Dynamic loading adjustment method, device and equipment

Abstract

The invention provides a dynamic loading adjustment method, device and equipment. The method comprises the following steps: acquiring related information of a to-be-added vehicle input by a user; and adjusting the train timetable according to the related information of the to-be-added vehicles. According to the method, the train timetable and train number arrangement are dynamically adjusted, the passenger experience is improved, especially in the peak period, the waiting time of passengers is effectively shortened, and the crowding phenomenon is effectively relieved.

Description

Technical Field

[0001] This invention relates to the field of transportation technology, and in particular to a method, apparatus, and equipment for dynamically adjusting vehicle additions. Background Technology

[0002] With the rapid development of urban rail transit, train scheduling has become crucial for ensuring traffic efficiency and passenger experience. Traditional train scheduling methods mostly rely on predetermined timetables and fixed train services, which can easily lead to supply-demand imbalances when passenger flow fluctuates significantly. Existing automatic scheduling systems often rely on manual judgment or static adjustment rules when encountering surges in passenger flow or emergencies, resulting in slow response times and difficulty in meeting dynamic demands. Summary of the Invention

[0003] This invention provides a method, apparatus, and equipment for dynamically adjusting train schedules and train numbers, thereby improving the passenger experience, especially during peak hours, effectively reducing passenger waiting time and alleviating congestion.

[0004] This invention provides a dynamic vehicle addition adjustment method, comprising the following steps.

[0005] Obtain the relevant information of the vehicle to be added, input by the user; Adjust the train timetable based on the relevant information of the vehicles to be added.

[0006] According to the dynamic vehicle addition adjustment method provided by the present invention, the relevant information of the vehicle to be added includes at least one of the following: The departure time, starting station, ending station, departure interval, and turnaround station of the vehicles to be added.

[0007] According to a dynamic train addition adjustment method provided by the present invention, before adjusting the train timetable based on the relevant information of the trains to be added, the method further includes: According to the preset vehicle addition strategy, the relevant information of the vehicles to be added is verified.

[0008] According to a dynamic vehicle addition adjustment method provided by the present invention, the step of verifying the relevant information of the vehicle to be added according to a preset vehicle addition strategy includes at least one of the following: Determine whether the departure time interval between the vehicles to be added and the currently operating vehicles is greater than a preset value; Determine whether the operating route between the starting station and the ending station of the vehicle to be added exists; Determine whether the operating route of the vehicle to be added conflicts with the operating route of the currently operating vehicle.

[0009] According to a dynamic vehicle addition adjustment method provided by the present invention, the method further includes: Acquire monitoring information; the monitoring information includes at least one of the following: passenger flow data, weather information, and event information; The monitoring information is input into the train adjustment model, and the adjusted train timetable is output.

[0010] According to a dynamic vehicle addition adjustment method provided by the present invention, the method further includes: The adjusted train timetable will be displayed graphically.

[0011] The present invention also provides a dynamic vehicle addition adjustment device, comprising the following modules: The acquisition module is used to acquire relevant information about the vehicles to be added, input by the user. The adjustment module is used to adjust the train timetable based on the relevant information of the vehicles to be added.

[0012] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the dynamic vehicle adjustment method as described above.

[0013] 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 dynamic vehicle adjustment method as described above.

[0014] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the dynamic vehicle adjustment method as described above.

[0015] The dynamic train addition adjustment method, apparatus, and equipment provided by this invention dynamically adjust the train timetable and train number arrangement by obtaining the train addition requirements manually input by dispatchers or operators based on actual operating conditions, thereby improving the passenger experience. Especially during peak hours, it effectively reduces passenger waiting time and alleviates congestion. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is one of the flowcharts of the dynamic vehicle addition adjustment method provided by the present invention.

[0018] Figure 2 This is the second flowchart of the dynamic vehicle addition adjustment method provided by the present invention.

[0019] Figure 3 This is a schematic diagram of the dynamic vehicle adjustment device provided by the present invention.

[0020] Figure 4 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0022] The following is combined Figures 1-4 The present invention describes the dynamic vehicle addition adjustment method, apparatus, and equipment.

[0023] To facilitate a clearer understanding of the technical solutions of the various embodiments of this application, some technical content related to the various embodiments of this application will be introduced first.

[0024] With the rapid development of urban rail transit, train scheduling has become crucial for ensuring traffic efficiency and passenger experience. Traditional train scheduling methods mostly rely on predetermined timetables and fixed train services, which can easily lead to supply-demand imbalances when passenger flow fluctuates significantly. Existing automatic scheduling systems often rely on manual judgment or static adjustment rules when encountering surges in passenger flow or emergencies, resulting in slow response times and difficulty in meeting dynamic demands.

[0025] For example, existing scheduling schemes, such as those based on timetables and rules, and those based on graph algorithms, can typically adjust schedules within a certain range. However, when demand changes, the system's adaptability and intelligence are insufficient, still requiring significant manual intervention, especially during peak passenger flow and frequent events. Traditional methods struggle to quickly and effectively adjust train schedules. This is mainly reflected in the following aspects: Existing scheduling systems are based on static rules and preset timetables, unable to dynamically adjust to cope with sudden fluctuations in passenger flow. When passenger flow unexpectedly increases or decreases, the system cannot automatically adjust based on real-time data; during peak passenger flow periods or special circumstances, dispatchers still require substantial manual intervention to adjust train schedules. Such adjustments are not only inefficient but also prone to human error; most existing scheduling systems rely heavily on static data based on timetables and rules, lacking rapid response to real-time passenger flow and operational data, resulting in slow scheduling adjustments; and most existing systems lack sufficient intelligence, particularly in their ability to predict passenger flow and demand and handle automated train additions.

[0026] Figure 1 This is one of the flowcharts illustrating the dynamic vehicle addition adjustment method provided by the present invention, such as... Figure 1 As shown, the method includes the following: Step 101: Obtain the relevant information of the vehicle to be added, input by the user.

[0027] Specifically, existing dispatching systems are based on static rules and preset timetables, which cannot be dynamically adjusted to cope with sudden fluctuations in passenger flow and lack sufficient intelligence, especially in the ability to predict passenger flow and demand and to automatically add vehicles.

[0028] To address the aforementioned issues, this embodiment first obtains the relevant information of the vehicles to be added, input by the user. In other words, this embodiment allows dispatchers or operations personnel to manually input vehicle addition requests based on actual operational conditions, enabling user-defined vehicle addition tasks and ensuring effective adjustments to train schedules during periods of high passenger demand.

[0029] Step 102: Adjust the train timetable based on the relevant information of the vehicles to be added.

[0030] Specifically, after obtaining the relevant information of the vehicles to be added from the user input, the train timetable and train schedule can be dynamically adjusted based on this input, such as adding trains and optimizing train schedules, to ensure that the scheduling plan meets the user's needs.

[0031] The method described above improves passenger experience by dynamically adjusting train timetables and train schedules by obtaining the additional train requests manually input by dispatchers or operators based on actual operational conditions. Especially during peak hours, it effectively reduces passenger waiting time and alleviates congestion.

[0032] In some embodiments, the relevant information of the vehicle to be added includes at least one of the following: The departure time, starting station, ending station, departure interval, and turnaround station of the vehicles to be added.

[0033] Specifically, in this embodiment, the information on the vehicles to be added input by the user includes, but is not limited to, the specific time period or time point for adding vehicles, the starting and ending stations involved in adding vehicles, the adjustment of departure intervals, the arrangement of turnaround stations, and the number of vehicles to be added.

[0034] In other words, by specifying key information such as the departure time, starting station, ending station, departure interval, and turnaround station of the vehicles to be added, users provide accurate and necessary basic parameters for dynamic vehicle addition adjustments. This enables the system to effectively verify the vehicle addition plan based on this information, ensuring that the plan meets actual operating conditions and resource constraints.

[0035] Meanwhile, this information enables users to customize additional train tasks based on actual operational needs (such as peak passenger flow periods, specific route requirements, etc.), accurately match scheduling scenarios, and improve the flexibility and targeting of additional train adjustments. In addition, clear parameters allow the system to optimize train timetables accordingly, ensuring that the adjusted scheduling plan meets passenger flow demands and can be executed efficiently, reducing errors caused by human intervention due to ambiguous information and improving scheduling efficiency.

[0036] Optionally, users can also input other key information for adding vehicles according to actual needs; no specific restrictions are imposed in this embodiment.

[0037] The method described above allows dispatchers or operators to customize additional vehicle tasks based on actual operational conditions, such as passenger flow fluctuations and sudden demands. This breaks the limitations of traditional dispatching that relies on fixed timetables and static rules, enabling adjustments to additional vehicles to accurately match real-time operational scenarios and meet diverse dispatching needs.

[0038] In some embodiments, before adjusting the train timetable based on relevant information about the vehicles to be added, the method further includes: According to the preset vehicle addition strategy, the relevant information of the vehicles to be added is verified.

[0039] Specifically, in this embodiment, the compliance and feasibility of the vehicle addition plan can be ensured by validating the user-input vehicle addition data. For example, it can verify whether the vehicle addition time conforms to the vehicle addition strategy or standard, whether it is reachable, and whether conflicts will occur, among other things. If all input parameters meet the actual needs and resource conditions, the system will adjust the vehicle addition based on these conditions, optimize the vehicle schedule, and ensure that the scheduling plan meets the user's needs.

[0040] It should be noted that, based on the preset train addition strategy, the relevant information of the vehicles to be added is verified. This allows for the pre-screening of train addition information that does not comply with operational rules, resource conditions, or safety requirements, ensuring that the subsequent train timetable adjustments based on valid information are practically feasible and avoiding scheduling chaos or safety hazards caused by unreasonable information. Moreover, the verification mechanism based on the preset strategy ensures that train addition adjustments follow unified operational standards (such as minimum departure intervals, route accessibility rules, etc.), avoiding the subjectivity and arbitrariness of manual judgment, ensuring the standardization and consistency of the scheduling process, and improving the reliability of the system scheduling.

[0041] The method described in the above embodiments verifies the relevant information of the vehicles to be added based on a preset train addition strategy. This intercepts invalid or conflicting train addition requests before adjusting the timetable, preventing the system from making futile timetable adjustments based on erroneous information. It also reduces the need for manual rework due to unfeasible solutions, lowers scheduling costs, and improves overall process efficiency. Furthermore, the verified valid information provides a reliable basis for subsequent train timetable adjustments, ensuring that the adjusted timetable not only meets train addition requests but also efficiently adapts to existing operational plans, guaranteeing the coordination and optimization of the overall scheduling scheme.

[0042] In some embodiments, the relevant information of the vehicles to be added is verified according to a preset vehicle addition strategy, including at least one of the following: Determine whether the departure time interval between the vehicles to be added and the currently operating vehicles is greater than a preset value; Determine if the operating route between the starting station and the terminal station of the vehicle to be added exists; Determine whether the operating routes of the vehicles to be added conflict with the operating routes of the currently operating vehicles.

[0043] Specifically, in the process of verifying the relevant information of the vehicles to be added in this embodiment, it is necessary to determine whether the time interval between the input time and the time interval between the preceding and following vehicles meets the minimum departure interval. If it does not meet the minimum interval, the addition of vehicles will fail, thus avoiding operational chaos or safety hazards caused by excessively frequent departures, ensuring that the train operation interval complies with safety regulations and operational standards, and guaranteeing departure order and safety.

[0044] Optionally, if the time interval meets the minimum departure interval, the system continues to determine whether the route from the origin station to the destination station and the turnaround station exists; if not, the additional train service fails. In other words, by verifying the "physical path accessibility" of the additional train service in advance, the system avoids situations where the additional train service request cannot be implemented due to the non-existence of the route, thus ensuring the feasibility of the additional train service plan in actual operation from a fundamental level.

[0045] Optionally, if the route exists, the initial addition of trains is completed, and the system continues to determine whether the added train conflicts with existing trains, i.e., whether the operating lines on the timetable intersect. If there is an intersection, the addition of trains fails. In other words, by determining whether the operating lines of the trains to be added conflict with the operating lines of currently operating trains, conflicts such as line intersections and occupancy are identified in advance. This prevents interference between new and existing trains during operation, ensures the coordination of the overall scheduling plan, reduces ineffective adjustments or operational accidents caused by conflicts, improves scheduling efficiency, and avoids operational conflicts and resource waste.

[0046] The method described above verifies the relevant information of the vehicles to be added from three core dimensions: time interval, route basis, and route conflict. This enables precise control over the rationality and feasibility of the vehicle addition plan, effectively filters out vehicle addition needs that meet actual operating conditions, reduces subsequent adjustment costs caused by unreasonable parameters, and enhances the reliability and efficiency of dynamic vehicle addition adjustment.

[0047] In some embodiments, the dynamic vehicle addition adjustment method further includes: Obtain monitoring information; the monitoring information includes at least one of the following: passenger flow data, weather information, and event information; Input the monitoring information into the train adjustment model and output the adjusted train timetable.

[0048] Specifically, in this embodiment, a large-scale model can also be used to automatically generate additional train plans. By collecting information from multiple data sources in real time, including station passenger flow data, train arrival data, weather conditions, and special events, and inputting this real-time data into a large-scale train adjustment model (such as a deep neural network or reinforcement learning model) for analysis, the model automatically determines whether additional trains are needed based on historical data, real-time changes, and prediction results, and determines specific plans for adding trains, such as increasing the number of trains or adjusting departure intervals.

[0049] It should be noted that this application, by acquiring multi-dimensional monitoring information such as passenger flow data, weather information, and event information, enables the system to comprehensively perceive changes in the real-time operating environment, such as passenger surges, severe weather impacts, and sudden public events. This breaks the limitations of traditional reliance on static timetables, providing comprehensive data support for dynamic adjustments and ensuring that scheduling schemes can quickly adapt to actual operational needs, achieving dynamic adaptability and real-time response in scheduling. Furthermore, by inputting monitoring information into the train adjustment model, the model automatically outputs adjusted timetables through analysis and processing of real-time data, reducing reliance on manual judgment and realizing a shift from "passive response" to "proactive prediction and adjustment." This improves the efficiency and scientific nature of scheduling decisions, effectively enhancing the intelligence and automation level of scheduling.

[0050] The method described in the above embodiments, through the combination of multi-dimensional real-time monitoring and intelligent model analysis, realizes dynamic, intelligent and precise train scheduling, effectively solves the problems of slow response and reliance on manual labor in traditional scheduling, and improves overall operational efficiency and adaptability.

[0051] In some embodiments, the dynamic vehicle addition adjustment method further includes: The adjusted train timetable will be displayed graphically.

[0052] Specifically, the adjusted train timetable in this application will be automatically updated by the system, and a graphical interface will be provided to display the scheduling diagram after the addition of trains, facilitating user review and final confirmation of the adjustment plan. In this process, the graphical display not only helps dispatchers or operations personnel to intuitively view the adjustment results, but also allows for further verification and optimization, thereby ensuring the efficiency and rationality of the scheduling plan, and ensuring that the train addition adjustment plan can be efficiently implemented in actual operation.

[0053] It should be noted that by displaying the adjusted train timetable graphically, dispatchers or operations personnel can intuitively and clearly view the train schedules, routes, and other dispatching information after the addition of extra trains. This reduces the cost of interpreting complex text or data tables, facilitates quick understanding of the adjustment results, and improves the intuitiveness and comprehensibility of the dispatching plan. Furthermore, the graphical display provides users with a visual verification tool, allowing dispatchers to easily review the adjusted timetable, intuitively identify potential omissions or unreasonable aspects, ensure that the plan meets actual operational needs, and facilitate the review and confirmation of the plan.

[0054] The methods described in the above embodiments, whether using user-generated adjustment plans with manually entered parameters or system-generated train addition plans, provide a clear and transparent graphical display of the scheduling results. This facilitates monitoring and management by operations personnel, ensuring the efficient execution of the adjusted timetable in actual operations and enhancing the transparency and controllability of the scheduling process. Furthermore, the graphical display allows dispatchers to more easily conduct secondary verification of the adjustment plans. By intuitively observing details such as train distribution and intervals, they can promptly identify and correct potential problems, improving the rationality and feasibility of the scheduling plans. In summary, the graphical display enhances the intuitiveness and operability of information, assisting users in completing plan review, verification, and optimization, reducing errors from manual judgment, and enhancing the reliability and efficiency of the dynamic train addition adjustment process.

[0055] For example, such as Figure 2 As shown in the embodiment of this application, a dynamic vehicle addition adjustment method is provided, the specific process of which is as follows: (1) Real-time observation of the operation diagram on the user login interface.

[0056] (2) Detect whether a user has entered parameters for adding trains.

[0057] (3) The user input parameters for additional trains were detected: time, starting station, ending station, turnaround station and number.

[0058] (4) Determine whether the time interval between the input time and the time interval between the preceding and following vehicles meets the minimum departure interval. If not, adding a vehicle fails.

[0059] (5) If the time interval meets the minimum departure interval, determine whether the route from the starting station to the terminal station and the turnaround station exists; if not, adding a train fails.

[0060] (6) If the route exists, the initial addition of trains is completed. Continue to determine whether the added trains conflict with existing trains, that is, whether the operating lines on the timetable intersect. If there is an intersection, the addition of trains fails.

[0061] (7) If the additional train does not conflict with any existing train, the additional train is successful.

[0062] (8) If no user input is detected based on the judgment in step two, a reminder for adding extra trains is generated by monitoring passenger flow data through a large model. If the user agrees to the extra train plan, the extra trains are added. Optionally, the system can collect and monitor multi-dimensional operational data in real time, and generate extra train plans through dynamic planning and optimization algorithms based on real-time passenger flow data and scheduling needs, so as to ensure that train arrangements can be effectively adjusted during periods of high passenger flow demand.

[0063] Optionally, based on the analysis results of the large model, the system can automatically generate a train addition plan and optimize and adjust the existing scheduling diagram. Finally, the system automatically adjusts the operation diagram according to the generated train addition plan, updates the scheduling diagram in real time, and the adjusted train schedule will be reflected in the operation interface in real time for dispatchers to monitor and manage, thereby achieving rapid response and intelligent train addition adjustment.

[0064] The methods described in the above embodiments provide both a manual scheduling scheme with user-inputted additional vehicle parameters and an intelligent scheme for automatic additional vehicle adjustment, effectively meeting different scheduling needs and operating environments. Specifically, through big data analysis and machine learning models, the system can automatically identify additional vehicle demands, reduce manual intervention, and automatically adjust vehicle frequency based on prediction results, improving scheduling efficiency. This is particularly effective during peak passenger flow periods and in unexpected situations, enabling rapid adjustment of vehicle frequency and achieving intelligent and automated additional vehicle scheduling to improve overall operational efficiency.

[0065] The dynamic vehicle addition adjustment device provided by the present invention is described below. The dynamic vehicle addition adjustment device described below can be referred to in correspondence with the dynamic vehicle addition adjustment method described above. The dynamic vehicle addition adjustment device of the embodiments of this application is as follows: Figure 3 As shown, it includes: The acquisition module 310 is used to acquire relevant information about the vehicle to be added, input by the user. The adjustment module 320 is used to adjust the train timetable based on the relevant information of the vehicles to be added.

[0066] Optionally, the relevant information for the vehicles to be added includes at least one of the following: The departure time, starting station, ending station, departure interval, and turnaround station of the vehicles to be added.

[0067] Optionally, the adjustment module 320 is also used for: According to the preset vehicle addition strategy, the relevant information of the vehicles to be added is verified.

[0068] Optionally, the adjustment module 320 is specifically used for: Determine whether the departure time interval between the vehicles to be added and the currently operating vehicles is greater than a preset value; Determine if the operating route between the starting station and the terminal station of the vehicle to be added exists; Determine whether the operating routes of the vehicles to be added conflict with the operating routes of the currently operating vehicles.

[0069] Optionally, the adjustment module 320 is also used for: Obtain monitoring information; the monitoring information includes at least one of the following: passenger flow data, weather information, and event information; Input the monitoring information into the train adjustment model and output the adjusted train timetable.

[0070] Optionally, the adjustment module 320 is also used for: The adjusted train timetable will be displayed graphically.

[0071] Figure 4 A schematic diagram of the physical structure of an electronic device is provided. This electronic device may include a processor 410, a communications interface 420, a memory 430, and a communication bus 440. The processor 410, communications interface 420, and memory 430 communicate with each other via the communication bus 440. The processor 410 can invoke logical instructions stored in the memory 430 to execute a dynamic train addition adjustment method. This method includes: acquiring relevant information about the trains to be added, input by the user; and adjusting the train timetable based on the relevant information about the trains to be added.

[0072] Furthermore, the logical instructions in the aforementioned memory 430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0073] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the dynamic train addition adjustment method provided by the above methods. The method includes: obtaining relevant information of the trains to be added by the user; and adjusting the train timetable according to the relevant information of the trains to be added.

[0074] In another aspect, 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 perform the dynamic train addition adjustment method provided by the above methods, the method comprising: acquiring relevant information of the trains to be added by the user; and adjusting the train timetable based on the relevant information of the trains to be added.

[0075] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0076] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0077] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A dynamic vehicle addition adjustment method, characterized in that, include: Obtain the relevant information of the vehicle to be added, input by the user; Adjust the train timetable based on the relevant information of the vehicles to be added.

2. The dynamic vehicle addition adjustment method according to claim 1, characterized in that, The relevant information for the vehicles to be added includes at least one of the following: The departure time, starting station, ending station, departure interval, and turnaround station of the vehicles to be added.

3. The dynamic vehicle addition adjustment method according to claim 1, characterized in that, Before adjusting the train timetable based on the relevant information of the vehicles to be added, the method further includes: According to the preset vehicle addition strategy, the relevant information of the vehicles to be added is verified.

4. The dynamic vehicle addition adjustment method according to claim 3, characterized in that, The step of verifying the relevant information of the vehicles to be added according to the preset vehicle addition strategy includes at least one of the following: Determine whether the departure time interval between the vehicles to be added and the currently operating vehicles is greater than a preset value; Determine whether the operating route between the starting station and the ending station of the vehicle to be added exists; Determine whether the operating route of the vehicle to be added conflicts with the operating route of the currently operating vehicle.

5. The dynamic vehicle addition adjustment method according to any one of claims 1-4, characterized in that, The method further includes: Acquire monitoring information; the monitoring information includes at least one of the following: passenger flow data, weather information, and event information; The monitoring information is input into the train adjustment model, and the adjusted train timetable is output.

6. The dynamic vehicle addition adjustment method according to claim 5, characterized in that, The method further includes: The adjusted train timetable will be displayed graphically.

7. A dynamic vehicle addition adjustment device, characterized in that, include: The acquisition module is used to acquire relevant information about the vehicles to be added, input by the user. The adjustment module is used to adjust the train timetable based on the relevant information of the vehicles to be added.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the dynamic vehicle adjustment method as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the dynamic vehicle adjustment method as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the dynamic vehicle adjustment method as described in any one of claims 1 to 6.

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