Highway toll station equipment management method, system and equipment and storage medium

Abstract

The invention relates to the technical field of toll station equipment management, in particular to a highway toll station equipment management method and system, equipment and a storage medium. In traditional toll station management, when a large amount of traffic flow suddenly occurs in festivals and holidays, fixed equipment configuration cannot be adjusted in time, and serious congestion is caused; in the off-peak period of the ordinary day, resources are wasted due to the fact that too many lanes are opened; the method comprises the steps of firstly obtaining operation selection information and equipment layout information, and formulating an initial operation strategy; then, continuously monitoring actual traffic data, and triggering an adjustment mechanism when a significant difference occurs between the actual traffic data and the expected traffic data; and finally, adjusting equipment configuration according to the collected condition change information. The change of traffic flow can be quickly responded, and targeted adjustment can be carried out according to specific conditions of different areas, so that the operation efficiency and the service quality of the toll station are remarkably improved.

Description

Technical Field

[0001] The present application relates to the technical field of toll station equipment management, and in particular to a method, system, equipment and storage medium for highway toll station equipment management. Background Art

[0002] With the rapid development of my country's expressway network and the continuous increase in the number of vehicles, expressway toll stations are facing increasingly severe traffic pressure. Especially during holidays and peak hours, toll stations often experience vehicle congestion and low traffic efficiency, which seriously affects the travel experience of road users and the operational efficiency of expressways.

[0003] At present, most highway toll stations use intelligent traffic management systems to optimize traffic efficiency. These systems usually include vehicle detectors, video surveillance, variable message signs and other equipment, which automatically adjust the number of open lanes and the use of ETC equipment by collecting traffic flow data in real time to cope with changes in traffic flow at different times.

[0004] However, the existing intelligent traffic management system mainly relies on preset fixed algorithms and thresholds for adjustment, which lacks flexibility and pertinence. This results in the system being unable to respond effectively in a timely manner when faced with emergencies or complex changes, making it difficult to achieve the optimal configuration and utilization of toll station equipment, thus affecting traffic efficiency. This situation needs to be further improved. Summary of the invention

[0005] In order to solve the problems of insufficient flexibility and slow response speed of the existing intelligent traffic management system, the present application provides a method, system, device and storage medium for managing equipment at a highway toll station, adopting the following technical solutions: In a first aspect, the present application provides a method for managing equipment at a highway toll station, comprising the following steps: Acquire operation selection information, and acquire overall operation parameter information according to the operation selection information, wherein the operation selection information includes expected traffic volume and peak hours, and the overall operation parameter information includes expected maximum traffic capacity, average traffic time, number of equipment turned on, and operation duration; Acquire equipment layout information, and acquire equipment operation strategy according to the equipment layout information and the overall operation parameter information, wherein the toll station equipment is distributed in several areas, and the equipment operation strategy includes the number of open lanes and the number of ETC equipment enabled in each area, and the equipment layout information refers to the distribution of various types of equipment in the toll station; triggering a device operation instruction according to the device operation strategy and the overall operation parameter information; Acquire regional traffic data information, compare the regional traffic data information with the corresponding expected value in the overall operation parameter information to obtain a regional difference value, compare the regional difference value with a preset change threshold value, and if the regional difference value is outside the preset change threshold range, trigger a regional traffic status change information collection instruction; Acquiring adjustment parameter information according to the regional traffic condition change information collection instruction; An adjustment instruction is triggered according to the adjustment parameter information.

[0006] By adopting the above technical solution, in the traditional toll station management, when a large number of vehicles suddenly flow during holidays, the fixed equipment configuration often cannot be adjusted in time, resulting in serious congestion; and during non-peak hours on weekdays, too many lanes open cause waste of resources; this application first obtains operation selection information and equipment layout information, and formulates an initial operation strategy; then continuously monitors actual traffic data, and when there is a significant difference from expectations, triggers an adjustment mechanism; finally, adjusts the equipment configuration based on the collected status change information; it can not only quickly respond to changes in traffic flow, but also make targeted adjustments based on the specific conditions of different areas, thereby significantly improving the operating efficiency and service quality of toll stations.

[0007] Optionally, the obtaining of the operation selection information, and obtaining overall operation parameter information according to the operation selection information, specifically comprises the following steps: Extracting the expected traffic flow from the operation selection information, and using the expected traffic flow as the expected maximum traffic capacity; According to the expected traffic volume and the peak period, the average travel time, the number of equipment turned on and the operating time are obtained; The expected maximum traffic capacity, average traffic time, number of equipment turned on and operation time are associated to obtain the overall operation parameter information.

[0008] By adopting the above technical solutions, traditional toll station management often relies solely on empirical estimates or simple historical data to formulate operating strategies. In actual operations, unreasonable equipment configuration and mismatch between capacity and actual demand often occur. This application first takes the expected traffic flow directly as the expected maximum capacity to ensure that the operating goals are directly linked to actual demand; then, based on the expected traffic flow and peak period information, the average travel time, the required number of equipment to be turned on, and the operating time are derived; finally, these key parameters are correlated and integrated to form comprehensive overall operating parameter information, which can more accurately predict and meet actual operating needs.

[0009] Optionally, the number of equipment opened includes the number of conventional lanes opened and the number of ETC lanes opened, and the operation time includes the peak operation time and the non-peak operation time. The step of obtaining the average travel time, the number of equipment turned on, and the operating time according to the expected traffic volume and the peak period specifically includes the following steps: According to the expected traffic volume and the peak period, the number of open conventional lanes, the number of open ETC lanes, the peak period operation time and the non-peak period operation time are obtained; The average travel time is obtained according to the peak operation time and the non-peak operation time.

[0010] By adopting the above technical solutions, traditional toll station management often adopts an extensive configuration method, which fails to fully consider the differences between conventional lanes and ETC lanes, as well as the differences in operating needs during peak and non-peak periods, resulting in unreasonable resource allocation and affecting traffic efficiency; this application first calculates the number of conventional lanes and ETC lanes opened, as well as the operating hours during peak and non-peak periods based on the expected traffic flow and peak period information; then uses the operating time data during peak and non-peak periods to derive a more accurate average travel time; not only does it consider the characteristics of different types of lanes, but it also distinguishes between peak and non-peak operating needs, so that resources can be allocated more flexibly and accurately, thereby improving overall operational efficiency.

[0011] Optionally, the equipment operation strategy includes a peak equipment operation strategy and a non-peak equipment operation strategy, and the acquiring of equipment layout information, based on the equipment layout information and the overall operation parameter information, acquires the equipment operation strategy, specifically comprising the following steps: According to the expected maximum traffic capacity and the equipment layout information, obtaining the peak equipment operation strategy and the non-peak equipment operation strategy; According to the average travel time and the equipment layout information, the number of open lanes and the number of activated ETC equipment in each area are obtained.

[0012] By adopting the above technical solutions, traditional toll station management often adopts a unified equipment configuration strategy, which cannot effectively respond to the differentiated needs during peak and non-peak periods, and is difficult to make fine adjustments according to the characteristics of different regions, resulting in congestion in some areas while equipment in other areas is idle; this application first formulates equipment operation strategies for peak and non-peak periods based on the expected maximum traffic capacity and equipment layout information, so as to achieve differentiated management of time periods; secondly, based on the average travel time and equipment layout information, the number of lanes that need to be opened and the number of ETC devices to be enabled in each area are calculated to achieve fine regional configuration; not only can the overall operation strategy be flexibly adjusted according to the traffic needs of different time periods, but also accurate equipment configuration can be carried out according to the characteristics of each specific area, thereby improving the overall operation efficiency and service quality of the toll station.

[0013] Optionally, the acquiring of adjustment parameter information according to the regional traffic condition change information collection instruction specifically includes the following steps: Acquiring regional traffic condition change information according to the regional traffic condition change information collection instruction; Acquiring traffic condition change completion information, and triggering a vehicle flow re-detection instruction according to the traffic condition change completion information; Obtaining vehicle flow re-detection result information, and obtaining current operation status information based on the vehicle flow re-detection result information and the regional traffic condition change information, wherein the vehicle flow re-detection result information refers to real-time vehicle flow; According to the current operation status information and the overall operation parameter information, adjustment parameter information is obtained.

[0014] By adopting the above technical solution, the traditional toll station management system finds it difficult to quickly and accurately evaluate the actual situation and make corresponding adjustments when encountering sudden changes in traffic conditions caused by emergencies (such as traffic accidents or weather changes); the present application first obtains information on changes in regional traffic conditions; then, immediately triggers traffic flow re-detection after the change; then, combines the change information with real-time traffic flow to evaluate the current operating status; finally, compares the current status with the overall operating parameters to generate adjustment parameters; can quickly respond to sudden changes, and through real-time data collection and multi-dimensional analysis, realize accurate dynamic adjustment of toll station equipment configuration.

[0015] Optionally, triggering an adjustment instruction according to the adjustment parameter information specifically includes: According to the adjustment parameter information, acquiring regional adjustment parameter information, wherein the regional adjustment parameter information includes specific adjustment requirements of each region; Generate multi-level adjustment plans based on the specific adjustment needs of each region; Evaluate the expected effects of each level of the multi-level adjustment plan, and determine an adjustment plan that is appropriate for the current situation based on the expected effects; Generate an adjustment instruction sequence according to the adjustment plan corresponding to the current situation, and trigger the execution of the adjustment instruction according to the adjustment instruction sequence; The optimization degree of the adjustment instruction sequence is obtained, and if the optimization degree is less than a preset optimization effect threshold, the next level adjustment plan is automatically triggered.

[0016] By adopting the above technical solutions, traditional toll station management systems often adopt a single fixed solution when executing adjustments, and are unable to dynamically optimize according to the specific needs and actual effects of different regions, resulting in frequent poor adjustment effects or over-adjustments. The present application first generates a multi-level adjustment solution based on regional adjustment parameter information; then evaluates the expected effects of each level of solutions and selects the most suitable solution, converts the selected solution into a specific adjustment instruction sequence and executes it; finally, evaluates the adjustment effect in real time, and automatically triggers the next level of solution if it does not meet expectations. It can provide customized adjustment strategies based on the characteristics of different regions, and at the same time ensure the accuracy and effectiveness of the adjustment measures through real-time effect evaluation and automatic optimization.

[0017] In a second aspect, the present application provides a highway toll station equipment management system, including: An overall operation parameter information acquisition module is used to acquire operation selection information, and acquire overall operation parameter information according to the operation selection information, wherein the operation selection information includes expected traffic flow and peak hours, and the overall operation parameter information includes expected maximum traffic capacity, average traffic time, number of equipment turned on, and operation time; An equipment operation strategy acquisition module is used to acquire equipment layout information, and acquire equipment operation strategies according to the equipment layout information and the overall operation parameter information, wherein the toll station equipment is distributed in several areas, and the equipment operation strategies include the number of open lanes and the number of ETC equipment enabled in each area, and the equipment layout information refers to the distribution of various types of equipment in the toll station; An equipment operation instruction triggering module, used to trigger equipment operation instructions according to the equipment operation strategy and the overall operation parameter information; A collection instruction triggering module is used to obtain regional traffic data information, compare the regional traffic data information with the corresponding expected value in the overall operation parameter information, obtain a regional difference value, compare the regional difference value with a preset change threshold value, and if the regional difference value is outside the preset change threshold range, trigger a regional traffic status change information collection instruction; An adjustment parameter information acquisition module is used to acquire adjustment parameter information according to the information collection instruction of the traffic condition change in the area; The adjustment instruction triggering module is used to trigger the adjustment instruction according to the adjustment parameter information.

[0018] Optionally, the overall operation parameter information acquisition module specifically includes: An expected traffic flow extraction unit, configured to extract the expected traffic flow from the operation selection information and use the expected traffic flow as the expected maximum traffic capacity; A partial operation parameter information acquisition unit, used to acquire average travel time, number of equipment turned on and operation time according to the expected traffic volume and the peak period; The overall operation parameter information acquisition unit is used to associate the expected maximum traffic capacity, average traffic time, number of equipment turned on and operation time to obtain the overall operation parameter information.

[0019] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned highway toll station equipment management method when executing the computer program.

[0020] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned highway toll station equipment management method are implemented.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: 1. In traditional toll station management, when a large number of vehicles suddenly flow during holidays, the fixed equipment configuration often cannot be adjusted in time, resulting in serious congestion; and during non-peak hours on weekdays, too many lanes open cause a waste of resources; this application first obtains operation selection information and equipment layout information, and formulates an initial operation strategy; then continuously monitors actual traffic data, and when there is a significant difference from expectations, triggers an adjustment mechanism; finally, adjusts the equipment configuration based on the collected status change information; it can not only quickly respond to changes in traffic flow, but also make targeted adjustments based on the specific conditions of different regions, thereby significantly improving the operating efficiency and service quality of toll stations; 2. Traditional toll station management often adopts an extensive configuration method, which fails to fully consider the differences between conventional lanes and ETC lanes, as well as the differences in operating demands during peak and non-peak periods, resulting in irrational resource allocation and affecting traffic efficiency. This application first calculates the number of conventional lanes and ETC lanes opened, as well as the operating hours during peak and non-peak periods based on the expected traffic flow and peak period information; then uses the operating hours data during peak and non-peak periods to derive a more accurate average travel time; not only does it consider the characteristics of different types of lanes, but it also distinguishes between peak and non-peak operating demands, so that resources can be allocated more flexibly and accurately, improving overall operational efficiency; 3. When the traffic conditions change drastically due to emergencies (such as traffic accidents or weather changes), traditional toll station management systems find it difficult to quickly and accurately assess the actual situation and make corresponding adjustments. This application first obtains information on changes in regional traffic conditions; then, immediately triggers traffic flow re-detection after the change ends; then, combines the change information with real-time traffic flow to assess the current operating status; finally, compares the current status with the overall operating parameters to generate adjustment parameters; and is able to quickly respond to sudden changes, and achieve accurate dynamic adjustment of toll station equipment configurations through real-time data collection and multi-dimensional analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flowchart of a method for managing equipment at a highway toll station according to an embodiment of the present application; Figure 2 It is a flowchart of step S10 in a method for managing equipment at a highway toll station according to an embodiment of the present application; Figure 3 It is a flowchart of step S12 in a method for managing equipment at a highway toll station according to an embodiment of the present application; Figure 4 It is a flowchart of step S20 in a method for managing equipment at a highway toll station according to an embodiment of the present application; Figure 5 It is a flowchart of step S50 in a method for managing equipment at a highway toll station according to an embodiment of the present application; Figure 6 It is a flowchart of step S60 in a method for managing equipment at a highway toll station according to an embodiment of the present application; Figure 7 It is a module diagram of a highway toll station equipment management system according to an embodiment of the present application; Figure 8 It is a diagram of the internal structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more listed items.

[0024] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "multiple" means two or more.

[0025] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0026] In the first aspect, the present application provides a method for managing equipment at a highway toll station, referring to Figure 1 , including the following steps: S10. Obtain operation selection information, and obtain overall operation parameter information based on the operation selection information, wherein the operation selection information includes expected traffic volume and peak hours, and the overall operation parameter information includes expected maximum traffic capacity, average travel time, number of equipment turned on, and operation duration.

[0027] In this embodiment, the operation selection information refers to the operation plan information formulated by the toll station management personnel based on historical data and predictive analysis. The overall operation parameter information refers to the overall operation status information of the toll station. The expected traffic volume refers to the number of vehicles that the management personnel expect to pass through the toll station. The peak period refers to the time period when the traffic volume increases significantly. The expected maximum traffic capacity refers to the maximum traffic volume that the toll station can handle under the current configuration. The average travel time refers to the average time it takes for a vehicle to pass through the toll station. The number of equipment enabled refers to the number of toll devices that need to be enabled. The operating time refers to the operating time of the toll station in each period.

[0028] Specifically, managers set operation information, i.e., operation selection information, including expected traffic volume and peak hours, based on historical data, weather forecasts, and holiday schedules. For example, managers expect the traffic volume on a certain weekday to be 50,000 vehicles, with the morning peak hours from 7:00 to 9:00 and the evening peak hours from 17:00 to 19:00. Based on this information, combined with preset algorithms and parameters, the system calculates the overall operation parameter information. The expected maximum capacity may be set to 60,000 vehicles / day to reserve a certain margin. The average travel time may be 20 seconds during regular hours and may be extended to 35 seconds during peak hours. The system may recommend opening 6 toll lanes (including 4 ETC lanes and 2 mixed lanes) during peak hours and 4 lanes (including 3 ETC lanes and 1 mixed lane) during non-peak hours. The operation time is set according to the peak hours, such as 24 hours of operation on weekdays, of which 4 hours are peak hours. In this way, the system generates overall operating parameter information including expected maximum capacity, average travel time, number of equipment turned on and operating hours to ensure that the toll station can efficiently respond to expected traffic conditions.

[0029] S20. Obtain equipment layout information, and obtain equipment operation strategy based on the equipment layout information and overall operation parameter information. Toll station equipment is distributed in several areas, and the equipment operation strategy includes the number of open lanes and the number of ETC equipment enabled in each area. Equipment layout information refers to the distribution of various types of equipment in the toll station.

[0030] In this embodiment, the equipment layout information refers to the specific distribution of various types of equipment in the toll station. The equipment operation strategy refers to the specific working parameters of the equipment in each area of ​​the toll station. The number of open lanes refers to the number of toll lanes enabled in each area. The number of ETC equipment enabled refers to the number of electronic non-stop toll collection devices enabled in each area.

[0031] Specifically, the toll station used by the highway toll station equipment management method provided in this embodiment is usually divided into several functional areas, including an entrance area and an exit area. The entrance area and the exit area may be further subdivided into a main entrance, a secondary entrance, and an auxiliary entrance, etc., for distinguishing vehicles of different types and flows, such as the main entrance / exit area that handles the largest traffic flow, usually connected to a trunk road or a main road. The secondary entrance / exit handles medium traffic flow and may be connected to a secondary road or a local road. The auxiliary entrance / exit handles a smaller traffic flow and may be used for special purposes or connected to a local road. Each area is equipped with a separate traffic flow monitoring device and control system, and each control system is responsible for managing the toll equipment and lanes in the corresponding area. The toll station is also equipped with a monitoring system for monitoring the overall traffic flow, and a smart camera that can detect congestion in each area. The manager formulates an equipment operation strategy based on the overall operation parameter information obtained in step S10 and the equipment layout information stored in the system. For example, it is assumed that the toll station has a total of 10 lanes, 6 of which are in the exit area and 4 in the entrance area. On weekdays with an expected traffic volume of 20,000 vehicles per day, the system may recommend opening 5 lanes (including 3 ETC lanes and 2 mixed lanes) in the exit area and 3 lanes (including 2 ETC lanes and 1 mixed lane) in the entrance area during peak hours (such as 7:00-9:00 in the morning and 17:00-19:00 in the evening); and opening 3 lanes (2 ETC lanes and 1 mixed lane) in the exit area and 2 lanes (1 ETC and 1 mixed lane) in the entrance area during non-peak hours. In this way, the system generates an equipment operation strategy including the number of open lanes and the number of ETC equipment enabled in each area based on the equipment layout information and overall operation parameter information, so as to ensure that the toll station can flexibly adjust according to the traffic conditions at different time periods and improve traffic efficiency.

[0032] S30. Triggering equipment operation instructions according to equipment operation strategies and overall operation parameter information.

[0033] In this embodiment, the equipment operation instruction refers to the control information for each equipment in the toll station to start operating according to the established strategy.

[0034] Specifically, after obtaining the equipment operation strategy in each area, the system triggers the equipment operation instruction and controls each device in the toll station to start working according to the corresponding operation strategy. For example, the system will send instructions to the control system in each area to instruct the opening of a specific number of lanes and the activation of a corresponding number of ETC devices. At the same time, the system will also adjust the working mode of related equipment according to the overall operation parameter information, such as adjusting the display information, changing the timing of traffic lights, etc.

[0035] S40. Obtain regional traffic data information, compare the regional traffic data information with the corresponding expected value in the overall operation parameter information, obtain the regional difference value, compare the regional difference value with the preset change threshold, and if the regional difference value is outside the preset change threshold range, trigger the regional traffic status change information collection instruction.

[0036] In this embodiment, the regional traffic data information refers to the actual traffic volume and travel time information detected by the traffic flow monitoring equipment in each area. The regional difference value refers to the difference between the actual traffic data of the area and the corresponding expected value in the overall operation parameter information. The regional traffic status change information collection instruction refers to the instruction information that controls the traffic flow monitoring equipment, smart cameras and other related equipment in the toll station to start in-depth detection and collect detailed data.

[0037] Specifically, during the operation of the toll station, the traffic flow monitoring equipment in each area continuously detects the actual traffic flow and travel time to obtain regional traffic data information. The system compares these actual data with the corresponding expected values ​​in the overall operation parameter information to calculate the regional difference value. Subsequently, the system compares the difference value with the preset change threshold. According to the comparison results, if the regional difference value is within the preset change threshold range, each device continues to operate according to the established device operation strategy. However, when the regional difference value exceeds the preset change threshold range, the system triggers the regional traffic status change information collection instruction. This instruction will activate all relevant equipment including the traffic flow monitoring equipment, smart cameras, license plate recognition systems, etc. in the area, and start more detailed data collection and analysis. For example, the system may collect more detailed information such as vehicle type distribution, average waiting time, lane utilization rate, etc., to fully understand the specific reasons for the difference, so that the toll station can detect and respond to abnormal situations in a timely manner.

[0038] S50. Collect instructions based on information about changes in regional traffic conditions and obtain adjustment parameter information.

[0039] In this embodiment, the adjustment parameter information refers to the toll station equipment operating parameter information that needs to be adjusted after analysis.

[0040] Specifically, when the traffic conditions detected by the traffic flow monitoring equipment in each area tend to stabilize, the system stops collecting detailed traffic data information. Subsequently, the system comprehensively analyzes the collected data, including actual traffic flow, average travel time, vehicle type distribution and other information. Based on these data, combined with the remaining operating time, the system calculates the operating parameters that need to be adjusted for equipment in each area in order to achieve the original operating goals within the remaining time, that is, the adjustment parameter information. These parameters may include the number of open lanes that need to be increased or decreased, changes in the number of ETC equipment enabled, adjustments to lane allocation plans, etc. For example, if the actual traffic flow in a certain exit area is far beyond expectations, the system may recommend increasing the number of open lanes in the area, or adjusting some entrance lanes to be used as exit lanes.

[0041] S60: triggering an adjustment instruction according to the adjustment parameter information.

[0042] Specifically, after obtaining the adjustment parameter information, the system triggers the adjustment instruction. Based on the data in the adjustment parameter information, the system sends specific adjustment instructions to relevant equipment and personnel. For example, the system may instruct certain areas to increase the number of open lanes, enable additional ETC equipment, or adjust the direction of lane use. At the same time, the system will update the information on traffic signs and information display screens to guide vehicles to divert reasonably. For adjustments that require manual intervention, such as adding manual toll windows, the system will send notifications to managers. In addition, adjustment instructions may also include changing the timing plan of traffic lights to adapt to new traffic conditions.

[0043] In one embodiment, referring to Figure 2 In step S10, the operation selection information is obtained, and the overall operation parameter information is obtained according to the operation selection information, which specifically includes the following steps: S11. Extract the expected traffic flow from the operation selection information, and use the expected traffic flow as the expected maximum traffic capacity.

[0044] Specifically, the manager's goal is to enable the toll station to meet the expected traffic demand. Therefore, the expected traffic volume is extracted from the operation selection information set by the manager, and the expected traffic volume is used as the expected maximum traffic capacity that the toll station needs to achieve during operation. For example, if the manager expects the traffic volume on a certain day to be 20,000 vehicles, the system will set 20,000 vehicles / day as the expected maximum traffic capacity for that day, or retain a certain redundancy and set 22,000 vehicles / day as the expected maximum traffic capacity for that day.

[0045] S12. Based on the expected traffic volume and peak hours, obtain the average travel time, number of equipment turned on and operating hours.

[0046] Specifically, the goal of managers is to enable toll stations to operate efficiently under expected traffic volume and to adapt to traffic pressure during peak hours. Therefore, the system needs to calculate specific operating parameters that can meet these needs based on expected traffic volume and peak hour information. After determining the expected maximum capacity, the system estimates the average travel time based on the expected traffic volume and peak hour distribution. For example, during off-peak hours, the system may set the average travel time to 20 seconds per vehicle, while during peak hours, considering the increase in traffic volume, the average travel time may be adjusted to 30 seconds per vehicle. Secondly, the system calculates the number of equipment openings required. For example, if the expected traffic volume is 20,000 vehicles / day, six toll lanes (including four ETC lanes and two mixed lanes) may need to be opened during peak hours, while only four lanes (three ETC lanes and one mixed lane) may need to be opened during off-peak hours. Finally, the system determines the operating hours of each lane. Normally, the operating hours of the entire toll station will cover 24 hours a day, but the system will specially mark the time periods during peak hours, such as the morning peak period of 7:00-9:00 and the evening peak period of 17:00-19:00, so as to adopt special operating strategies during these periods.

[0047] S13. Correlate the expected maximum traffic capacity, average traffic time, number of equipment turned on, and operation time to obtain overall operation parameter information.

[0048] Specifically, the system links key parameters such as expected maximum capacity, average travel time, number of devices turned on and operating hours to form overall operating parameter information, which includes comprehensive information such as traffic flow, time and equipment configuration of the toll station during the entire operation process, providing comprehensive guidance for the efficient operation of the toll station.

[0049] In actual operation, various monitoring devices at toll stations will determine whether the current operation status is normal based on the overall operation parameter information. For example: Traffic flow monitoring: The system will set the expected traffic flow at different times based on the expected maximum traffic capacity. If the actual traffic flow is significantly different from the expected, the system will issue an alarm, indicating that the operation strategy may need to be adjusted. Travel time monitoring: Based on the set average travel time, the system will continuously monitor the actual vehicle travel time. If the actual travel time in a certain period of time is significantly longer than expected, it may mean that additional lanes need to be opened or the ETC equipment configuration needs to be adjusted. Equipment usage: The system will monitor the usage of each lane and equipment based on the equipment opening number parameter. If it is found that some lanes are idle for a long time and other lanes are seriously congested, the system will recommend adjusting the lane allocation. Operation period management: Based on the set operation time and peak period information, the system will automatically adjust the operation mode at different times. For example, before entering the peak period, the system will increase the number of open lanes in advance to cope with the upcoming traffic peak.

[0050] In one embodiment, the number of equipment openings includes the number of regular lane openings and the number of ETC lane openings, and the operating hours include the peak operating hours and the off-peak operating hours. Figure 3 In step S12, according to the expected traffic volume and peak hours, the average travel time, the number of equipment turned on and the operating time are obtained, which specifically includes the following steps: S121. According to the expected traffic volume and peak hours, obtain the number of open conventional lanes, the number of open ETC lanes, the operating hours during peak hours, and the operating hours during non-peak hours.

[0051] In this embodiment, the number of conventional lanes opened refers to the number of manual or mixed toll lanes that need to be opened. The number of ETC lanes opened refers to the number of electronic non-stop toll lanes that need to be opened. Peak operation time refers to the duration of the period when the traffic volume is expected to be large. Non-peak operation time refers to other operation time except peak time.

[0052] Specifically, the system calculates the lane configuration and operating hours required for different periods based on the expected traffic flow and peak period information. The number of conventional lanes opened: During peak periods, the system recommends opening more conventional lanes to cope with the possible increase in cash payment and mixed payment needs. For example, if the expected peak traffic volume is 3,000 vehicles per hour, the system may recommend opening 4 conventional lanes. During non-peak periods, only 2 conventional lanes may be needed. The number of ETC lanes opened: Considering the efficiency of ETC lanes, the system will give priority to configuring ETC lanes. During peak periods, if 80% of the expected traffic volume uses ETC, the system may recommend opening 6 ETC lanes. This may be reduced to 4 during non-peak periods.

[0053] S122. Obtain average travel time based on peak-period operating hours and off-peak-period operating hours.

[0054] Specifically, the system calculates the overall average travel time based on the peak operating hours and off-peak operating hours, combined with the expected traffic flow. First, the system sets target average travel times for peak and off-peak periods respectively. For example, the peak target is 40 seconds / vehicle, and the off-peak target is 25 seconds / vehicle. Then, based on the expected traffic flow distribution during peak and off-peak periods, the weighted average travel time is calculated. Assuming that 60% of vehicles are expected to pass during peak hours and 40% of vehicles during off-peak hours, the average travel time = (40 seconds * 60% + 25 seconds * 40%) = 34 seconds / vehicle. If the actual travel time deviates significantly from this average, the system will prompt managers to adjust the operating strategy, such as adding lanes or adjusting lane allocation.

[0055] In one embodiment, the device operation strategy includes a peak-period device operation strategy and a non-peak-period device operation strategy. Figure 4In step S20, the equipment layout information is obtained, and the equipment operation strategy is obtained according to the equipment layout information and the overall operation parameter information, which specifically includes the following steps: S21. Obtain peak-period equipment operation strategies and off-peak-period equipment operation strategies based on expected maximum traffic capacity and equipment layout information.

[0056] In this embodiment, the peak equipment operation strategy refers to the operation parameters and configuration scheme of the equipment in each area during the peak traffic flow period. The non-peak equipment operation strategy refers to the operation parameters and configuration scheme of the equipment in each area during the period of low traffic flow.

[0057] Specifically, the system first understands the equipment distribution and capacity of each area of ​​the toll station based on the equipment layout information. Then, based on the expected maximum traffic capacity, the system formulates different equipment operation strategies for peak and off-peak periods. The peak equipment operation strategy includes enabling all available ETC lanes to maximize the efficiency of automated toll collection; appropriately increasing the number of open manual toll windows according to the expected traffic ratio; adjusting signal lights and signs to optimize vehicle guidance and reduce congestion; starting the backup power system to ensure stability during high-load operation. The off-peak equipment operation strategy includes reducing the number of open ETC lanes, but maintaining a sufficient number to cope with sudden traffic; reducing the number of open manual toll windows and adopting a shift system; adjusting the lighting system to appropriately reduce energy consumption; and performing equipment maintenance and overhaul to ensure stable operation during peak periods.

[0058] S22. According to the average travel time and equipment layout information, the number of open lanes and the number of ETC equipment activated in each area are obtained.

[0059] In this embodiment, the number of open lanes refers to the total number of lanes that need to be opened in each area. The number of ETC equipment activated refers to the number of ETC equipment that needs to be activated in each area.

[0060] Specifically, the system develops a specific lane opening plan and ETC equipment activation plan for each area based on the average travel time target and equipment layout information; the system first calculates the total number of lanes required to achieve the target average travel time, and then allocates the total number of lanes to each area based on the equipment layout information. The total number of ETC devices required is then calculated based on the expected ETC usage rate and the total number of open lanes. The number of ETC equipment activations is allocated based on the equipment layout and historical ETC usage in each area. Ensure that at least a certain number of manual or hybrid lanes are retained in each area.

[0061] In one embodiment, referring to Figure 5 In step S50, according to the regional traffic condition change information collection instruction, the adjustment parameter information is obtained, which specifically includes the following steps: S51. Acquire regional traffic condition change information according to the regional traffic condition change information collection instruction.

[0062] In this embodiment, the regional traffic condition change information refers to the information of the traffic flow value and detection time detected by the traffic flow detection equipment in each area of ​​the toll station.

[0063] Specifically, after judging that the traffic flow in the toll station has changed significantly based on the traffic flow value detected by the traffic flow detection equipment in the area, the traffic flow detection equipment in the area continues to detect the traffic flow and records the detection duration to obtain the regional traffic condition change information including the traffic flow value obtained by the detection and the detection time.

[0064] Furthermore, after judging that the traffic volume in the toll station has changed significantly based on the traffic volume value detected by the traffic volume detection equipment in the area, the detection frequency of the traffic volume detection equipment in the area is increased to facilitate judging the magnitude of the traffic volume change.

[0065] S52: Obtain traffic condition change completion information, and trigger a vehicle flow re-detection instruction according to the traffic condition change completion information.

[0066] In this embodiment, the traffic condition change end information refers to information that the amplitude of the vehicle flow change is reduced. The vehicle flow re-detection instruction refers to instruction information for controlling the vehicle flow detection device to re-detect the vehicle flow in each area.

[0067] Specifically, based on the traffic flow value detected by the traffic flow detection equipment in the area, when information is obtained that the amplitude of the traffic flow change is reduced, that is, the traffic condition change has ended, the traffic flow detection equipment re-detects the traffic flow in each area when the traffic condition change has ended.

[0068] S53. Obtain the vehicle flow re-detection result information. According to the vehicle flow re-detection result information and in combination with the regional traffic condition change information, obtain the current operation status information. The vehicle flow re-detection result information refers to the real-time vehicle flow.

[0069] In this embodiment, the vehicle flow re-detection result information refers to the vehicle flow information of each area re-detected by the vehicle flow detection device. The current operation status information refers to the overall operation status information of the toll station after the change range of the vehicle flow is reduced.

[0070] Specifically, the traffic flow in each area obtained by re-detection of the traffic flow detection equipment, that is, the traffic flow re-detection result information, is obtained. Based on the traffic flow re-detection result information and the regional traffic condition change information, the current operating status information including the overall traffic flow of the toll station and the specific traffic flow in each area is obtained.

[0071] S54. Obtain adjustment parameter information according to the current operation status information and the overall operation parameter information.

[0072] In this embodiment, the adjustment parameter information refers to the parameter information obtained by adjusting the operation parameters of each area according to the changed information after the traffic volume of the toll station changes.

[0073] Specifically, based on the comparison between the current operating status information and the overall operating parameter information, for example, when the current operating status information is obtained during peak hours, the traffic flow in the current operating status information is compared with the preset traffic flow during the peak hours, and based on the comparison result, the subsequent number of open lanes, ETC lane ratio, number of manual toll windows and other information are re-obtained, and based on the subsequent number of open lanes, ETC lane ratio, number of manual toll windows and other information, combined with the specific traffic flow information of each area in the current operating status information, the operating parameters of each area in the toll station corresponding to the subsequent number of open lanes, ETC lane ratio, number of manual toll windows and other information are adjusted, that is, the parameter information is adjusted.

[0074] In one embodiment, referring to Figure 6 In step S60, the adjustment instruction is triggered according to the adjustment parameter information, specifically including: S61. Obtain regional adjustment parameter information according to the adjustment parameter information, wherein the regional adjustment parameter information includes specific adjustment requirements of each region.

[0075] In this embodiment, the regional adjustment parameter information refers to the specific adjustment parameter information of each region in the adjustment parameter information. The specific adjustment requirements of each region refer to the specific operation parameter information that needs to be adjusted in each region in the regional adjustment parameter information.

[0076] Specifically, the operating parameters that need to be adjusted in each area, that is, the specific adjustment requirements of each area, are obtained from the adjustment parameter information. Furthermore, the adjustment parameter information also includes the expected travel time of each area after adjustment.

[0077] S62. Generate a multi-level adjustment plan based on the specific adjustment needs of each region.

[0078] Specifically, the system generates multiple adjustment plans of different degrees according to the specific adjustment needs of each area. For example, there are light adjustment plans, medium adjustment plans and heavy adjustment plans. Light adjustment plans involve small changes in lane allocation, medium adjustment plans may include opening emergency lanes, and heavy adjustment plans may involve temporary changes in toll collection strategies or mobilizing resources from other toll stations.

[0079] S63. Evaluate the expected effects of each level of the multi-level adjustment plan, and determine the adjustment plan that is most appropriate for the current situation based on the expected effects.

[0080] In this embodiment, the expected effect refers to the degree of improvement in traffic efficiency that is expected to be achieved after the implementation of adjustment plans at all levels.

[0081] Specifically, the system evaluates the expected effects of various adjustment plans through simulation calculations, including indicators such as the expected reduction in average travel time and improved lane utilization. Then, the most suitable adjustment plan is selected based on the current actual situation (such as traffic volume, time period, weather conditions, etc.).

[0082] S64. Generate an adjustment instruction sequence according to the adjustment plan corresponding to the current situation, and trigger the execution of the adjustment instruction according to the adjustment instruction sequence.

[0083] In this embodiment, the adjustment instruction sequence refers to converting the selected adjustment scheme into a specific executable instruction set.

[0084] Specifically, the system converts the selected adjustment plan into a series of specific operation instructions, such as "open emergency lane No. 3", "add 2 ETC lanes", "mobilize 3 additional toll collectors", etc. These instructions are arranged in priority and logical order to form an adjustment instruction sequence. The system then triggers the execution of these instructions, which may be completed through automated equipment or by sending notifications to relevant personnel.

[0085] S65. Obtain the optimization degree of the adjustment instruction sequence. If the optimization degree is less than a preset optimization effect threshold, the next level adjustment plan is automatically triggered.

[0086] In this embodiment, the optimization degree refers to the degree of improvement in traffic efficiency actually achieved after executing the adjustment instruction sequence. The preset optimization effect threshold refers to the minimum acceptable improvement degree preset by the system.

[0087] Specifically, after executing the adjustment instruction sequence, the system monitors the changes in various indicators in real time, such as the reduction in average travel time, the improvement in lane utilization, etc. If the improvement in these indicators is lower than the preset threshold, the next level of more powerful adjustment plan will be automatically triggered.

[0088] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0089] In the second aspect, the present application provides a highway toll station equipment management system. The highway toll station equipment management system of the present application is described below in conjunction with the above-mentioned highway toll station equipment management method.

[0090] Reference Figure 7 , a highway toll station equipment management system, comprising: The overall operation parameter information acquisition module is used to obtain the operation selection information, and obtain the overall operation parameter information according to the operation selection information, wherein the operation selection information includes the expected traffic flow and peak hours, and the overall operation parameter information includes the expected maximum traffic capacity, average traffic time, number of equipment turned on and operation time; The equipment operation strategy acquisition module is used to obtain equipment layout information. According to the equipment layout information and the overall operation parameter information, the equipment operation strategy is obtained. The toll station equipment is distributed in several areas. The equipment operation strategy includes the number of open lanes and the number of ETC equipment enabled in each area. The equipment layout information refers to the distribution of various types of equipment in the toll station. The equipment operation instruction trigger module is used to trigger equipment operation instructions according to the equipment operation strategy and overall operation parameter information; A collection instruction trigger module is used to obtain regional traffic data information, compare the regional traffic data information with the corresponding expected value in the overall operation parameter information, obtain the regional difference value, compare the regional difference value with the preset change threshold, and if the regional difference value is outside the preset change threshold range, trigger the regional traffic status change information collection instruction; The adjustment parameter information acquisition module is used to collect instructions based on the regional traffic condition change information and obtain the adjustment parameter information; The adjustment instruction triggering module is used to trigger the adjustment instruction according to the adjustment parameter information.

[0091] In one embodiment, the overall operation parameter information acquisition module specifically includes: An expected traffic flow extraction unit is used to extract the expected traffic flow from the operation selection information and use the expected traffic flow as the expected maximum traffic capacity; Part of the operation parameter information acquisition unit is used to obtain the average travel time, the number of equipment turned on and the operation time according to the expected traffic flow and peak hours; The overall operation parameter information acquisition unit is used to associate the expected maximum traffic capacity, average traffic time, number of equipment turned on and operation time to obtain the overall operation parameter information.

[0092] In one embodiment, the number of equipment openings includes the number of regular lane openings and the number of ETC lane openings, and the operating hours include the peak operating hours and the non-peak operating hours. Part of the operation parameter information acquisition unit specifically includes: The lane opening number acquisition subunit is used to obtain the number of conventional lanes opened, the number of ETC lanes opened, the peak operation time and the non-peak operation time according to the expected traffic volume and peak time; The average travel time acquisition subunit is used to obtain the average travel time based on the peak operation time and the non-peak operation time.

[0093] In one embodiment, the device operation strategy acquisition module specifically includes: A time period strategy acquisition unit, used to acquire peak period equipment operation strategy and off-peak period equipment operation strategy according to the expected maximum traffic capacity and equipment layout information; The regional strategy acquisition unit is used to obtain the number of open lanes and the number of ETC equipment enabled in each area based on the average travel time and equipment layout information.

[0094] In one embodiment, the adjustment parameter information acquisition module specifically includes: A change information acquisition unit, used to acquire regional traffic condition change information according to the regional traffic condition change information collection instruction; A re-detection trigger unit is used to obtain the traffic condition change end information, and trigger the vehicle flow re-detection instruction according to the traffic condition change end information; An operation status acquisition unit is used to acquire vehicle flow re-detection result information, and acquire current operation status information based on the vehicle flow re-detection result information and regional traffic condition change information. The vehicle flow re-detection result information refers to real-time vehicle flow; The adjustment parameter generating unit is used to obtain adjustment parameter information according to the current operation status information and the overall operation parameter information.

[0095] In one embodiment, the adjustment instruction triggering module specifically includes: A regional adjustment parameter acquisition unit, configured to acquire regional adjustment parameter information according to the adjustment parameter information, wherein the regional adjustment parameter information includes specific adjustment requirements of each region; A multi-level scheme generating unit, used to generate a multi-level adjustment scheme according to the specific adjustment requirements of each area; The scheme evaluation and selection unit is used to evaluate the expected effects of each level of the multi-level adjustment scheme and determine the adjustment scheme that is suitable for the current situation according to the expected effects; An adjustment instruction execution unit, used to generate an adjustment instruction sequence according to an adjustment plan corresponding to the current situation, and trigger the execution of the adjustment instruction according to the adjustment instruction sequence; The optimization effect evaluation unit is used to obtain the optimization degree of the adjustment instruction sequence. If the optimization degree is less than a preset optimization effect threshold, the next level adjustment plan is automatically triggered.

[0096] In one embodiment, the present application provides an electronic device, which may be a server, and its internal structure diagram may be as follows: Figure 8As shown. The electronic device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the electronic device is used to store data. The network interface of the electronic device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for managing highway toll station equipment is implemented.

[0097] Those skilled in the art will understand that Figure 8 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0098] In one embodiment, an electronic device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0099] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the above-mentioned 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 may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0100] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for managing equipment at a highway toll station, characterized in that: The steps include: Acquire operation selection information, and acquire overall operation parameter information according to the operation selection information, wherein the operation selection information includes expected traffic volume and peak hours, and the overall operation parameter information includes expected maximum traffic capacity, average traffic time, number of equipment turned on, and operation duration; Acquire equipment layout information, and acquire equipment operation strategy according to the equipment layout information and the overall operation parameter information, wherein the toll station equipment is distributed in several areas, and the equipment operation strategy includes the number of open lanes and the number of ETC equipment enabled in each area, and the equipment layout information refers to the distribution of various types of equipment in the toll station; triggering a device operation instruction according to the device operation strategy and the overall operation parameter information; Acquire regional traffic data information, compare the regional traffic data information with the corresponding expected value in the overall operation parameter information to obtain a regional difference value, compare the regional difference value with a preset change threshold value, and if the regional difference value is outside the preset change threshold range, trigger a regional traffic status change information collection instruction; Acquiring adjustment parameter information according to the regional traffic condition change information collection instruction; An adjustment instruction is triggered according to the adjustment parameter information.

2. The highway toll station equipment management method according to claim 1, characterized in that: The obtaining of the operation selection information, and obtaining the overall operation parameter information according to the operation selection information, specifically comprises the following steps: Extracting the expected traffic flow from the operation selection information, and using the expected traffic flow as the expected maximum traffic capacity; According to the expected traffic volume and the peak period, the average travel time, the number of equipment turned on and the operating time are obtained; The expected maximum traffic capacity, average traffic time, number of equipment turned on and operation time are associated to obtain the overall operation parameter information.

3. The highway toll station equipment management method according to claim 2, characterized in that: The number of equipment opened includes the number of conventional lanes opened and the number of ETC lanes opened, and the operating hours include the peak operating hours and non-peak operating hours. The step of obtaining the average travel time, the number of equipment turned on, and the operating time according to the expected traffic volume and the peak period specifically includes the following steps: According to the expected traffic volume and the peak period, the number of open conventional lanes, the number of open ETC lanes, the peak period operation time and the non-peak period operation time are obtained; The average travel time is obtained according to the peak operation time and the non-peak operation time.

4. The highway toll station equipment management method according to claim 1, characterized in that: The equipment operation strategy includes a peak equipment operation strategy and a non-peak equipment operation strategy. The acquiring of equipment layout information, based on the equipment layout information and the overall operation parameter information, acquires the equipment operation strategy, specifically including the following steps: According to the expected maximum traffic capacity and the equipment layout information, obtaining the peak equipment operation strategy and the non-peak equipment operation strategy; According to the average travel time and the equipment layout information, the number of open lanes and the number of activated ETC equipment in each area are obtained.

5. The highway toll station equipment management method according to claim 1, characterized in that: The step of acquiring adjustment parameter information according to the regional traffic condition change information collection instruction specifically includes the following steps: Acquiring regional traffic condition change information according to the regional traffic condition change information collection instruction; Acquiring traffic condition change completion information, and triggering a vehicle flow re-detection instruction according to the traffic condition change completion information; Obtaining vehicle flow re-detection result information, and obtaining current operation status information based on the vehicle flow re-detection result information and the regional traffic condition change information, wherein the vehicle flow re-detection result information refers to real-time vehicle flow; According to the current operation status information and the overall operation parameter information, adjustment parameter information is obtained.

6. The highway toll station equipment management method according to claim 5, characterized in that: The triggering of the adjustment instruction according to the adjustment parameter information specifically includes: According to the adjustment parameter information, acquiring regional adjustment parameter information, wherein the regional adjustment parameter information includes specific adjustment requirements of each region; Generate multi-level adjustment plans based on the specific adjustment needs of each region; Evaluate the expected effects of each level of the multi-level adjustment plan, and determine an adjustment plan that is appropriate for the current situation based on the expected effects; Generate an adjustment instruction sequence according to the adjustment plan corresponding to the current situation, and trigger the execution of the adjustment instruction according to the adjustment instruction sequence; The optimization degree of the adjustment instruction sequence is obtained, and if the optimization degree is less than a preset optimization effect threshold, the next level adjustment plan is automatically triggered.

7. A highway toll station equipment management system, characterized in that: include: An overall operation parameter information acquisition module is used to acquire operation selection information, and acquire overall operation parameter information according to the operation selection information, wherein the operation selection information includes expected traffic flow and peak hours, and the overall operation parameter information includes expected maximum traffic capacity, average traffic time, number of equipment turned on, and operation time; An equipment operation strategy acquisition module is used to acquire equipment layout information, and acquire equipment operation strategies according to the equipment layout information and the overall operation parameter information, wherein the toll station equipment is distributed in several areas, and the equipment operation strategies include the number of open lanes and the number of ETC equipment enabled in each area, and the equipment layout information refers to the distribution of various types of equipment in the toll station; An equipment operation instruction triggering module, used to trigger equipment operation instructions according to the equipment operation strategy and the overall operation parameter information; A collection instruction triggering module is used to obtain regional traffic data information, compare the regional traffic data information with the corresponding expected value in the overall operation parameter information, obtain a regional difference value, compare the regional difference value with a preset change threshold value, and if the regional difference value is outside the preset change threshold range, trigger a regional traffic status change information collection instruction; An adjustment parameter information acquisition module is used to acquire adjustment parameter information according to the information collection instruction of the traffic condition change in the area; The adjustment instruction triggering module is used to trigger the adjustment instruction according to the adjustment parameter information.

8. The highway toll station equipment management system according to claim 7, characterized in that: The overall operation parameter information acquisition module specifically includes: An expected traffic flow extraction unit, configured to extract the expected traffic flow from the operation selection information and use the expected traffic flow as the expected maximum traffic capacity; A partial operation parameter information acquisition unit, used to acquire average travel time, number of equipment turned on and operation time according to the expected traffic volume and the peak period; The overall operation parameter information acquisition unit is used to associate the expected maximum traffic capacity, average traffic time, number of equipment turned on and operation time to obtain the overall operation parameter information.

9. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method for lane configuration of a highway toll station described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for configuring lanes at a highway toll station according to any one of claims 1 to 6 are implemented.

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