Vehicle dispatch management method, system and storage medium

Abstract

The present invention belongs to the technical field of vehicle dispatching management, and specifically relates to a vehicle dispatching management method, system and storage medium. The method includes: S1, obtaining the number of new people in the park; S2, checking the number of first vehicles at the starting point of the park based on the new number of people, and monitoring each second vehicle in driving state; S3, calculating the number of second vehicles returning within a preset time based on the driving information of each second vehicle; S4, introducing a statistical model of the number of new people in the park based on the number of second vehicles returning, and constructing a vehicle dispatching logic with the number of first vehicles, S5, triggering the adjustment of the number of first vehicles based on the vehicle dispatching logic, and the first vehicle at the storage place performs unmanned driving along the path planning, and drives to the starting point of the park. The present invention can introduce the number of second vehicles returning into the number of first vehicles, and dynamically adjust the number of first vehicles.

Description

Technical Field

[0001] The present invention belongs to the technical field of vehicle dispatching management, and in particular relates to a vehicle dispatching management method, system and storage medium. Background Art

[0002] With the development of science and technology, digital technology is applied to various environments, such as the dispatch of park vehicles. In the use environment of park vehicles, the corresponding vehicles are dispatched according to the number of people in the park, and the vehicles can be tourist buses. In the prior art, park operators estimate the number of people entering the park by the number of tourist tickets, and uniformly dispatch vehicles based on the number of people entering the park. In which, multiple standby vehicles are arranged at the starting point of the park, and corresponding loads are carried according to the number of people coming and going. At this time, the existing vehicle dispatch is still adjusted according to the number of people in the park, and the vehicles at the starting point of the park are adjusted only by experience to ensure that sufficient vehicles are at the starting point of the park, and the impact of returning vehicles on vehicles at the starting point is ignored, resulting in low rationality of the existing vehicle dispatch. Summary of the invention

[0003] In order to solve the problem of low rationality of existing vehicle scheduling in the prior art, the present invention provides a vehicle scheduling management method, system and storage medium.

[0004] The present invention is implemented by the following technical solutions:

[0005] A vehicle dispatching management method, comprising:

[0006] Get the number of new people in the park;

[0007] Checking the number of first vehicles at the starting point of the park based on the newly added number of people, and monitoring each second vehicle in a driving state;

[0008] Calculating the number of second vehicles returning within a preset time according to the driving information of each of the second vehicles;

[0009] A statistical model of the number of new people introduced into the park according to the number of the second vehicles returned, and a vehicle dispatch logic is constructed with the number of the first vehicles;

[0010] The adjustment of the number of vehicles of the first vehicle is triggered based on the vehicle dispatching logic, and the first vehicle at the storage place is driven unmanned along the path planning and drives to the starting point of the park.

[0011] Further, checking the number of first vehicles at the starting point of the park based on the newly added number of people, and monitoring each second vehicle in a driving state, includes:

[0012] Collect pictures of people who are about to enter the park;

[0013] Freeze the surrounding area of ​​the child or the elderly in the crowd flow picture to form an area to be counted;

[0014] Determine family roles based on the interaction scenarios of children or the elderly in the area to be counted;

[0015] Count the additional people according to family roles;

[0016] The number of first vehicles at the starting point of the park is checked based on the newly added number of people, and each second vehicle in driving state is monitored.

[0017] Furthermore, the step of calculating the number of second vehicles returning within a preset time according to the driving information of each second vehicle includes:

[0018] Recording the driving position of each of the second vehicles and dynamically calibrating the driving position;

[0019] The position information or the stop information of the second vehicle is collected, and the fault condition and the fault scenario of the second vehicle are calculated based on the position information or the stop information.

[0020] Furthermore, the calculating the number of second vehicles returning within a preset time according to the driving information of each second vehicle further includes:

[0021] Backtracking the untraveled route of the second vehicle corresponding to the fault scenario;

[0022] Traversing each third vehicle on the same route as the second vehicle;

[0023] Finding each of the third vehicles adjacent to the second vehicle, and transmitting the number of passengers of the second vehicle in a faulty state to each of the third vehicles;

[0024] Each of the third vehicles is matched with the number of passengers in the second vehicle in a faulty state based on the number of passengers in the third vehicle itself so as to transfer the passengers in the second vehicle in a faulty state.

[0025] Furthermore, the step of calculating the number of second vehicles returning within a preset time according to the driving information of each second vehicle includes:

[0026] collecting a return route of the second vehicle;

[0027] Locating a second vehicle in the return route that is within the location to be counted;

[0028] Predicting the first time for the second vehicle to return to the starting point, if the first time reaches the preset time, the second vehicle is regarded as the second vehicle to return, and the number of the second vehicles that return is counted;

[0029] The vehicle count of the first vehicles is adjusted based on the number of second vehicles returned.

[0030] Furthermore, the statistical model of the additional number of people introduced into the park according to the number of the second vehicles returned and the vehicle dispatch logic constructed with the number of the first vehicles include:

[0031] According to the second vehicle, the number of returned vehicles is used as a first parameter;

[0032] A statistical model of the number of new people introduced into the park based on the first parameter, and the number of vehicles of the first vehicle is calculated together with the number of new people in the park;

[0033] A vehicle dispatching logic is jointly constructed based on the first parameter, the number of new people in the park, and the number of vehicles of the first vehicle, and the number of vehicles of the first vehicle is dynamically adjusted based on the vehicle dispatching logic.

[0034] Furthermore, the statistical model of the additional number of people introduced into the park according to the number of the second vehicles returned, and the vehicle dispatch logic constructed with the number of the first vehicles, also includes:

[0035] Obtain the previous first parameter, the number of new people in the park, and the number of vehicles of the first vehicle;

[0036] The previous first parameter, the number of new people in the park and the number of the first vehicle are input into the scheduling learning model, and a learning operation is performed to form a vehicle scheduling logic, wherein the result output by the scheduling learning model is the result of the vehicle scheduling logic.

[0037] Further, the adjusting of the number of vehicles of the first vehicle is triggered based on the vehicle scheduling logic, and the first vehicle at the storage location is driven unmanned along the path planning and drives to the starting point of the park, including:

[0038] triggering adjustment of the vehicle number of the first vehicle based on the vehicle dispatch logic, and adjusting the vehicle number of the first vehicle;

[0039] The adjustment of the number of vehicles of the first vehicles sequentially triggers the first vehicles in the storage area;

[0040] The first vehicle at the storage location performs path planning based on the path between the storage location and the starting point of the park;

[0041] The first vehicle drives along the planned path and detects actual obstacles;

[0042] Dynamic adjustments are made based on the outer contour of the actual obstacle, and the adjustment range is controlled.

[0043] The present invention also includes a vehicle dispatching management system, which adopts the vehicle dispatching management method; the vehicle dispatching management system includes:

[0044] The acquisition module is used to obtain the number of new people in the park;

[0045] A monitoring module, used for checking the number of first vehicles at the starting point of the park based on the newly added number of people, and monitoring each second vehicle in a driving state;

[0046] a calculation module, configured to calculate the number of second vehicles returning within a preset time according to the driving information of each of the second vehicles; and

[0047] A scheduling module, used to generate a statistical model of the number of new people introduced into the park according to the number of returns of the second vehicles, and to construct a vehicle scheduling logic with the number of the first vehicles;

[0048] An adjustment module is used to trigger the adjustment of the number of the first vehicle based on the vehicle scheduling logic, and the first vehicle at the storage place performs unmanned driving along the path planning and drives to the starting point of the park.

[0049] The present invention also includes a storage medium storing a computer program, and the computer program implements the steps of the vehicle dispatch management method when loaded and executed by a processor.

[0050] The technical solution provided by the present invention has the following beneficial effects:

[0051] The technical solution provided by the present invention checks the number of first vehicles at the starting point of the park based on the newly added number of people, and calculates the number of second vehicles returning within a preset time according to the driving information of each second vehicle, so as to introduce a statistical model of the newly added number of people into the park according to the number of second vehicles returning, and construct a vehicle scheduling logic with the number of first vehicles, and trigger the adjustment of the number of first vehicles based on the vehicle scheduling logic, so as to introduce the number of second vehicles returning into the number of first vehicles, and dynamically adjust the number of first vehicles, fully consider the return situation of the second vehicle, ensure that the number of first vehicles is adapted to the regulation of the newly added number of people, improve the centralized control of the vehicle scheduling management method and the full scheduling of each vehicle, and ensure the freedom and rationality of vehicle scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0053] Figure 1It is a flow chart of the vehicle dispatching management method in an embodiment of the present invention.

[0054] Figure 2 It is a flow chart of the additional number of people in the vehicle dispatching management method in the embodiment of the present invention.

[0055] Figure 3 It is a schematic diagram of the second vehicle return process of the vehicle dispatching management method in an embodiment of the present invention.

[0056] Figure 4 It is a flow chart of the vehicle dispatching logic of the vehicle dispatching management method in an embodiment of the present invention.

[0057] Figure 5 The system block diagram of a vehicle dispatching management system in an embodiment of the present invention. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0059] The present invention provides a vehicle dispatch management method that classifies scattered primitive models into business models, thereby automatically repairing irregular designs and facilitating the development of subsequent design tasks and business operations. The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the disclosure of the present invention and its application or use.

[0060] Specifically, the embodiments of the present application are further described below in conjunction with the accompanying drawings.

[0061] like Figures 1 to 4 As shown, an embodiment of the present invention provides a vehicle dispatch management method, which is used to classify scattered graph primitive models into business models; the method comprises the following steps:

[0062] S1: Get the number of new people in the park.

[0063] S2: Checking the number of first vehicles at the starting point of the park based on the newly added number of people, and monitoring each second vehicle in a driving state.

[0064] S3: Calculate the number of second vehicles returning within a preset time according to the driving information of each of the second vehicles.

[0065] S4: A statistical model of the number of new people introduced into the park is created based on the number of the second vehicles returning, and a vehicle dispatch logic is constructed with the number of the first vehicles.

[0066] S5: Based on the vehicle scheduling logic, the adjustment of the number of the first vehicles is triggered, and based on the first vehicles at the storage location, unmanned driving is performed along the path planning and drives to the starting point of the park.

[0067] In this embodiment, the technical solution provided by the present invention checks the number of first vehicles at the starting point of the park based on the number of new people, and calculates the number of second vehicles returning within a preset time according to the driving information of each second vehicle, so as to introduce a statistical model of the new number of people into the park according to the number of second vehicles returning, and construct a vehicle scheduling logic with the number of first vehicles, and trigger the adjustment of the number of first vehicles based on the vehicle scheduling logic, so as to introduce the number of second vehicles returning into the number of first vehicles, and dynamically adjust the number of first vehicles, fully consider the return situation of the second vehicle, ensure that the number of first vehicles is adapted to the regulation of the number of new people, improve the centralized control of the vehicle scheduling management method and the full scheduling of each vehicle, and ensure the freedom and rationality of vehicle scheduling.

[0068] Specifically, S11: obtaining the number of new people in the park;

[0069] In the specific implementation process of the present invention, the specific steps may be:

[0070] A preliminary estimate of the number of people in the park is made based on the ticket verification data, and additional statistics are made on the increased ticket verification data, so as to sort out the corresponding additional number of people in the park based on the increased ticket verification data, thereby obtaining the additional number of people in the park. Optionally, the headcount can also be monitored to calculate the corresponding additional number to determine the new number of people in the park.

[0071] S12: checking the number of first vehicles at the starting point of the park based on the newly added number of people, and monitoring each second vehicle in a driving state;

[0072] In the specific implementation process of the present invention, the specific steps may be:

[0073] S111: Collect pictures of people who are about to enter the park;

[0074] S112: freezing the surrounding area of ​​the child or the elderly in the crowd image and forming an area to be counted;

[0075] S113: Determine family roles based on the interaction scenes of children or the elderly in the area to be counted;

[0076] S114: counting the number of new people according to the family roles;

[0077] S115: checking the number of first vehicles at the starting point of the park based on the newly added number of people, and monitoring each second vehicle in a driving state;

[0078] Among them, as people move from the ticket inspector to the starting point of the park, cameras in multiple directions shoot the area between the ticket inspector and the starting point of the park and use it as a viewing screen to collect pictures of people who are about to enter the park. Based on the pictures of people flow, the corresponding information of people groups can be counted, and circle statistics can be performed based on family relationships.

[0079] Freeze the surrounding area of ​​the children or the elderly in the crowd picture and form the area to be counted; determine the family roles based on the interaction scenes of the children or the elderly in the area to be counted. At this time, we list the interaction scenes and conduct multi-faceted learning based on the scene learning model, so that the scene learning model can capture the interaction scenes of the children or the elderly, and perform scene recognition on the interaction scenes to determine the collective of family relationships. The interaction scenes are handshakes, fighting, running around, etc.

[0080] Identify people with family relationships to conduct preliminary consumer statistics and determine the primary consumers who use the vehicle, so as to facilitate vehicle dispatch based on the number of primary consumers, focus consumption on interactive scenarios with children or the elderly, and conduct cluster consumption.

[0081] In addition, the newly added number of people is counted according to the family role; based on the newly added number of people, the number of first vehicles at the starting point of the park is checked, and each second vehicle in driving state is monitored to consider the return situation of the second vehicle.

[0082] S13: Calculating the number of second vehicles that return within a preset time according to the driving information of each of the second vehicles;

[0083] In the specific implementation process of the present invention, the specific steps may be:

[0084] S131: Recording the driving position of each of the second vehicles, and dynamically calibrating the driving position;

[0085] S132: Collecting the position information or the stop information of the second vehicle, and calculating the fault condition and the fault scenario of the second vehicle based on the position information or the stop information;

[0086] S133: Tracing back the non-traveled route of the second vehicle corresponding to the fault scenario;

[0087] S134: traversing each third vehicle on the same route as the second vehicle;

[0088] S135: Find each of the third vehicles adjacent to the second vehicle, and transmit the number of passengers of the second vehicle in a faulty state to each of the third vehicles;

[0089] S136: Each of the third vehicles is matched with the number of passengers of the second vehicle in the faulty state based on the number of passengers of the third vehicle itself, so as to transfer the passengers of the second vehicle in the faulty state.

[0090] Among them, the driving position of each second vehicle is recorded, and the driving position is dynamically calibrated, and the driving position and driving status of each second vehicle are monitored, and the position information or stop information of the second vehicle is collected, and the fault condition and fault scenario of the second vehicle are calculated based on the position information or stop information.

[0091] At this time, the posture information or stop information is used as reference data and as a reference factor for the fault condition and fault scenario of the second vehicle. When the vehicle stops in an excessive manner or loses its center, it is easy for the vehicle to be on standby and the personnel to stop when the vehicle stops, triggering the rescue of other vehicles based on the vehicle's fault monitoring.

[0092] Therefore, based on the fault scenario, the corresponding untraveled route of the second vehicle is traced back; the third vehicles on the same route as the second vehicle are traversed; the third vehicles adjacent to the second vehicle are found, and the number of passengers of the second vehicle in a faulty state is transferred to each third vehicle; each third vehicle is matched with the number of passengers of the second vehicle in a faulty state based on its own empty passengers, so as to transfer the passengers of the second vehicle in a faulty state.

[0093] In addition, the method of calculating the number of second vehicles returning within the preset time based on the driving information of each second vehicle includes: collecting the return route of the second vehicle; locating the second vehicle that is within the location to be counted in the return route; predicting the first time of the second vehicle returning to the starting point, if the first time reaches the preset time, then the second vehicle is regarded as the second vehicle to return, and the number of second vehicles returning is counted; and the number of first vehicles is adjusted based on the number of second vehicles returning.

[0094] S14: A statistical model of the number of new people introduced into the park is generated according to the number of the second vehicles returning, and a vehicle dispatching logic is constructed with the number of the first vehicles;

[0095] In the specific implementation process of the present invention, the specific steps may be:

[0096] S141: Return the number of the second vehicles as a first parameter;

[0097] S142: introducing a statistical model of the number of new people in the park based on the first parameter, and calculating the number of first vehicles together with the number of new people in the park;

[0098] S143: constructing a vehicle dispatching logic based on the first parameter, the number of new people in the park, and the number of vehicles of the first vehicle, and dynamically adjusting the number of vehicles of the first vehicle based on the vehicle dispatching logic;

[0099] S144: Obtain the previous first parameter, the number of new people in the park, and the number of the first vehicle;

[0100] S145: Input the previous first parameter, the number of new people in the park and the number of the first vehicle into the scheduling learning model, and perform learning operations to form a vehicle scheduling logic, wherein the result output by the scheduling learning model is the result of the vehicle scheduling logic.

[0101] Among them, a statistical model of the new number of people introduced into the park is based on the first parameter, and the number of vehicles of the first vehicle is calculated together with the new number of people in the park, and the factors of the return number of the second vehicle and the new number of people in the park are introduced into the number of vehicles of the first vehicle, so as to introduce the return number of the second vehicle into the number of vehicles of the first vehicle, and dynamically adjust the number of vehicles of the first vehicle, fully consider the return situation of the second vehicle, ensure that the number of vehicles of the first vehicle is adapted to the regulation of the new number of people, improve the centralized control of the vehicle scheduling management method and the full scheduling of each vehicle, and ensure the freedom and rationality of vehicle scheduling.

[0102] At this time, the previous first parameter, the number of new people in the park, and the number of vehicles of the first vehicle are obtained; the previous first parameter, the number of new people in the park, and the number of vehicles of the first vehicle are input into the scheduling learning model, and a learning operation is performed to form a vehicle scheduling logic, wherein the result output by the scheduling learning model is the result of the vehicle scheduling logic.

[0103] S15: triggering adjustment of the number of the first vehicle based on the vehicle scheduling logic, and the first vehicle at the storage location performs unmanned driving along the path planning and drives to the starting point of the park;

[0104] In the specific implementation process of the present invention, the specific steps may be:

[0105] S151: triggering adjustment of the number of vehicles of the first vehicle based on the vehicle scheduling logic, and adjusting the number of vehicles of the first vehicle;

[0106] S152: adjusting the number of the first vehicles, triggering the first vehicles in the storage area in sequence;

[0107] S153: The first vehicle at the storage location performs path planning between the storage location and the starting point of the park;

[0108] S153: The first vehicle drives along the planned path and detects actual obstacles;

[0109] S153: Perform dynamic adjustment based on the outer contour of the actual obstacle, and control the adjustment range.

[0110] The technical solution provided by the present invention checks the number of first vehicles at the starting point of the park based on the newly added number of people, and calculates the number of second vehicles returning within a preset time according to the driving information of each second vehicle, so as to introduce a statistical model of the newly added number of people into the park according to the number of second vehicles returning, and construct a vehicle scheduling logic with the number of first vehicles, and trigger the adjustment of the number of first vehicles based on the vehicle scheduling logic, so as to introduce the number of second vehicles returning into the number of first vehicles, and dynamically adjust the number of first vehicles, fully consider the return situation of the second vehicle, ensure that the number of first vehicles is adapted to the regulation of the newly added number of people, improve the centralized control of the vehicle scheduling management method and the full scheduling of each vehicle, and ensure the freedom and rationality of vehicle scheduling.

[0111] In one embodiment of the present invention, a vehicle dispatching and management system is also disclosed, which adopts the above-mentioned vehicle dispatching and management method; the vehicle dispatching and management system includes an acquisition module 101, a monitoring module 102, a calculation module 103, a dispatching module 104 and an adjustment module 105.

[0112] The acquisition module 101 is used to acquire the number of new people in the park;

[0113] A monitoring module 102, configured to check the number of first vehicles at the starting point of the park based on the newly added number of people, and monitor each second vehicle in a driving state;

[0114] A calculation module 103, configured to calculate the number of second vehicles returning within a preset time according to the driving information of each of the second vehicles; and

[0115] A scheduling module 104, for building a vehicle scheduling logic based on a statistical model of the number of new people introduced into the park according to the number of the second vehicles returning and the number of the first vehicles;

[0116] The adjustment module 105 is used to trigger the adjustment of the number of the first vehicles based on the vehicle scheduling logic, and the first vehicles at the storage location perform unmanned driving along the path planning and drive to the starting point of the park.

[0117] In one embodiment of the present invention, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0118] In one embodiment of the present invention, a storage medium is further provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0119] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory.

[0120] In summary, the technical solution provided by the present invention can classify the scattered primitive models caused by the non-standard design in the three-dimensional model into business models, so as to automatically repair the three-dimensional model with non-standard design, which is convenient for the subsequent design tasks and business operations. It can not only reduce the waste of human resources, but also split the multi-classification business types into two-classification business types, input each primitive model into the trained classifier, and then provide relatively professional classification results during repair, determine the business type of each primitive model, so as to build a business model based on each primitive model of the determined business type, without the need for manual identification, which is convenient for distinguishing the business types of scattered primitive models, and then automatically repairing the non-standard design.

[0121] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A vehicle dispatching management method, comprising: Get the number of new people in the park; Checking the number of first vehicles at the starting point of the park based on the newly added number of people, and monitoring each second vehicle in a driving state; Calculating the number of second vehicles returning within a preset time according to the driving information of each of the second vehicles; A statistical model of the number of new people introduced into the park according to the number of the second vehicles returned, and a vehicle dispatch logic is constructed with the number of the first vehicles; Specifically, the number of the second vehicle returned is used as the first parameter; a statistical model of the number of new people in the park is introduced based on the first parameter, and the number of vehicles of the first vehicle is calculated together with the number of new people in the park; a vehicle scheduling logic is jointly constructed based on the first parameter, the number of new people in the park and the number of vehicles of the first vehicle, and the number of vehicles of the first vehicle is dynamically adjusted based on the vehicle scheduling logic; The adjustment of the number of vehicles of the first vehicle is triggered based on the vehicle dispatching logic, and the first vehicle at the storage place is driven unmanned along the path planning and drives to the starting point of the park.

2. The vehicle dispatching management method according to claim 1, characterized in that: The checking the number of first vehicles at the starting point of the park based on the newly added number of people and monitoring each second vehicle in a driving state includes: Collect pictures of people who are about to enter the park; Freeze the surrounding area of ​​the child or the elderly in the crowd flow picture to form an area to be counted; Determine family roles based on the interaction scenarios of children or the elderly in the area to be counted; Count the additional people according to family roles; The number of first vehicles at the starting point of the park is checked based on the newly added number of people, and each second vehicle in a driving state is monitored.

3. The vehicle dispatching management method according to claim 2, characterized in that: The calculating the number of second vehicles returning within a preset time according to the driving information of each second vehicle includes: Recording the driving position of each of the second vehicles and dynamically calibrating the driving position; The position information or the stop information of the second vehicle is collected, and the fault condition and the fault scenario of the second vehicle are calculated based on the position information or the stop information.

4. The vehicle dispatching management method according to claim 3, characterized in that: The method of calculating the number of second vehicles returning within a preset time according to the driving information of each second vehicle further includes: Backtracking the untraveled route of the second vehicle corresponding to the fault scenario; Traversing each third vehicle on the same route as the second vehicle; Finding each of the third vehicles adjacent to the second vehicle, and transmitting the number of passengers of the second vehicle in a faulty state to each of the third vehicles; Each of the third vehicles is matched with the number of passengers in the second vehicle in a faulty state based on the number of passengers in the third vehicle itself so as to transfer the passengers in the second vehicle in a faulty state.

5. The vehicle dispatching management method according to claim 4, characterized in that: The calculating the number of second vehicles returning within a preset time according to the driving information of each second vehicle includes: collecting a return route of the second vehicle; Locating a second vehicle in the return route that is within the location to be counted; Predicting the first time for the second vehicle to return to the starting point, if the first time reaches the preset time, the second vehicle is regarded as the second vehicle to return, and the number of the second vehicles that return is counted; The vehicle count of the first vehicles is adjusted based on the number of second vehicles returned.

6. The vehicle dispatching management method according to claim 5, characterized in that: The statistical model of the additional number of people introduced into the park according to the number of the second vehicles returned, and the vehicle dispatch logic constructed with the number of the first vehicles, also includes: Obtain the previous first parameter, the number of new people in the park, and the number of vehicles of the first vehicle; The previous first parameter, the number of new people in the park and the number of the first vehicle are input into the scheduling learning model, and a learning operation is performed to form a vehicle scheduling logic, wherein the result output by the scheduling learning model is the result of the vehicle scheduling logic.

7. The vehicle dispatching management method according to claim 6, characterized in that: The adjusting of the number of vehicles of the first vehicle is triggered based on the vehicle scheduling logic, and the first vehicle at the storage location is driven unmanned along the path planning and drives to the starting point of the park, including: triggering adjustment of the vehicle number of the first vehicle based on the vehicle dispatch logic, and adjusting the vehicle number of the first vehicle; The adjustment of the number of vehicles of the first vehicles sequentially triggers the first vehicles in the storage area; The first vehicle at the storage location performs path planning based on the path between the storage location and the starting point of the park; The first vehicle drives along the planned path and detects actual obstacles; Dynamic adjustments are made based on the outer contour of the actual obstacle, and the adjustment range is controlled.

8. A vehicle dispatching management system, characterized in that: The vehicle dispatching management system adopts the vehicle dispatching management method described in any one of claims 1 to 7; The vehicle dispatching management system comprises: The acquisition module is used to obtain the number of new people in the park; A monitoring module, used for checking the number of first vehicles at the starting point of the park based on the newly added number of people, and monitoring each second vehicle in a driving state; a calculation module, configured to calculate the number of second vehicles returning within a preset time according to the driving information of each of the second vehicles; and A scheduling module, used to generate a statistical model of the number of new people introduced into the park according to the number of returns of the second vehicles, and to construct a vehicle scheduling logic with the number of the first vehicles; An adjustment module is used to trigger the adjustment of the number of the first vehicle based on the vehicle scheduling logic, and the first vehicle at the storage place performs unmanned driving along the path planning and drives to the starting point of the park.

9. A storage medium storing a computer program, characterized in that: When the computer program is loaded and executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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