A method for managing campus commuting vehicles

Abstract

The present invention relates to the fields of smart transportation and Internet technology, and in particular to a method for managing campus commuter vehicles, comprising the following steps: obtaining a user's vehicle request form; obtaining a boarding location submitted by the user, and matching the nearest unmanned vehicle to the boarding location; after arriving at the boarding location, verifying the user's identity authentication information, and if the verification is successful, calculating the driving path to the corresponding destination campus; based on the campus address submitted by the user, calculating the path for the unmanned vehicle to reach the campus address; and planning the path for the unmanned vehicle to reach any vacant parking space. By calculating the path for the unmanned vehicle to reach the campus address, congestion within the campus is avoided to the greatest extent possible, point-to-point personnel transportation is directly achieved, and secondary congestion caused by parking is avoided; by planning the path for the unmanned vehicle to reach any vacant parking space after arriving at the campus address, automatic allocation of parking spaces is directly achieved.

Description

Technical Field

[0001] The present invention relates to the fields of smart transportation and Internet technology, and in particular to a method for managing campus commuting vehicles. Background Art

[0002] An industrial park is an area designated by a national or regional government through administrative means, based on the inherent requirements of its economic development. It gathers various production factors and scientifically integrates them within a certain spatial scope. This aims to increase the intensity of industrialization, highlight industrial characteristics, and optimize functional layout, transforming it into a modern industrial division of labor and collaborative production zone adapted to market competition and industrial upgrading. With the increasing concentration of enterprises within a given industry within cities, industrial parks are increasingly located outside of urban planning. Industrial parks are often located far from employee residential areas, resulting in high commuting costs. Furthermore, industrial parks with high concentrations of personnel experience high traffic and passenger volume during peak hours, which can easily lead to traffic congestion and further increase the time cost of commuting. This is especially true within the first kilometer of the park, where the lack of separation between vehicles and pedestrians can lead to congestion, significantly reducing commuting efficiency and posing safety risks.

[0003] At present, the existing industrial parks have the following problems in the process of management: (1) In the early stage, due to the imperfect road construction and insufficient parking space planning, it is difficult to find a parking space near the park office building or you need to park on the municipal road or ground parking space outside the park, which further aggravates the traffic congestion problem; (2) The parking space planning is unreasonable. The parking lot is generally large in area, and its internal traffic routes are more complicated than the road surface. There is a lack of effective methods to guide vehicles into parking spaces. Vehicles often search for parking spaces in the parking lot, which easily causes secondary congestion.

[0004] Therefore, a new park management method is needed to solve the last-mile commuting problem and reduce costs and increase efficiency for enterprises and employees. Summary of the Invention

[0005] The present invention provides a park commuter vehicle management method to solve the defects of the existing technology that the commuter vehicle management in industrial parks is chaotic and easily causes congestion, avoids the time waste caused by the congestion of pedestrian and vehicle flows in the park, ensures the personal safety of employees, and solves the congestion problem of the last mile.

[0006] The present invention provides a method for managing campus commuting vehicles, comprising:

[0007] S1 obtains a user's car request form and extracts car use information and user identity information from the car request form; the car use information includes the car use time, the boarding location, and the destination park; the identity information includes the authentication information and the address within the park;

[0008] S2 obtains the boarding location submitted by the user and matches all driverless cars within a preset range;

[0009] S3 matches the self-driving car closest to the boarding location based on the boarding location and destination park submitted by the user;

[0010] After the S4 matched driverless car arrives at the pick-up location, it verifies the user's identity verification information. If the verification is successful, it calculates the driving route to the corresponding destination park;

[0011] S5 obtains the current traffic flow status in the park and calculates the path for the driverless car to reach the address in the park based on the address in the park submitted by the user;

[0012] Specifically, the traffic conditions of specific blocks can be obtained through positioning systems such as GPS, Beidou navigation, or directly through existing navigation systems, and the traffic status can be predicted based on historical traffic data, thereby planning the optimal driving route for the driverless car.

[0013] S6 plans a path for the driverless car to reach any vacant parking space after arriving at the address in the park.

[0014] According to a campus commuting vehicle management method provided by the present invention, steps S1-S3 further include:

[0015] Obtain each user's car request form. If the user selects the private car mode, the user is directly matched with the nearest self-driving car within the preset range to the pickup location;

[0016] If the carpooling mode is selected, the carpooling passenger form is obtained based on the submitted car request form, the boarding locations and destination parks of all passengers are obtained, the path of the unmanned vehicle within the preset range after passing each boarding location to reach the destination park is calculated, and the unmanned vehicle corresponding to the path with the shortest driving time is selected.

[0017] According to a campus commuting vehicle management method provided by the present invention, steps S1-S3 further include:

[0018] After selecting the carpooling mode, if no carpooling passenger form is submitted, users arriving at the same destination park will be selected, and driver-passenger matching will be performed based on the boarding location submitted by each user and the location of each driverless car. The path for the driverless car to reach the destination park after passing each boarding location within the preset range is calculated, and the driverless car corresponding to the path with the shortest travel time is selected.

[0019] According to a campus commuter vehicle management method provided by the present invention, in step S4, during the driving of the driverless car, if there are vacant seats in the current driverless car, the list of carpooling passengers is continuously obtained, the boarding location of the new carpooling passenger is obtained, and the driving route passing through the new boarding location is replanned.

[0020] According to a campus commuter vehicle management method provided by the present invention, the identity verification information obtained in step S1 includes voice information, image information and / or verification code information.

[0021] According to a campus commuter vehicle management method provided by the present invention, in step S4, the identity information of each user is verified, including:

[0022] Analyze and extract features from the input voice signal, and match the frequency, energy, and duration features of the extracted voice signal with the authentication information submitted by the user;

[0023] and / or, analyzing and extracting features from the input image, and matching the frequency, energy, and duration features of the extracted facial image signal with the identity verification information submitted by the user;

[0024] and / or, matching the user's verification code information with the identity verification information submitted by the user.

[0025] According to a campus commuter vehicle management method provided by the present invention, in step S5, when the commuter vehicle arrives at the destination campus, it is determined based on the license plate number of the commuter vehicle whether the current commuter vehicle is an autonomous vehicle. If it is an autonomous vehicle, the steps after S5 are executed;

[0026] If it is not an autonomous vehicle, then after step S5, the following steps are performed:

[0027] S7: When the commuter vehicle arrives at the destination park, the location of the vacant parking spaces in the current park is obtained, and the driving path of the commuter vehicle to each vacant parking space is calculated respectively, and the walking path from each vacant parking space to the address in the park is calculated;

[0028] The sum of the duration of the driving route and the duration of the walking route is obtained, and an idle parking space corresponding to the minimum sum of the durations is selected.

[0029] According to a campus commuting vehicle management method provided by the present invention, if the minimum value of the sum of the durations is greater than a preset threshold, an unmanned vehicle is used to reach the corresponding vacant parking space, the user's address within the campus is obtained, and a driving path for the unmanned vehicle is set from the vacant parking space to the address within the campus.

[0030] In another aspect, the present invention further provides an unmanned vehicle for use in any of the above commuter vehicle management methods, comprising:

[0031] Message management module, used to obtain car request forms from multiple users;

[0032] A registration and login module is used to extract the vehicle use information and the user's identity information from the vehicle use request form, and verify the user's identity information through the verification submodule installed;

[0033] The travel module plans the route to the park through each boarding location based on the boarding locations and destination parks of multiple users; and obtains the user's modification of the boarding location and / or the stop points within the destination park, and replans the route.

[0034] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the above-described commuter vehicle management methods.

[0035] The present invention provides a method for managing campus commuter vehicles, which has at least the following technical effects:

[0036] (1) It solves the time wasted by the traffic jams in the park, and ensures the personal safety of employees; it solves the congestion problem of the last mile; and it can also clear the traffic more efficiently by spatially diverting and guiding people and vehicles (unmanned vehicles and private cars).

[0037] (2) By obtaining the current traffic flow status within the park, based on the park address submitted by the user, the path for the driverless car to reach the park address is calculated, thereby maximizing the avoidance of congestion within the park, directly realizing point-to-point personnel transportation, and avoiding secondary congestion caused by parking; after arriving at the park address, the path for the driverless car to reach any vacant parking space is planned, thereby directly realizing the automatic allocation of parking spaces;

[0038] (3) Through the car requests of multiple users, one car can be used for multiple purposes, which is beneficial to saving energy and reducing traffic flow in the park, thereby improving commuting efficiency and improving congestion in the park. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0040] Figure 1 It is a flow chart of the campus commuting vehicle management method provided by the present invention. DETAILED DESCRIPTION

[0041] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0042] The terms "including" and "having," and any variations thereof, in the specification and claims of this application and the accompanying drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or modules is not limited to the listed steps or modules, but may optionally include steps or modules not listed, or may optionally include other steps or modules inherent to the process, method, product, or apparatus.

[0043] It should be noted that the terms "first" and "second" as used herein are merely used to distinguish similar objects and do not represent a specific ordering of the objects. It is understood that the terms "first" and "second" may interchangeably represent a specific order or precedence, where permitted. It should be understood that the objects distinguished by "first" and "second" may be interchangeable, where appropriate, such that the embodiments of the present invention described herein may be implemented in an order other than that described or illustrated herein.

[0044] In one embodiment, Figure 1 As shown, the present invention provides a campus commuting vehicle management method, comprising:

[0045] S1 obtains a user's car request form and extracts car use information and user identity information from the car request form; the car use information includes the car use time, the boarding location, and the destination park; the identity information includes the authentication information and the address within the park;

[0046] S2 obtains the boarding location submitted by the user and matches all driverless cars within a preset range;

[0047] S3 matches the self-driving car closest to the boarding location based on the boarding location and destination park submitted by the user;

[0048] After the S4 matched driverless car arrives at the pick-up location, it verifies the user's identity verification information. If the verification is successful, it calculates the driving route to the corresponding destination park;

[0049] S5 obtains the current traffic flow status in the park and calculates the path for the driverless car to reach the address in the park based on the address in the park submitted by the user;

[0050] S6 plans a path for the driverless car to reach any vacant parking space after arriving at the address in the park.

[0051] Optionally, after the vehicle arrives, it can use NFC (near-field communication) to identify the employee user near the boarding point. If successful, the door will automatically open. Users can also find the corresponding vehicle based on the license plate number.

[0052] According to a campus commuting vehicle management method provided by the present invention, steps S1-S3 further include:

[0053] Obtain each user's car request form. If the user selects the private car mode, the user is directly matched with the nearest self-driving car within the preset range to the pickup location;

[0054] If the carpooling mode is selected, the carpooling passenger form is obtained based on the submitted car request form, the boarding locations and destination parks of all passengers are obtained, the path of the unmanned vehicle within the preset range after passing each boarding location to reach the destination park is calculated, and the unmanned vehicle corresponding to the path with the shortest driving time is selected.

[0055] According to a campus commuting vehicle management method provided by the present invention, steps S1-S3 further include:

[0056] After selecting the carpooling mode, if no carpooling passenger form is submitted, users arriving at the same destination park will be selected, and driver-passenger matching will be performed based on the boarding location submitted by each user and the location of each driverless car. The path for the driverless car to reach the destination park after passing each boarding location within the preset range is calculated, and the driverless car corresponding to the path with the shortest travel time is selected.

[0057] According to a campus commuter vehicle management method provided by the present invention, in step S4, during the driving of the driverless car, if there are vacant seats in the current driverless car, the list of carpooling passengers is continuously obtained, the boarding location of the new carpooling passenger is obtained, and the driving route passing through the new boarding location is replanned.

[0058] According to a campus commuter vehicle management method provided by the present invention, the identity verification information obtained in step S1 includes voice information, image information and / or verification code information.

[0059] According to a campus commuter vehicle management method provided by the present invention, in step S4, the identity information of each user is verified, including:

[0060] Analyze and extract features from the input voice signal, and match the frequency, energy, and duration features of the extracted voice signal with the authentication information submitted by the user;

[0061] and / or, analyzing and extracting features from the input image, and matching the frequency, energy, and duration features of the extracted facial image signal with the identity verification information submitted by the user;

[0062] and / or, matching the user's verification code information with the identity verification information submitted by the user;

[0063] Optionally, pressure sensing is performed based on the vehicle seat detection carried by the driverless car, and a safety belt sensor is used to detect whether the passenger has fastened the seat belt. The detection equipment is installed in the buckle; after transmitting data to the cloud computing center and the background confirms that the passenger has taken a seat and fastened the seat belt, the child lock of the door is closed, and the external sensing equipment detects whether there are any obstacles or moving vehicles within the safety range of the vehicle. If it is determined that there are no obstacles or moving vehicles within the safety range, the vehicle motor starts;

[0064] Optionally, facial recognition can be performed on the screen in front of the passenger. If the passenger is wearing a mask, sunglasses, or has heavy makeup and hair, facial recognition cannot be performed, the passenger is required to speak to wake up the system. After double confirmation of face and voice, the corresponding journey information can be displayed on the screen in front of the passenger.

[0065] Optionally, if voice and image information cannot be recognized, you can verify and activate it by entering a mobile phone identification code or a verification code for reserving a driverless car;

[0066] Specifically, audio signal processing involves analyzing, extracting, and matching input speech signals. Different speakers can be distinguished by extracting features such as frequency, energy, and duration from the speech signals.

[0067] Image processing involves analyzing the input image, extracting features, and matching them. Different faces can be distinguished by extracting features such as texture, shape, and color from facial images.

[0068] Fusion matching involves fusing audio signals and image signals and comparing the same features to determine whether they are the same person.

[0069] After obtaining the voice information and face images uploaded by the user, the corresponding information is stored in the database, and the voice and / or face images obtained on site are compared with the information in the database to determine whether the similarity is greater than the set similarity threshold.

[0070] Based on the above scheme, the following formula can be obtained:

[0071] Assume that the input speech signal is x, the input face image is y, the speech signal in the known database is a, the face image is b, and the matching score is S, then:

[0072] S=f(g(x),h(y))

[0073] Among them, g(x) and h(y) represent the functions for feature extraction of the input speech signal and face image respectively, and f is the fusion matching function, which returns the matching score S based on the comparison result.

[0074] Optionally, obtain the time when the user arrives at the destination park and the address within the park by self-driving car. After the user's vehicle arrives at the park, the employee can clock in internally on the company's attendance system, and each company can receive the employee's arrival time data;

[0075] According to a campus commuter vehicle management method provided by the present invention, in step S5, when the commuter vehicle arrives at the destination campus, it is determined based on the license plate number of the commuter vehicle whether the current commuter vehicle is an autonomous vehicle. If it is an autonomous vehicle, the steps after S5 are executed;

[0076] Furthermore, after a vehicle passes through the park's license plate recognition, a path calculation is performed, including:

[0077] According to the address within the park submitted by each user, passengers are taken to the required destination in turn;

[0078] Optionally, passengers can complete a second clock-in after entering the office building, and the company will receive the second clock-in time;

[0079] By comparing and analyzing the time with the first entry time, it is possible to analyze whether the employee is late; by setting a normal time range, employees who are within the time range can be reminded of abnormalities.

[0080] In an optional embodiment, if it is detected that the vehicle is not an autonomous vehicle, then after step S5, the following steps are performed:

[0081] S7: When the commuter vehicle arrives at the destination park, the location of the vacant parking spaces in the current park is obtained, and the driving path of the commuter vehicle to each vacant parking space is calculated respectively, and the walking path from each vacant parking space to the address in the park is calculated;

[0082] The sum of the duration of the driving route and the duration of the walking route is obtained, and an idle parking space corresponding to the minimum sum of the durations is selected.

[0083] According to a campus commuting vehicle management method provided by the present invention, if the minimum value of the sum of the durations is greater than a preset threshold, an unmanned vehicle is used to reach the corresponding vacant parking space, the user's address within the campus is obtained, and a driving path for the unmanned vehicle is set from the vacant parking space to the address within the campus.

[0084] Similarly, at off-get off work hours, you can be taken to a designated parking lot by a self-driving car, or you can make an appointment for a self-driving car to arrive at a designated location.

[0085] In another aspect, the present invention further provides an unmanned vehicle for use in any of the above commuter vehicle management methods, comprising:

[0086] Message management module, used to obtain car request forms from multiple users;

[0087] A registration and login module is used to extract the vehicle use information and the user's identity information from the vehicle use request form, and verify the user's identity information through the verification submodule installed;

[0088] The travel module plans routes to the park from each boarding location based on multiple users' boarding locations and destination parks; and replans the routes based on user changes to the boarding location and / or stops within the destination park;

[0089] Furthermore, it also includes an in-car camera module that can be used to verify the user's identity information;

[0090] Optionally, if an employee loses something after getting off the bus, the camera inside the self-driving car can immediately identify and detect the lost item and transmit the data to the operator of the self-driving car as soon as possible, so that the operator can contact the passenger as soon as possible based on the camera;

[0091] The present invention also provides an electronic device, which may include a processor, a communications interface, a memory, and a communications bus. The processor, the communications interface, and the memory communicate with each other via the communications bus. The processor may invoke logic instructions in the memory to execute the steps of the commuter vehicle management methods described above.

[0092] In addition, the logical instructions in the above-mentioned memory can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0093] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the steps of the commuter vehicle management method provided by the above methods.

[0094] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the steps of the commuter vehicle management method provided by the above methods.

[0095] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0096] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for managing campus commuting vehicles, characterized in that: include: S1 obtains the user's car request form and extracts the car information and the user's identity information from the car request form; The vehicle usage information includes the vehicle usage time, the boarding location and the destination park; the identity information includes the identity verification information and the address within the park; S2 obtains the boarding location submitted by the user and matches all driverless cars within a preset range; S3 matches the self-driving car closest to the boarding location based on the boarding location and destination park submitted by the user; After the S4 matched driverless car arrives at the pick-up location, it verifies the user's identity verification information. If the verification is successful, it calculates the driving route to the corresponding destination park; S5 obtains the current traffic flow status in the park and calculates the path for the driverless car to reach the address in the park based on the address in the park submitted by the user; S6, after arriving at the address in the park, plans a path for the driverless car to reach any vacant parking space; The identity verification information obtained in step S1 includes voice information, image information and / or verification code information; In step S4, the identity information of each user is verified, including: Analyze and extract features from the input voice signal, and match the frequency, energy, and duration features of the extracted voice signal with the authentication information submitted by the user; and / or, analyzing and extracting features from the input image, and matching the frequency, energy, and duration features of the extracted facial image signal with the identity verification information submitted by the user; and / or, matching the user's verification code information with the identity verification information submitted by the user; The method further comprises: Obtaining the first clock-in time of the user on the enterprise attendance system after arriving at the target park by the driverless car; Obtaining a second clock-in time at which the user clocks in on the enterprise attendance system after arriving at an address within the park by the driverless car; The first clock-in time is compared with the second clock-in time to analyze whether there is any abnormality in the user's clock-in time. If there is any abnormality, an abnormality reminder is initiated.

2. A campus commuting vehicle management method according to claim 1, characterized in that: Steps S1-S3 also include: Obtain each user's car request form. If the user selects the private car mode, the user is directly matched with the nearest self-driving car within the preset range to the pickup location; If the carpooling mode is selected, the carpooling passenger form is obtained based on the submitted car request form, the boarding locations and destination parks of all passengers are obtained, the path of the unmanned vehicle within the preset range after passing each boarding location to reach the destination park is calculated, and the unmanned vehicle corresponding to the path with the shortest driving time is selected.

3. A campus commuting vehicle management method according to claim 2, characterized in that: Steps S1-S3 also include: After selecting the carpooling mode, if no carpooling passenger form is submitted, users arriving at the same destination park will be selected, and driver-passenger matching will be performed based on the boarding location submitted by each user and the location of each driverless car. The path for the driverless car to reach the destination park after passing each boarding location within the preset range is calculated, and the driverless car corresponding to the path with the shortest travel time is selected.

4. A campus commuting vehicle management method according to claim 3, characterized in that: In step S4, while the driverless car is driving, if there are empty seats in the current driverless car, the carpooling passenger list is continuously obtained, the boarding location of the new carpooling passenger is obtained, and the driving route passing through the new boarding location is replanned.

5. A campus commuting vehicle management method according to any one of claims 1 to 4, characterized in that: In step S5, when the commuter vehicle arrives at the destination park, it is determined based on the license plate number of the commuter vehicle whether the current commuter vehicle is an autonomous vehicle. If it is an autonomous vehicle, the steps after S5 are executed; If it is not an autonomous vehicle, then after step S5, the following steps are performed: S7: When the commuter vehicle arrives at the destination park, the location of the vacant parking spaces in the current park is obtained, and the driving path of the commuter vehicle to each vacant parking space is calculated respectively, and the walking path from each vacant parking space to the address in the park is calculated; The sum of the duration of the driving route and the duration of the walking route is obtained, and an idle parking space corresponding to the minimum sum of the durations is selected.

6. A campus commuting vehicle management method according to claim 5, characterized in that: If the minimum value of the sum of the durations is greater than a preset threshold, the corresponding vacant parking space is reached by an unmanned vehicle, the user's address within the park is obtained, and a driving path for the unmanned vehicle is set from the vacant parking space to the address within the park.

7. An unmanned vehicle used in the commuter vehicle management method according to any one of claims 1 to 6, characterized in that: include: Message management module, used to obtain car request forms from multiple users; A registration and login module is used to extract the vehicle use information and the user's identity information from the vehicle use request form, and verify the user's identity information through the verification submodule installed; The travel module plans routes to the park via each boarding location based on the boarding locations and destination parks of multiple users; The system also obtains the user's changes to the boarding location and / or the stops within the destination park and replans the route.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the commuter vehicle management method according to any one of claims 1 to 6 are implemented.

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