Transit route proposal device and transit route proposal method

JP7643162B2Active Publication Date: 2025-03-11NISSAN MOTOR CO LTD
View PDF 6 Cites 0 Cited by

Patent Information

Application Number
JP2021073195
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2021-04-23
Publication Date
2025-03-11
Estimated Expiration
2041-04-23

AI Technical Summary

Benefits of technology

【0007】 本発明によれば、乗り継ぎにおける接触人数を低減させることが可能となる。

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 0007643162000002
    Figure 0007643162000002
  • Figure 0007643162000003
    Figure 0007643162000003
  • Figure 0007643162000004
    Figure 0007643162000004
Patent Text Reader

Abstract

To provide a transit route proposal device and a transit route proposal method, capable of reducing the number of contact persons in transit.SOLUTION: A administrative server 20 extracts a plurality of transit route candidates where transit is possible when transit of movement means is needed, predicts the number of contact persons indicating the number of other users who contact for a unit time in a predetermined range of users at a transit point for each of the plurality of extracted transit route candidates on the basis of predetermined information, and proposes to the user the transit route candidate where the number of contact persons is small with priority over the transit route candidate where the number of contact persons is large among the plurality of transit route candidates.SELECTED DRAWING: Figure 1
Need to check novelty before this filing date? Find Prior Art

Description

[Technical field]

[0001] The present invention relates to a connecting route proposing device and a connecting route proposing method. [Background technology]

[0002] 2. Description of the Related Art Conventionally, there has been known an invention that provides a user with an alternative route that avoids using crowded stations when transferring between modes of transport (Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 6470010 Summary of the Invention [Problem to be solved by the invention]

[0004] However, during periods when an infectious disease is prevalent, it is necessary to consider the length of time that one will be in contact with others, but this is not taken into consideration in the invention described in Patent Document 1. Even in places where the degree of crowding is low, if one stays there for a long time, there is a risk that the number of people with whom one comes into contact will increase.

[0005] The present invention has been made in consideration of the above problems, and has an object to provide a connecting route proposing device and a connecting route proposing method that are capable of reducing the number of people who come into contact with each other during a transfer. [Means for solving the problem]

[0006] A transfer route suggestion device according to one embodiment of the present invention extracts multiple transfer route candidates from which a transfer is possible when a transfer of transportation means is necessary, predicts, for each of the extracted transfer route candidates, a contact number indicating the number of other users who will come into contact with the user within a specified range at the transfer point per unit time based on specified information, and suggests to the user, among the multiple transfer route candidates, transfer route candidates with fewer contact numbers in priority over transfer route candidates with a larger number of contact numbers. Effect of the Invention

[0007] According to the present invention, it is possible to reduce the number of people who come into contact with each other during a transfer. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 is a schematic diagram of a connecting route suggestion system 10 according to an embodiment of the present invention. [Diagram 2] FIG. 2 is a functional block diagram of the management server 20, the communication device 60, and the taxi 40 according to the embodiment of the present invention. [Diagram 3] FIG. 3 is a diagram illustrating a plurality of connecting route candidates. [Figure 4] FIG. 4 is a diagram for explaining the number of contacts. [Diagram 5] FIG. 5 is a diagram for explaining an example of a route suggestion method. [Figure 6] FIG. 6 is a flowchart illustrating an example of an operation of the connecting route suggestion device according to the embodiment of the present invention. [Figure 7] FIG. 7 is a flowchart illustrating an example of the operation of the connecting route proposal device according to the modified example of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In the description of the drawings, the same parts are given the same reference numerals and the description will be omitted.

[0010] An example of the configuration of a transit route proposal system 10 according to this embodiment will be described with reference to Figs. 1 and 2. As shown in Fig. 1, the transit route proposal system 10 includes a management server 20, a communication network 30, taxis 40 to 42, a user 70, and a communication device 60 owned by the user 70. Note that, although there are three taxis in Fig. 1, this is not limiting. The transit route proposal system 10 may include four or more taxis.

[0011] The management server 20 communicates with the taxis 40-42 and the communication device 60 via the communication network 30. The management server 20 is a general-purpose computer including a CPU (Central Processing Unit) 21, a memory 22, a communication I / F 23, and a storage device 24, and these components are electrically connected via a bus (not shown). The management server 20 is used for the dispatch service of the taxis 40-42. There are no particular limitations on where the management server 20 is installed, but for example, the management server 20 is installed in the management center of the company that operates the taxis 40-42.

[0012] The CPU 21 loads various programs stored in the storage device 24 or the like into the memory 22 and executes various commands contained in the programs. The memory 22 is a storage medium such as a read only memory (ROM) or a random access memory (RAM). The storage device 24 is a storage medium such as a solid state drive (SSD) or a hard disk drive (HDD). Note that a part (or the whole) of the transit route proposal system 10 including the functions of the management server 20 described below may be provided by an application (such as Software as a Service (SaaS)) arranged on the communication network 30.

[0013] The communication I / F 23 is implemented as hardware such as a network adapter, various communication software, or a combination of these, and is configured to realize wired or wireless communication via the communication network 30. In addition, the communication I / F 23 has functions as an input unit and an output unit for transmitting and receiving data.

[0014] The communication network 30 may be configured using either a wireless or wired system, or both, and may include the Internet. In this embodiment, the management server 20, the taxis 40 to 42, and the communication device 60 are connected to the communication network 30 using a wireless communication system.

[0015] The taxis 40 to 42 may be normal vehicles with a driver, or may be autonomous vehicles without a driver. An autonomous vehicle without a driver may be expressed as a robot taxi or an unmanned taxi. In this embodiment, the taxis 40 to 42 will be described as autonomous vehicles without a driver.

[0016] A user 70 requests (reserves) a taxi using a communication device 60. A transit dispatch application (hereinafter simply referred to as a transit dispatch app) used for reserving a taxi is installed in the communication device 60, and the user 70 requests a taxi using the transit dispatch app.

[0017] Next, detailed configurations of the management server 20, the taxi 40, and the communication device 60 will be described with reference to Fig. 2. Although the taxis 41 and 42 are omitted in Fig. 2, the taxis 41 and 42 have the same configuration as the taxi 40.

[0018] The communication device 60 includes a communication I / F 601, a transit dispatch application 602, a GPS receiver 603, and a display 604. The communication I / F 601 has a configuration similar to that of the communication I / F 23 (see FIG. 1), and communicates with the management server 20 via the communication network 30. The communication device 60 is, for example, a portable device such as a smartphone or a tablet. The communication device 60 may also be a wearable device. Although not shown in the figure, the communication device 60 also includes a CPU (controller), a memory, a storage device, and the like, similar to the management server 20.

[0019] The transfer dispatch application 602 is used to request a taxi as described above. The transfer dispatch application 602 functions as a user interface when the user 70 requests a taxi. The transfer dispatch application 602 is realized by a CPU provided in the communication device 60 reading and executing a dedicated application program from a storage device provided in the communication device 60. When the user 70 requests a taxi, the user 70 inputs a desired boarding location, a desired boarding time, a desired disembarking location, and the like into the transfer dispatch application 602 and requests a taxi. In this embodiment, "transfer is required" means that the user 70 is on a train at the time of the request and needs to transfer to a taxi at the station where the user disembarks from the train to head to the destination. The user 70 does not necessarily need to input a desired boarding location and a desired boarding time. This will be described later.

[0020] The transit vehicle dispatch application 602 transmits a vehicle dispatch request to the management server 20 in accordance with the input of the user 70. The communication device 60 also displays on the display 604 various pieces of information (receipt of vehicle dispatch request, estimated arrival time, planned driving route, number of contacts, etc.) contained in the signal returned from the management server 20 in response to the vehicle dispatch request. However, the method of realizing the transit vehicle dispatch application 602 is not limited to this. For example, the communication device 60 may access a server that provides the functions of the transit vehicle dispatch application 602 to receive the functions, and display the execution results of the functions transmitted from the server on the browser. The number of contacts will be described later.

[0021] The position information of the communication device 60 acquired by the GPS receiver 603 is transmitted to the management server 20 at any timing.

[0022] The taxi 40 includes a communication I / F 401, a vehicle ECU (Electronic Control Unit) 402, and a GPS receiver 403. The communication I / F 401 has a configuration similar to that of the communication I / F 23 and the communication I / F 601, and communicates with the management server 20 via the communication network 30. The vehicle ECU 402 is a computer for controlling the taxi 40. The vehicle ECU 402 controls various actuators (such as a brake actuator, an accelerator actuator, and a steering actuator) based on commands received from the management server 20. Position information of the taxi 40 acquired by the GPS receiver 403 is transmitted to the management server 20 at any timing.

[0023] 2, the CPU 21 (controller) of the management server 20 includes, as examples of a plurality of functions, a vehicle dispatch reception unit 211, an allocation unit 212, a route extraction unit 213, a location information acquisition unit 214, a required time calculation unit 215, a population density prediction unit 216, a contact number prediction unit 217, and a route proposal unit 218. As shown in FIG. 2, the storage device 24 of the management server 20 stores a map database 241, a customer database 242, an event information database 243, and a transportation congestion information database 244.

[0024] The map database 241 stores map information necessary for route guidance, such as road information and facility information. The map information includes the number of lanes on a road, road width information, and road undulation information. The map information also includes road signs indicating speed limits, one-way streets, and road markings indicating crosswalks, dividing lines, and the like.

[0025] The customer database 242 stores account information such as the ID of the user 70, a taxi usage history, etc. The taxi usage history is a history of use of the transit route proposal system 10 according to this embodiment.

[0026] The vehicle dispatch reception unit 211 receives a vehicle dispatch request from the user 70 input to the communication device 60. The vehicle dispatch reception unit 211 has a function of notifying the communication device 60 of the fact that the vehicle dispatch request from the user 70 has been received, the scheduled arrival time at the boarding location, the scheduled driving route to the boarding location, and the like.

[0027] The allocation unit 212 allocates an appropriate taxi from among the multiple taxis 40 to 42 (see FIG. 1) based on the received dispatch request. For example, for the purpose of efficiency, the dispatch reception unit 211 can allocate an available taxi that is closest to the boarding location desired by the user 70 from among the multiple taxis 40 to 42.

[0028] Furthermore, the allocation unit 212 sets a travel route from the current location of the allocated taxi to the boarding location desired by the user 70 with reference to the map database 241, and sends a command to the taxi 40 to travel along the set travel route to the boarding location desired by the user 70. The travel route calculated by the allocation unit 212 is, for example, a route that can arrive at the boarding location desired by the user 70 in the shortest time from the current location of the taxi 40. Note that, if the route extraction unit 213 determines that a transfer of transportation means is necessary, the route may be set by another method.

[0029] When it is determined that a transfer of transportation means is necessary, the route extraction unit 213 extracts a plurality of possible transfer route candidates. Here, the possible transfer route candidates will be described with reference to FIG. 3. In the scene shown in FIG. 3, the user 70 is on a train 80 heading to station A 81. Reference numeral 83 is the destination of the user 70. The user 70 on the train 80 operates the transfer dispatch application 602 to request a taxi. In the scene of FIG. 3, it is assumed that the user 70 inputs the destination 83, the desired arrival time at the destination 83, and the fact that a transfer is necessary. Here, it is assumed that the user 70 does not input the desired boarding location, that is, the station where the user will board the taxi.

[0030] The allocation unit 212 that has received the request from the user 70 extracts stations at which the user 70 may get off to arrive at the destination 83, based on the current location information of the user 70 (more precisely, the current location information of the communication device 60 carried by the user 70). This is realized by extracting stations in order of proximity to the destination 83 with reference to the current location information of the user 70 and the map database 241. The current location information of the user 70 is acquired by the location information acquisition unit 214. In the scene of FIG. 3, it is assumed that two stations, Station A 81 and Station B 82, are extracted as stations at which the user 70 may get off to arrive at the destination 83. The allocation unit 212 allocates taxis that are present near Station A 81 and Station B 82 as taxis that go to pick up the user 70. In the scene of FIG. 3, the allocated taxi is Taxi 40. In this way, when a transfer of transportation means is required to arrive at the destination 83, the route extraction unit 213 determines that a transfer of transportation means is required. This determination is made automatically mainly based on the current location information of the user 70 and the destination 83 of the user 70. However, it is not limited to this. When requesting a taxi, the user 70 may input that a transfer is necessary on the transfer car dispatch application 602. Then, when the route extraction unit 213 receives a signal indicating that a transfer is necessary from the user 70, the route extraction unit 213 may extract multiple transfer route candidates that allow a transfer.

[0031] The route extraction unit 213 extracts the travel route of the taxi 40. Specifically, the route extraction unit 213 extracts two travel routes, a travel route R1 and a travel route R2. The travel route R1 is a route that allows the user 70 to board at station A 81 and then heads to the destination 83. From the user 70's perspective, the travel route R1 is a route that heads to the destination 83 along the route indicated by the reference symbol 84. The travel route R2 is a route that allows the user 70 to board at station B 82 and then heads to the destination 83. From the user 70's perspective, the travel route R2 is a route that heads to the destination 83 along the route indicated by the reference symbol 85. The travel route R1 and the travel route R2 are routes that can arrive at the destination 83 by the desired arrival time of the user 70, even including the transfer time at the station. In this way, when the route extraction unit 213 determines that a transfer of transportation means is necessary, it extracts multiple transfer route candidates. The multiple transfer route candidates referred to here refer to the travel route R1 and the travel route R2. The multiple transfer route candidates extracted by the route extraction unit 213 are merely candidates, and the user 70 has the final decision on which travel route to select. As explained above, the user 70 does not necessarily need to input the desired boarding place or the desired boarding time. This is because, if the destination of the user 70 is reference number 83, the system automatically determines that the station where the user 70 may get off is station A 81 or station B 82. In addition, the system automatically grasps the time of arrival at station A 81 or station B 82, so that if the transfer time at a station is known, the boarding time at the station is also automatically determined by the system.

[0032] Returning to Fig. 2, the location information acquisition unit 214 acquires location information of the user 70 from the communication device 60, and acquires location information of the taxi 40 from the taxi 40. The location information of the user 70 means location information of the communication device 60 carried by the user 70. The location information acquisition unit 214 outputs the acquired location information to the required time calculation unit 215.

[0033] The required time calculation unit 215 uses the location information of the taxi 40 acquired from the location information acquisition unit 214 to calculate the required time from the current location of the taxi 40 to the destination 83 desired by the user 70 via the A station 81 or the B station 82 (including transfer time). If the required time calculated by the required time calculation unit 215 exceeds the desired arrival time of the user 70, that is, if the desired arrival time of the user 70 is not in time, the route extraction unit 213 excludes candidates that will not make it in time for the desired arrival time. For example, in the scene of FIG. 3, it is assumed that the next station after the B station 82 is the C station. The route extraction unit 213 can extract a route to the destination 83 via the C station, but if the desired arrival time of the user 70 will not be in time if the C station is passed, the route via the C station is excluded.

[0034] The population density prediction unit 216 calculates the average population density (people / m 2 ) is predicted. The transfer point means a place where the user 70 transfers between transportation means to go to the destination 83, and in the example of FIG. 3, it is station A 81 and station B 82. The population density prediction unit 216 predicts the average population density at the transfer point by referring to the event information database 243 or the transportation congestion information database 244. The event information database 243 stores event information such as what events are being held near station A 81 or station B 82. As an example, if a sports event, live performance, etc. is being held near station A 81 or station B 82, the average population density increases during the time period when the event is being held. In this way, the population density prediction unit 216 can predict the average population density at the transfer point by referring to the event information database 243. Note that the event information database 243 may store the average population density at the time of a past event. In this case, if an event similar to a past event is being held, the current average population density can be predicted by referring to the past data.

[0035] Information about station congestion acquired from transportation facilities (e.g., railway companies) is stored in the transportation congestion information database 244. The population density prediction unit 216 can predict the average population density at transfer points by referring to the transportation congestion information database 244.

[0036] The contact number prediction unit 217 predicts the number of contacts at the transfer point. In this embodiment, the definition of "number of contacts" is that of the National Institute of Infectious Diseases. According to the definition of the National Institute of Infectious Diseases, a "close contact" is a person who has had contact with a "patient (confirmed case)" for 15 minutes or more at a distance where they can touch with each other (approximately 1 meter) without taking the necessary infection prevention measures (the infectiousness of the patient is judged comprehensively from individual circumstances such as the surrounding environment and the situation of contact). Note that this definition is one example of the definition of a "close contact," but this definition is used in this embodiment. Please refer to the following link if necessary for this definition. https: / / www.niid.go.jp / niid / images / epi / corona / COVID19-02-210108.pdf

[0037] In this embodiment, the definition of "close contact" is used to define the "number of contacts" as the number of people who have been in contact within 1 m for 15 minutes or more. The details of the "number of contacts" will be described with reference to FIG. 4. Reference numeral 90 in FIG. 4 indicates a circle with a radius of 1 m centered on the user 70. If there is a user 71 who has stayed within this circle 90 for 15 minutes or more, the user 71 is counted as a "number of contacts". In other words, contact here does not mean direct contact, but means that if there is a user 71 who has stayed within a radius of 1 m for 15 minutes or more, the user 71 is considered to have been in contact with the user 71. Next, an example of a method for predicting the number of contacts will be described. The number of contacts can be calculated using Equation 1.

[0038] [Number 1] Number of contacts = (number of contacts per unit time) × (transfer time) (1)

[0039] The "number of contacts per unit time" in Equation 1 is the number of contacts per unit time (people / minute) obtained by dividing the average population density predicted by the population density prediction unit 216 by 15 minutes. Therefore, Equation 1 may be expressed as Equation 2.

[0040] [Number 2] Number of contacts = (average population density ÷ 15) × (transfer time) (2)

[0041] The "transfer time" in formula 1 and formula 2 is the time required to transfer at a transfer point. As an example, the "transfer time" includes the time from getting off the train to the ticket gate, the time from the ticket gate to the taxi stand, and the like. Here, it is assumed that the "transfer time" at station A 81 in FIG. 3 is 6 minutes, and the "transfer time" at station B 82 in FIG. 3 is 2 minutes. It is also assumed that the average population density at station A 81 is 0.24 people / 1m radius circle, and the average population density at station B 82 is 0.48 people / 1m radius circle. In this case, the "contact number of people" at station A 81 is 0.24÷15×6≒0.1 people. The "contact number of people" at station B 82 is 0.48÷15×2≒0.06 people. In this way, according to the prediction by the contact number prediction unit 217, it is found that the "contact number of people" at station B 82 is less than the "contact number of people" at station A 81.

[0042] The route suggestion unit 218 preferentially suggests to the user 70 a route predicted by the contact number prediction unit 217 to have fewer contact people. Taking FIG. 3 as an example, since the travel route R2 via B station 82 is predicted to have fewer contact people than the travel route R1 via A station 81, the route suggestion unit 218 preferentially suggests the travel route R2 to the user 70. The method of preferentially suggesting is not particularly limited, but for example, as shown in FIG. 5, the travel route R2 may be displayed on the screen of the communication device 60 as a recommended route. As shown in FIG. 5, the required time and the number of contact people may be displayed at the same time. This allows the user 70 to know that he or she can arrive at the destination 83 by the desired arrival time, and to know an estimate of how many people he or she will come into contact with at the transfer point. In the example shown in FIG. 5, the travel route R1 is displayed at the bottom of the screen of the communication device 60, but the travel route R1 does not have to be displayed. As another preferential suggestion method, the display of the travel route R2 may be made more prominent.

[0043] Next, an example of the operation of the connecting route proposing device will be described with reference to the flowchart of FIG.

[0044] In step S101, the vehicle dispatch reception unit 211 receives a vehicle dispatch request from the user 70 input to the communication device 60. The process proceeds to step S103, and the route extraction unit 213 extracts multiple possible transit route candidates when it is determined that a transfer of transportation means is necessary. The process proceeds to step S105, and the population density prediction unit 216 predicts the average population density at the transit point by referring to the event information database 243 or the transportation congestion information database 244. The process proceeds to step S107, and the contact number prediction unit 217 predicts the number of contacts at the transit point by using the average population density predicted in step S105 and the time required for the transfer. The process proceeds to step S109, and the route proposal unit 218 preferentially proposes to the user 70 the route predicted in step S107 to have a smaller number of contacts (see FIG. 5).

[0045] As an example of a method for predicting the number of contacts, a method using average population density and a time required for transfers has been described, but the method is not limited thereto. The contact number prediction unit 217 may predict the number of contacts using the number of contacts when other users have used the transit route proposal system 10 in the past. Since the number of contacts when other users have used the transit route proposal system 10 in the past is stored in the customer database 242, the contact number prediction unit 217 can predict the number of contacts by referring to the customer database 242 and acquiring the number of contacts when other users have used the transit route proposal system 10 in the past. For example, if the date, day of the week, and time period are similar to those in the past history, the past contact number may be used as the number of contacts as it is.

[0046] (Action and effect) As described above, the connecting route proposal device (management server 20) according to this embodiment provides the following advantageous effects.

[0047] The transit route suggestion device (management server 20) includes a controller 21 that suggests a route to a user's destination 83 based on a user request. When a transfer of transportation means is required, the controller 21 extracts a plurality of possible transfer route candidates. An example of the plurality of possible transfer route candidates is the travel route R1 and the travel route R2 shown in FIG. 3. The controller 21 predicts the number of contacts, which indicates the number of other users who come into contact with the user within a predetermined range at the transfer point in a unit time, based on predetermined information, for each of the extracted plurality of transfer route candidates. An example of the transfer point is station A 81 and station B 82 shown in FIG. 3. An example of the predetermined range of the user is within a circle with a radius of 1 m centered on the user 70 shown in FIG. 4. An example of the unit time is 15 minutes. The controller 21 proposes to the user, among the plurality of transfer route candidates, a transfer route candidate with a smaller number of contacts over a transfer route candidate with a larger number of contacts. An example of a method of preferentially proposing is to display the travel route R2 with a smaller number of contacts at the top of the screen than the travel route R1 with a larger number of contacts, as shown in FIG. 5. In this way, by suggesting to the user transit route candidates with fewer contact points over transit route candidates with a larger contact point, it is possible to reduce the number of contact points during transit.

[0048] The predetermined information includes the average population density of the transfer point and the time required for the transfer, or the number of contacts when other users have used transfers in the past. The controller 21 predicts the number of contacts using the average population density and the time required for the transfer, or predicts the number of contacts using the number of contacts when other users have used transfers in the past. This makes it possible to accurately predict the number of contacts at the transfer point.

[0049] The multiple transfer route candidates are routes that arrive at the destination within the user's desired arrival time, allowing the user to select a route with fewer contacts at transfer points from among the routes that arrive at the destination within the desired time.

[0050] The transportation means includes a first transportation means and a second transportation means different from the first transportation means. The controller 21 determines that a transfer of transportation means is necessary when a transfer from the first transportation means to the second transportation means is necessary based on the user's location information and the user's destination. The second transportation means is a vehicle. The vehicle may be a taxi or a private car. The first transportation means is a train.

[0051] (Modification) Next, a modified example of this embodiment will be described with reference to Fig. 7. In this modified example, the required ventilation volume at the transfer point is also taken into consideration. The process of steps S201 to S205 shown in Fig. 7 is similar to the process of steps S101 to S105 shown in Fig. 6, and therefore the description will be omitted.

[0052] In step S207, the route extraction unit 213 calculates the required ventilation volume at the transfer point. The definition of "required ventilation volume" in this embodiment is that of the Ministry of Health, Labor and Welfare. In this embodiment, the "required ventilation volume" is the ventilation volume required to avoid a "poorly ventilated enclosed space." According to the Ministry of Health, Labor and Welfare, in order to avoid a "poorly ventilated enclosed space," which is one of the risk factors for infectious diseases, the carbon dioxide content must be 1,000 parts per million or less (= 1,000 ppm or less), that is, the ventilation volume must be 30 m3 per person per hour. 3 If you need more information about this definition, please refer to the following link: https: / / www.mhlw.go.jp / content / 10900000 / 000618969.pdf

[0053] The ventilation volume is calculated using Equation 3.

[0054]

number

[0055] The CO2 concentration in the breath, the indoor concentration, and the outdoor concentration may be obtained from a transportation facility (e.g., a railway company). 3If the number of contacts is equal to or greater than / (h·people), it is determined that the transfer point is possible to stay at (YES in step S209). If it is determined that the transfer point is possible to stay at in both station A 81 and station B 82 shown in Fig. 3, the processes in steps S211 and S213 are the same as steps S107 and S109 shown in Fig. 6. If it is determined that the transfer point is possible to stay at in either station A 81 or station B 82, the number of contacts is predicted in step S211, but the route proposed in step S213 is a route that passes through the transfer point determined to be possible to stay at.

[0056] On the other hand, the route extraction unit 213 calculates a ventilation volume of 30 m 3 If the number of transfers is less than / (h·persons), it is determined that the user 70 cannot stay at the transfer point (NO in step S209). Note that NO in step S209 means that the user 70 cannot stay at all transfer points. In other words, since the user 70 cannot stay at both station A 81 and station B 82, the dispatch reception unit 211 notifies the user 70 that a taxi cannot be dispatched (step S215).

[0057] According to this modification, the controller 21 calculates the ventilation volume at the transfer point for each of the multiple transfer route candidates. If the calculated ventilation volume is equal to or greater than a predetermined standard, the controller 21 predicts the number of contacts. An example of the predetermined standard is 30 m 3 / (h·persons). If the calculated ventilation volume is less than a predetermined standard, the controller 21 excludes the transit route candidate that passes through the target transit point from the route to be proposed to the user. In this way, according to the modified example, by also using the ventilation volume at the transit point, it is possible to exclude places with poor ventilation, i.e., places considered to have a high infection risk, from the guidance, thereby reducing the infection risk of the user.

[0058] Each of the functions described in the above embodiments may be implemented by one or more processing circuits. A processing circuit includes a programmed processing device, such as a processor including electrical circuitry. A processing circuit also includes devices such as application specific integrated circuits (ASICs) or circuit components arranged to perform the described functions.

[0059] As described above, the embodiment of the present invention has been described, but the description and drawings forming a part of this disclosure should not be understood as limiting this invention. From this disclosure, various alternative embodiments, examples and operating techniques will become apparent to those skilled in the art.

[0060] In the above embodiment, the transfer is described by taking a case of transferring from a train to a taxi, but the transfer is not limited to this. Since the present invention is applicable as long as there are multiple transfer locations, it is also applicable to a transfer from a bus to a taxi, or from a taxi to a taxi.

[0061] Although the transit route proposal device has been described as the management server 20, the present invention is not limited to this. The transit route proposal device may be the communication device 60. When the transit route proposal device is the communication device 60, it is sufficient for the communication device 60 to obtain necessary information from the management server 20. [Explanation of symbols]

[0062] 10. Transfer route suggestion system 20 Management Server 211 Dispatch Reception 212 Allocation Section 213 Root Extraction Unit 214 Location information acquisition unit 215 Required time calculation part 216 Population Density Forecasting Department 217 Contact Number Prediction Department 218 Route Suggestion Section 241 Map Database 242 Customer Database 243 Event Information Database 244 Transport congestion information database

Claims

1. A transit route suggestion device comprising a controller that suggests a route to a destination of a user based on a request from the user, The controller: If a transfer is required, multiple transfer route candidates are extracted. predicting a first number of users, which indicates the number of other users who stay within a predetermined range of the user at the transfer point for a unit time, for each of the extracted multiple transfer route candidates, based on predetermined information; Among the plurality of transit route candidates, transit route candidates with a smaller number of first passengers are proposed to the user in preference to transit route candidates with a larger number of first passengers. A transit route suggestion device comprising:

2. A transit route suggestion device comprising a controller that suggests a route to a destination of a user based on a request from the user, The controller: If a transfer is required, multiple transfer route candidates are extracted. predicting a first number of users, which indicates the number of other users who stay within a predetermined range of the user at the transfer point for a unit time, for each of the extracted multiple transfer route candidates, based on predetermined information; Among the plurality of transit route candidates, a transit route candidate having a smaller number of first passengers is proposed to the user in preference to a transit route candidate having a larger number of first passengers; Calculating a ventilation volume at the transfer point for each of the plurality of transfer route candidates; When the calculated ventilation volume is equal to or greater than a predetermined standard, predicting the first number of people; If the calculated ventilation volume is less than a predetermined standard, the transit route candidate that passes through the transit point in question is excluded from the route proposed to the user. A transit route suggestion device comprising:

3. The predetermined information includes an average population density of the transfer point and a time required for the transfer, or a first number of other users who have used the transfer in the past; The controller: The first number of people is predicted using the average population density and the time required for the transfer, or the first number of people is predicted using a first number of people when the other users have used a transfer in the past.

3. The transit route suggestion device according to claim 1 or 2.

4. The plurality of transit route candidates are routes that arrive at the destination within a desired arrival time of the user.

4. The transit route suggestion device according to claim 1, wherein the transit route suggestion device is a device for suggesting a transit route based on the transit route.

5. the moving means includes a first moving means and a second moving means different from the first moving means, The controller determines, when a transfer from the first transportation means to the second transportation means is necessary based on the user's location information and the user's destination, that a transfer of the transportation means is necessary; The second means of transportation is a vehicle.

5. The connecting route suggestion device according to claim 1, wherein the connecting route suggestion device is a device for suggesting a connecting route to a destination.

6. A transit route suggestion method for a transit route suggestion device including a controller that suggests a route to a destination of a user based on a request from the user, the method comprising: The controller: If a transfer is required, multiple transfer route candidates are extracted. predicting a first number of users, which indicates the number of other users who stay within a predetermined range of the user at the transfer point for a unit time, for each of the extracted multiple transfer route candidates, based on predetermined information; Among the plurality of transit route candidates, a transit route candidate having a smaller number of first passengers is suggested to the user in preference to a transit route candidate having a larger number of first passengers; Calculating a ventilation volume at the transfer point for each of the plurality of transfer route candidates; When the calculated ventilation volume is equal to or greater than a predetermined standard, predicting the first number of people; If the calculated ventilation volume is less than a predetermined standard, the transit route candidate that passes through the transit point in question is excluded from the route proposed to the user. A method for proposing a connecting route.

Citation Information

Patent Citations

  • Dispenser

    JP1989070010A

  • Train riding position determination system

    JP2006193029A

  • Information processing device, information processing system, information processing method, and program

    JP2019027790A

  • Information processing system, information processing program, information processing device and information processing method

    JP2019035658A

  • Information providing system, information providing server, and information providing method

    JP2020008969A