes), the control unit 20 determines the taxi stand 200 based on event information and the like (step S14).

Next, the control unit 20 executes the dispatching process of providing the taxi with the determined location information of the taxi stand 200, the route information to the taxi stand 200, and the like (step S15).

As described above, the information processing device 10 according to the embodiment includes the acquisition unit 22 and the determination unit 23 . The acquiring unit 22 acquires a plurality of pieces of event information regarding events held at a plurality of facilities 100 (event facilities) and including the scheduled end time of the event for each of the plurality of facilities 100 . The determining unit 23 determines the positions of taxi (an example of a mobile object) stand for users of the plurality of facilities 100 based on the plurality of pieces of event information acquired by the acquiring unit 22 . As a result, even when events are held at a plurality of event facilities, it is possible to avoid congestion around the plurality of event facilities.

In the above description, the information processing apparatus 10 performs various processes such as determining the position of the taxi stand 200 and determining the route, but the apparatus that performs various processes is limited to the information processing apparatus 10. is not. That is, part or all of the processing performed by the information processing device 10 may be performed by the terminal device 40, the in-vehicle device 50, and the event facility information processing devices 60a and 60b.

Further effects and modifications can be easily derived by those skilled in the art. Therefore, the broader aspects of the invention are not limited to the specific details and representative embodiments so shown and described. Accordingly, various changes may be made without departing from the spirit or scope of the general inventive concept defined by the appended claims and equivalents thereof.

10 information processing device 20 control unit 21 reception unit 22 acquisition unit 23 determination unit 24 provision unit

Claims (11)

an acquisition unit for acquiring a plurality of pieces of event information relating to an event held at a plurality of event facilities, the event information including a scheduled end time of the event for each of the plurality of event facilities;
an information processing apparatus, comprising: a determination unit that determines positions of landings of mobile bodies for users of the plurality of event facilities based on the plurality of pieces of event information acquired by the acquisition unit. The decision unit
2. The information processing apparatus according to claim 1, wherein when the scheduled end times for each of the plurality of event facilities are within a predetermined period of time, the position of the platform is determined based on the plurality of event information. The acquisition unit
Acquiring the positions of the plurality of event facilities as the event information;
The decision unit
A positional relationship between the plurality of event facilities is obtained based on the positions of the plurality of event facilities, the predetermined time is set based on the obtained positional relationship, and the scheduled end time for each of the plurality of event facilities is determined. 3. The information processing apparatus according to claim 2, wherein the position of the boarding point is determined if it is within the set predetermined time. The acquisition unit
Acquiring the number of visitors to the event facility as the event information;
The decision unit
setting the predetermined time based on the number of visitors to the event facility, and determining the position of the platform when the scheduled end time for each of the plurality of event facilities is within the set predetermined time. 4. The information processing apparatus according to claim 2 or 3. The acquisition unit
Acquiring road information about roads around the plurality of event facilities;
The decision unit
5. The information processing apparatus according to any one of claims 1 to 4, wherein a route of said moving object heading for said platform is determined based on said road information acquired by said acquisition unit. The decision unit
6. The route according to claim 5, wherein, based on the road information, the route of the moving objects is determined so that a plurality of the moving objects traveling to the platform travel in the same direction and arrive at the platform. information processing equipment. The decision unit
The information processing apparatus according to any one of claims 1 to 6, wherein a position other than a position between the plurality of event facilities is determined as the position of the platform. a reception unit that receives a vehicle allocation request requesting allocation of the mobile body;
The decision unit
Determining, as the position of the platform, a position different from the position of the platform determined when the scheduled end times of the plurality of events are outside a predetermined time period when the request for dispatching the vehicle is received by the reception unit. The information processing apparatus according to any one of claims 1 to 7, characterized by: 9. The information processing apparatus according to any one of claims 1 to 8, further comprising: a providing unit that provides guidance information to the platform according to position information indicating the position of the user of the event facility. The information processing apparatus according to any one of claims 1 to 9, wherein the moving body is a taxi or a bus. an acquisition step of acquiring a plurality of pieces of event information relating to an event held at a plurality of event facilities, the event information including a scheduled end time of the event for each of the plurality of event facilities;
and a determination step of determining positions of landings of mobile bodies for users of the plurality of event facilities based on the plurality of pieces of event information acquired by the acquisition step.

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