Intelligent control method and system for buses

Abstract

The present invention discloses a method and system for intelligent management of a public bus, comprising the following steps: step S1, the system receives a user's application for a bus, and dispatches a bus terminal with the lowest convenience for picking up the bus according to the user's starting coordinates for the user to use when traveling, so as to ensure the efficiency of the user's acquisition of the bus terminal; step S2, the system collects the location information of the bus terminal in real time, and performs intelligent early warning when the location information deviates from the planned bus path, and standardizes supervision to ensure the standardization of the use of the bus; step S3, after the use of the bus is completed, the driving fee is calculated based on the driving information of the bus terminal to generate a bus fee bill. The present invention determines whether the bus terminal is out of the planned bus path by calculating the deviation between the bus terminal and the planned bus path, and warns the driver of the bus terminal that is out of the planned bus path to use the bus in a standardized manner, so as to avoid the driver from using the bus privately.

Description

Technical Field

[0001] The present invention relates to the technical field of bus control, and in particular to an intelligent bus control method and system. Background Art

[0002] A public car refers to a vehicle that is provided to enterprise staff when they go out to perform tasks. It is mainly divided into two categories: fixed cars for enterprise leaders and vehicles used by outgoing personnel for enterprise tasks.

[0003] Public vehicle management has always been a difficult point for enterprises and institutions. Most of them have unclear, imprecise and inconsistent management loopholes. For example, the itinerary and location of the vehicles are unclear, the reimbursement of expenses for outings is inaccurate, and there is no unified reimbursement standard, which brings difficulties to the public vehicle management of enterprises and institutions. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent control method and system for a bus to solve the technical problem that it is difficult to achieve precise control in the prior art.

[0005] In order to solve the above technical problems, the present invention specifically provides the following technical solutions:

[0006] A method for intelligent control of a bus, comprising the following steps:

[0007] Step S1, the system receives a user's car application, and dispatches a bus terminal with the lowest car-picking convenience for the user to use according to the user's starting coordinates, so as to ensure the efficiency of the user's acquisition of the bus terminal. The car-picking convenience is characterized as an indicator of the convenience of the path from the user's starting coordinates to the parking coordinates of the bus terminal;

[0008] Step S2, the system collects the location information of the bus terminal in real time, and performs intelligent warning and standardized supervision when the location information deviates from the bus planning path to ensure the standardization of bus use. The bus planning path refers to the driving path pre-planned by the system from the parking coordinates of the bus terminal to the target coordinates of the user;

[0009] Step S3: After the bus is used, the driving fee is calculated based on the driving information of the bus terminal to generate a bus fee bill, and the company's bus expenses in the future are predicted based on all bus fee bills to plan in advance.

[0010] As a preferred solution of the present invention, a bus terminal with the lowest pick-up convenience is dispatched for the user to use when traveling according to the user's starting coordinates, including:

[0011] The Euclidean distance between the parking coordinates of each bus terminal and the user's starting coordinates is calculated in turn, and the convenience of picking up the bus at each bus terminal is constructed based on the Euclidean distance. The calculation formula of the convenience of picking up the bus is:

[0012]

[0013] In the formula, S i Represented as the convenience of picking up the bus at the i-th bus terminal, x i ,y i They represent the horizontal and vertical coordinates of the parking coordinates of the i-th bus terminal, respectively, x0 and y0 represent the horizontal and vertical coordinates of the user's starting coordinates, respectively, i is a measurement constant with no substantial meaning, and m is the total number of bus terminals;

[0014] The bus terminal corresponding to the lowest convenience of picking up the bus is selected as the bus terminal assigned to the user by the system.

[0015] As a preferred solution of the present invention, the system pre-plans the bus planned path, including: using the A-Star algorithm to perform a path search between the parking coordinates of the bus terminal and the user's target coordinates to obtain a driving path with the lowest driving cost, and using the driving path with the lowest driving cost as the bus planned path.

[0016] As a preferred solution of the present invention, when the location information deviates from the planned bus route, intelligent warning and standardized supervision are performed, including:

[0017] The system starts the offset supervision mode for the bus terminal, including:

[0018] The system collects the position coordinates of the bus terminal in real time during driving, and calculates the offset between the position coordinates and the bus planning path, where:

[0019] If the deviation between the position coordinates of the bus terminal and the bus planning path is higher than the deviation threshold, it is determined that the bus terminal is out of the bus planning path, and the system starts intelligent warning for the driver of the bus terminal to prompt the driver to drive the bus back to the bus planning path to achieve standardized use of the bus;

[0020] If the deviation between the position coordinates of the bus terminal and the planned bus path is higher than the deviation threshold, it is determined that the bus terminal has not deviated from the planned bus path, and the system does not initiate intelligent warning for the driving object of the bus terminal.

[0021] As a preferred solution of the present invention, calculating the offset between the position coordinates and the planned bus path includes:

[0022] Discretizing the planned bus path into a plurality of path points, and fitting the plurality of path points into a mathematical curve having a curve expression based on the path point coordinates;

[0023] The shortest distance from the position coordinate to the mathematical curve is calculated, and the shortest distance is used as the deviation degree to measure the degree of deviation between the position coordinate of the bus terminal during driving and the planned path of the bus.

[0024] As a preferred solution of the present invention, when the location information deviates from the planned bus route, intelligent warning and standardized supervision are performed, which also includes:

[0025] The driver submits a shift application to the system with one click at the bus terminal, so that the system starts the shift-free supervision mode for the bus terminal until the shift-free supervision mode application duration in the shift application ends, then stops the shift-free supervision mode and resumes the shift-free supervision mode, wherein:

[0026] The supervision-free mode does not calculate the offset between the position coordinates of the bus terminal and the bus planned path during the application period of the supervision-free mode, and the bus terminal is assumed to have not deviated from the bus planned path, and the driving scene of the supervision-free mode is monitored throughout the process.

[0027] As a preferred solution of the present invention, after the bus is used, the driving fee is calculated based on the driving information of the bus terminal to generate a bus fee bill, including:

[0028] The driving scene in the non-supervision mode is reviewed to determine the rationality of the driving trajectory in the non-supervision mode, wherein:

[0029] If the driving trajectory in the non-supervision mode is unreasonable, the driving fee will be calculated according to the actual driving trajectory of the bus terminal;

[0030] If the driving trajectory in the non-supervision mode is reasonable, the driving fee is calculated based on the driving trajectory obtained by subtracting the driving trajectory in the non-supervision state from the actual driving trajectory of the bus terminal.

[0031] As a preferred solution of the present invention, all bus expense bills are used to predict the bus expenses of the enterprise in the future time sequence, including:

[0032] The bus fee bill is used to count the number of times the bus is used and the cost on a monthly basis, and the number of times the bus is used and the cost are predicted using an LSTM neural network to obtain the number of times the bus is used and the cost in the future time series;

[0033] Make advance plans for bus budget approval and bus maintenance management based on the number of times the bus is used and the costs in the future.

[0034] As a preferred solution of the present invention, the present invention provides a control system according to the intelligent control method of a bus, characterized in that it includes:

[0035] The bus dispatching unit is used to receive the user's bus application and dispatch the bus terminal with the lowest bus pickup convenience according to the user's starting coordinates for the user to use when traveling, so as to ensure the efficiency of the user's acquisition of the bus terminal. The bus pickup convenience is characterized as an indicator measuring the convenience of the path from the user's starting coordinates to the parking coordinates of the bus terminal;

[0036] The trip monitoring unit is used to collect the location information of the bus terminal in real time, and to provide intelligent warning and standardized supervision when the location information deviates from the bus planning path to ensure the standardization of bus use. The bus planning path refers to the driving path pre-planned by the system from the parking coordinates of the bus terminal to the user's target coordinates;

[0037] The management planning unit is used to calculate the driving fee based on the driving information of the bus terminal after the bus is used to generate a bus fee bill, and to predict the company's bus expenses in the future based on all bus fee bills for advance planning.

[0038] As a preferred solution of the present invention, the bus dispatching unit, the itinerary monitoring unit, and the management planning unit perform remote data exchange via the network protocol IPV4 / IPV6.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] The present invention plans the itinerary according to the target location in the bus use application to obtain all feasible bus planning paths, determines whether the bus terminal deviates from the bus planning path by calculating the deviation between the bus terminal and the bus planning path, and issues an early warning to the deviated bus terminal to remind the driver to use the bus in a standardized manner, thereby preventing the driver from using the bus for private purposes. In order to improve the driver's flexibility in dealing with road conditions, a certain length of supervision-free state is set, giving the driver a certain degree of autonomy to resolve emergencies during driving, thereby embodying the humanization and flexibility of bus management and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0042] Figure 1A flow chart of the intelligent management and control method provided by an embodiment of the present invention;

[0043] Figure 2 This is a structural block diagram of the management and control system provided in an embodiment of the present invention.

[0044] The numbers in the figure represent the following:

[0045] 1-Bus dispatch unit; 2-trip monitoring unit; 3-management planning unit. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] like Figure 1 As shown, the present invention provides an intelligent control method for a bus, comprising the following steps:

[0048] Step S1, the system receives the user's car application, and dispatches the bus terminal with the lowest car-picking convenience for the user to use according to the user's starting coordinates, so as to ensure the efficiency of the user's acquisition of the bus terminal. The car-picking convenience is characterized as an indicator of the convenience of the path from the user's starting coordinates to the parking coordinates of the bus terminal;

[0049] According to the user's starting coordinates, the bus terminal with the lowest pick-up convenience is dispatched for the user to use, including:

[0050] The Euclidean distance between the parking coordinates of each bus terminal and the user's starting coordinates is calculated in turn, and the convenience of picking up the bus at each bus terminal is constructed based on the Euclidean distance. The calculation formula for the convenience of picking up the bus is:

[0051]

[0052] In the formula, S i Represented as the convenience of picking up the bus at the i-th bus terminal, x i ,y i They represent the horizontal and vertical coordinates of the parking coordinates of the i-th bus terminal, respectively, x0 and y0 represent the horizontal and vertical coordinates of the user's starting coordinates, respectively, i is a measurement constant with no substantial meaning, and m is the total number of bus terminals;

[0053] The bus terminal corresponding to the lowest convenience of picking up the bus is selected as the bus terminal assigned to the user by the system.

[0054] The shorter the Euclidean distance between the parking coordinates of the bus terminal and the user's starting coordinates, the easier it is to pick up the bus. i The lower it is, the closer the bus terminal is to the user, the shorter the time it takes for the user to reach the bus terminal, and the higher the efficiency of picking up the bus. On the contrary, the longer the Euclidean distance between the parking coordinates of the bus terminal and the user's starting coordinates, the higher the convenience of picking up the bus S. i The higher it is, the farther the bus terminal is from the user, the longer it takes the user to reach the bus terminal, and the lower the efficiency of picking up the bus. Therefore, the convenience of picking up the bus is used to evaluate the efficiency of users picking up the bus, so that the pickup operation can be performed more efficiently and time can be saved.

[0055] Step S2: The system collects the location information of the bus terminal in real time, and performs intelligent warning and standardized supervision when the location information deviates from the bus planning path to ensure the standardization of bus use. The bus planning path refers to the driving path pre-planned by the system from the parking coordinates of the bus terminal to the user's target coordinates;

[0056] The system pre-plans the bus route, including: using the A-Star algorithm to search for a path between the parking coordinates of the bus terminal and the user's target coordinates to obtain a driving path with the lowest driving cost, and using the driving path with the lowest driving cost as the bus route.

[0057] Provide intelligent warning when the location information deviates from the planned bus route, and provide standardized supervision, including:

[0058] The system starts the offset supervision mode for the bus terminal, including:

[0059] The system collects the location coordinates of the bus terminal in real time during driving, and calculates the offset between the location coordinates and the bus planning path.

[0060] If the deviation between the location coordinates of the bus terminal and the bus planning path is higher than the deviation threshold, it is determined that the bus terminal is out of the bus planning path, and the system starts intelligent warning to the driver of the bus terminal to prompt the driver to drive the bus back to the bus planning path to achieve standardized use of the bus;

[0061] If the deviation between the position coordinates of the bus terminal and the planned bus path is higher than the deviation threshold, it is determined that the bus terminal has not deviated from the planned bus path, and the system does not initiate intelligent warning for the driving object of the bus terminal.

[0062] Calculate the offset between the location coordinates and the planned bus path, including:

[0063] Discretize the planned bus path into multiple path points, and fit the multiple path points into a mathematical curve with a curve expression based on the path point coordinates;

[0064] The shortest distance from the location coordinate to the mathematical curve is calculated, and the shortest distance is used as the offset to measure the degree of deviation between the location coordinate of the bus terminal during driving and the planned path of the bus.

[0065] This embodiment provides an example of calculating the deviation. For example, after the planned bus path is discretized, the mathematical curve obtained by fitting is Ax+By+C=0, where x and y are horizontal and vertical coordinates, A and B are constant coefficients, and C is a constant term. The position coordinates of the bus terminal during driving are (x p ,y p ), then the shortest distance from the location coordinates of the bus terminal to the mathematical curve is: The smaller it is, the closer the bus terminal is to the bus planning path. The larger the value is, the farther the bus terminal is from the planned bus path. The shortest distance is compared with the offset threshold to determine whether the bus terminal is out of the planned bus path.

[0066] Intelligent warning and standardized supervision are provided when the location information deviates from the planned bus route, including:

[0067] The driver submits an offset application to the system with one click at the bus terminal, so that the system starts the offset supervision-free mode for the bus terminal until the application duration of the supervision-free mode in the offset application ends, then stops the supervision-free mode and resumes the offset supervision mode.

[0068] The supervision-free mode does not calculate the offset between the position coordinates of the bus terminal and the planned bus path during the application period of the supervision-free mode. The bus terminal is assumed to have not deviated from the planned bus path, and the driving scene of the supervision-free mode is monitored throughout the process. The real scene of the supervision-free mode is retained, which can facilitate the identification of the rationality of the driving of the bus terminal in the supervision-free mode.

[0069] When an abnormal event occurs in the road condition ahead or a physiological event occurs to the driver, the driving route needs to be changed. After the driving route is changed, it will inevitably deviate from the planned route of the bus, thereby triggering the early warning module to generate an intelligent early warning. However, when force majeure events such as abnormal events occur in the road condition ahead or a physiological event occurs to the driver, changing the route is a reasonable operation. In order to avoid triggering the early warning module, this embodiment sets a one-click quick submission of an offset application to quickly respond to force majeure events, further providing driving autonomy for the driver, and providing images to verify the situation of force majeure events deviating from the planned route of the bus, while providing autonomy and regulating driving behavior to avoid misuse of public equipment.

[0070] Step S3: After the bus is used, the driving fee is calculated based on the driving information of the bus terminal to generate a bus fee bill, and the company's bus expenses in the future are predicted based on all bus fee bills to plan in advance.

[0071] After the bus is used, the driving fee is calculated based on the driving information of the bus terminal to generate a bus fee bill, including:

[0072] The driving scene in the non-supervision mode is reviewed to determine the rationality of the driving trajectory in the non-supervision mode, among which:

[0073] If the driving trajectory in the non-supervision mode is unreasonable, the driving fee will be calculated according to the actual driving trajectory of the bus terminal;

[0074] If the driving trajectory in the non-supervision mode is reasonable, the driving fee is calculated based on the driving trajectory obtained by subtracting the driving trajectory in the non-supervision state from the actual driving trajectory of the bus terminal.

[0075] For reasonable driving trajectories in the unsupervised mode, fees will be waived. This is a reasonable unexpected situation and will not happen every time. However, for unreasonable driving trajectories in the unsupervised mode, fees will not be waived. This is to remind drivers to regulate their use of buses in a standardized manner.

[0076] Use all bus expense bills to forecast your company's bus expenses in the future, including:

[0077] The bus fee bill is used to count the number of times and costs of bus use on a monthly basis, and the LSTM neural network is used to predict the number of times and costs of bus use in the future time series.

[0078] Make advance plans for bus budget approval and bus maintenance management based on the number of times the bus is used and the costs in the future.

[0079] like Figure 2 As shown, based on the above-mentioned intelligent control method of buses, the present invention provides a control system, which is characterized by comprising:

[0080] The bus dispatching unit is used to receive the user's bus application and dispatch the bus terminal with the lowest bus pickup convenience according to the user's starting coordinates for the user to use when traveling, so as to ensure the efficiency of the user's acquisition of the bus terminal. The bus pickup convenience is characterized by an indicator that measures the convenience of the path from the user's starting coordinates to the parking coordinates of the bus terminal;

[0081] The trip monitoring unit is used to collect the location information of the bus terminal in real time, and to provide intelligent warning and standardized supervision when the location information deviates from the bus planning path to ensure the standardization of bus use. The bus planning path refers to the driving path pre-planned by the system from the parking coordinates of the bus terminal to the user's target coordinates;

[0082] The management planning unit is used to calculate the driving fare based on the travel information of the bus terminal after the bus is used to generate a bus fare bill, and to predict the company's bus expenses in the future based on all bus fare bills for advance planning.

[0083] The bus dispatch unit, itinerary monitoring unit, and management planning unit perform remote data exchange via the network protocol IPV4 / IPV6.

[0084] The bus terminal sends the specific location of the vehicle to the management backend in real time through GPS (Global Positioning System) or the Beidou satellite navigation system independently developed by my country (later it can be combined with mobile communication networks such as 5G Internet of Vehicles to improve positioning accuracy). You can choose one of the following three methods:

[0085] 1. Use the vehicle's original satellite positioning module (no need to install additional equipment). Note: At this stage, all civilian vehicles in my country have built-in satellite positioning receivers, and some new vehicles have already realized the Internet of Vehicles system, so there is no need to add any new equipment to the vehicle to send real-time positioning data.

[0086] 2. Install the driving recorder used with the software. The driving recorder has basic image and audio acquisition functions, GPS or Beidou positioning module, 5G network module, vehicle speed sensor, fuel sensor, etc. Provide relevant data for the system for data analysis and data calculation of the overall background system.

[0087] 3. Install a mobile phone terminal that supports multiple APPs. Use the mobile phone terminal to collect images, audio, location and transmission data through the supporting electronic map APP (Baidu, AutoNavi, etc.), video recording APP (built-in mobile terminal), and communication APP (WeChat, QQ, etc.). You can also use the electronic map APP to perform real-time speed measurement and provide the system with relevant data for data analysis and data calculation of the overall background system.

[0088] The satellite positioning receiver number (unique) of the bus terminal is bound to the vehicle frame number, engine number, vehicle license plate and owner information in the system background. The specific information and location of the vehicle can be determined by obtaining any of the above information.

[0089] The management planning unit is also connected to an external automobile network platform to obtain vehicle information, clarify the fuel consumption and maintenance costs of each car, and convert them into vehicle damage costs per kilometer through unified calculation. It is also connected to an external oil price platform to obtain the current daily fuel unit price, and calculate and convert it into actual fuel costs based on the fuel unit price and mileage of the driving trajectory for the generation of bus expense bills.

[0090] The present invention plans the itinerary according to the target location in the bus use application to obtain all feasible bus planning paths, determines whether the bus terminal deviates from the bus planning path by calculating the deviation between the bus terminal and the bus planning path, and issues an early warning to the deviated bus terminal to remind the driver to use the bus in a standardized manner, thereby preventing the driver from using the bus for private purposes. In order to improve the driver's flexibility in dealing with road conditions, a certain length of supervision-free state is set, giving the driver a certain degree of autonomy to resolve emergencies during driving, thereby embodying the humanization and flexibility of bus management and control.

[0091] The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application. The protection scope of the present application is defined by the claims. Those skilled in the art may make various modifications or equivalent substitutions to the present application within the essence and protection scope of the present application, and such modifications or equivalent substitutions shall also be deemed to fall within the protection scope of the present application.

Claims

1. An intelligent bus control method, characterized in that: The following steps are involved: Step S1, the system receives a user's car application, and dispatches a bus terminal with the lowest car-picking convenience for the user to use according to the user's starting coordinates, so as to ensure the efficiency of the user's acquisition of the bus terminal. The car-picking convenience is characterized as an indicator of the convenience of the path from the user's starting coordinates to the parking coordinates of the bus terminal; Step S2, the system collects the location information of the bus terminal in real time, and performs intelligent warning and standardized supervision when the location information deviates from the bus planning path to ensure the standardization of bus use. The bus planning path refers to the driving path pre-planned by the system from the parking coordinates of the bus terminal to the target coordinates of the user; Step S3: after the bus is used, the driving fee is calculated based on the driving information of the bus terminal to generate a bus fee bill, and the bus expenses of the enterprise in the future are predicted based on all the bus fee bills to make advance planning; When the location information deviates from the planned bus route, intelligent warning and standardized supervision are carried out, including: The system starts the offset supervision mode for the bus terminal, including: The system collects the position coordinates of the bus terminal in real time during driving, and calculates the offset between the position coordinates and the bus planning path, where: If the deviation between the position coordinates of the bus terminal and the bus planning path is higher than the deviation threshold, it is determined that the bus terminal is out of the bus planning path, and the system starts intelligent warning for the driver of the bus terminal to prompt the driver to drive the bus back to the bus planning path to achieve standardized use of the bus; If the deviation between the position coordinates of the bus terminal and the bus planning path is higher than the deviation threshold, it is determined that the bus terminal has not deviated from the bus planning path, and the system does not initiate intelligent warning for the driving object of the bus terminal; Calculating the offset between the position coordinates and the planned bus path includes: Discretizing the planned bus path into a plurality of path points, and fitting the plurality of path points into a mathematical curve having a curve expression based on the path point coordinates; Calculating the shortest distance from the position coordinate to the mathematical curve, and using the shortest distance as the deviation to measure the degree of deviation between the position coordinate of the bus terminal during driving and the planned path of the bus; When the location information deviates from the planned bus route, intelligent warning and standardized supervision are carried out, including: The driver submits a shift application to the system with one click at the bus terminal, so that the system starts the shift-free supervision mode for the bus terminal until the shift-free supervision mode application duration in the shift application ends, then stops the shift-free supervision mode and resumes the shift-free supervision mode, wherein: The supervision-free mode does not calculate the offset between the position coordinates of the bus terminal and the bus planned path during the application period of the supervision-free mode, and the bus terminal is assumed to have not deviated from the bus planned path, and the driving scene of the supervision-free mode is monitored throughout the process.

2. According to claim 1, the intelligent control method of a bus is characterized by: According to the user's starting coordinates, the bus terminal with the lowest pick-up convenience is dispatched for the user to use, including: The Euclidean distance between the parking coordinates of each bus terminal and the user's starting coordinates is calculated in turn, and the convenience of picking up the bus at each bus terminal is constructed based on the Euclidean distance. The calculation formula of the convenience of picking up the bus is: In the formula, S i Represented as the convenience of picking up the bus at the i-th bus terminal, x i ,y i They represent the horizontal and vertical coordinates of the parking coordinates of the i-th bus terminal, respectively, x0 and y0 represent the horizontal and vertical coordinates of the user's starting coordinates, respectively, i is a measurement constant with no substantial meaning, and m is the total number of bus terminals; The bus terminal corresponding to the lowest convenience of picking up the bus is selected as the bus terminal assigned to the user by the system.

3. The intelligent control method for a bus according to claim 2 is characterized by: The system pre-plans the bus route, including: The A-Star algorithm is used to search for a path between the parking coordinates of the bus terminal and the target coordinates of the user to obtain a driving path with the lowest driving cost, and the driving path with the lowest driving cost is used as the bus planning path.

4. The intelligent control method for a bus according to claim 3 is characterized in that: After the bus is used, the driving fee is calculated based on the driving information of the bus terminal to generate a bus fee bill, including: The driving scene in the non-supervision mode is reviewed to determine the rationality of the driving trajectory in the non-supervision mode, wherein: If the driving trajectory in the non-supervision mode is unreasonable, the driving fee will be calculated according to the actual driving trajectory of the bus terminal; If the driving trajectory in the non-supervision mode is reasonable, the driving fee is calculated based on the driving trajectory obtained by subtracting the driving trajectory in the non-supervision state from the actual driving trajectory of the bus terminal.

5. The intelligent control method of a bus according to claim 4 is characterized in that: Use all bus expense bills to forecast your company's bus expenses in the future, including: The bus fee bill is used to count the number of times the bus is used and the cost on a monthly basis, and the number of times the bus is used and the cost are predicted using an LSTM neural network to obtain the number of times the bus is used and the cost in the future time series; Make advance plans for bus budget approval and bus maintenance management based on the number of times the bus is used and the costs in the future.

6. A control system for the intelligent control method of a bus according to any one of claims 1 to 5, characterized in that: include: The bus dispatching unit is used to receive the user's bus application and dispatch the bus terminal with the lowest bus pickup convenience according to the user's starting coordinates for the user to use when traveling, so as to ensure the efficiency of the user's acquisition of the bus terminal. The bus pickup convenience is characterized as an indicator measuring the convenience of the path from the user's starting coordinates to the parking coordinates of the bus terminal; The trip monitoring unit is used to collect the location information of the bus terminal in real time, and to provide intelligent warning and standardized supervision when the location information deviates from the bus planning path to ensure the standardization of bus use. The bus planning path refers to the driving path pre-planned by the system from the parking coordinates of the bus terminal to the user's target coordinates; The management planning unit is used to calculate the driving fee based on the driving information of the bus terminal after the bus is used to generate a bus fee bill, and to predict the company's bus expenses in the future based on all bus fee bills for advance planning.

7. A management and control system according to claim 6, characterized in that: The bus dispatching unit, the itinerary monitoring unit and the management planning unit perform remote data exchange via the network protocol IPV4 / IPV6.

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