A toll station lane intelligent regulation method and device
By constructing an optimization problem and considering personnel and equipment costs, the optimal number of ETC, MTC, and self-service lanes is determined, solving the problem of insufficient dynamic adjustment capability in traditional toll station lane configuration methods and achieving rational resource allocation and improved operational efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING JINGTOU TRANSPORTATION DEV CO LTD
- Filing Date
- 2026-01-19
- Publication Date
- 2026-05-29
AI Technical Summary
Traditional toll station lane configuration methods lack dynamic adjustment capabilities, making it difficult to cope with sudden traffic fluctuations, resulting in congestion and unreasonable personnel scheduling, and making it difficult to balance user delay costs with operation and management costs.
By constructing an optimization problem, combining personnel input, equipment operation and maintenance costs, calculating user delay costs, and solving for the optimal solution, the optimal number of ETC, MTC and self-service lanes can be determined to achieve intelligent control.
It improves the rationality and adaptability of toll station resource allocation, reduces operating costs, enhances operating efficiency, and provides technical support for the refined management and intelligent operation of toll stations.
Smart Images
Figure CN122116667A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of intelligent transportation technology, and in particular to a method and device for intelligent control of toll station lanes. Background Technology
[0002] With the continuous growth of highway traffic volume, toll stations, as bottlenecks, directly impact the overall road operation level due to their traffic efficiency. Traditional lane configuration methods rely mainly on manual experience, lacking dynamic adjustment capabilities and struggling to cope with sudden traffic fluctuations, easily leading to congestion and inefficient personnel scheduling.
[0003] Most existing studies optimize the number of lanes based on queuing theory, but they generally overlook two issues: The configuration of different types of toll lanes (MTC manual toll collection, self-service lanes, and ETC lanes) is not only affected by traffic flow, but also by the number of available personnel, working hours, and scheduling rules.
[0004] Simply considering the cost of vehicle delays or lane opening operations is insufficient to achieve overall optimization. In practical applications, it is necessary to balance both user delay costs and operational management costs. Summary of the Invention
[0005] In view of this, this application provides a method and device for intelligent lane control at toll stations to solve the above-mentioned technical problems.
[0006] In a first aspect, embodiments of this application provide a method for intelligent lane control at toll stations, including: Calculate the operating cost of the toll station based on personnel input costs, equipment operating costs, and equipment maintenance costs; Calculate user delay costs based on average number of passengers per vehicle, average time value per person, and vehicle delay costs for each lane; The optimization problem is constructed, including: an objective function and multiple constraints aimed at minimizing the sum of the toll station operating cost and the user delay cost; Solving the optimization problem yields the optimal solutions, including: the optimal number of ETC lanes, the optimal number of MTC lanes, and the optimal number of self-service lanes; Based on the optimal number of ETC lanes, the optimal number of MTC lanes, and the optimal number of self-service lanes, the lanes at the toll station are adjusted.
[0007] In one possible implementation, the operating cost of the toll station is calculated based on personnel input costs, equipment operating costs, and equipment maintenance costs; including: Calculate the operating cost of ETC lanes based on the number of ETC lanes, the average monthly salary of toll collectors, the operating cost of ETC lane equipment, and the maintenance cost of ETC lanes. ; Calculate the operating cost of MTC lanes based on the number of MTC lanes, the average monthly salary of toll collectors, the operating cost of MTC lane equipment, and the maintenance cost of MTC lanes. ; Calculate the operating cost of self-service lanes based on the number of self-service lanes, the average monthly salary of toll collectors, the operating cost of self-service lane equipment, and the maintenance cost of self-service lanes. ; Calculate the total operating cost of the toll station : .
[0008] In one possible implementation, the operating cost of the ETC lanes is calculated based on the number of ETC lanes, the average monthly salary of toll collectors, the operating cost of the ETC lane equipment, and the maintenance cost of the ETC lanes. ;include: The operating cost of ETC lanes is calculated using the following formula. :
[0009] in, For the number of ETC lanes, The average monthly salary of a toll collector. For the number of working days of the toll collector, The daily working hours for toll collectors. For the operating costs of ETC lane equipment, The cost of maintenance and upkeep of ETC lanes.
[0010] In one possible implementation, the user delay cost is calculated based on time loss costs, vehicle delay costs, average vehicle passenger capacity, and average time value per person; including: Based on the number of ETC lanes, the variance of ETC lane service time, the mean of ETC lane service time, and the average traffic intensity of ETC lanes, the waiting time for ETC lane users is calculated. ; Based on the number of MTC lanes, the variance of MTC lane service time, the mean of MTC lane service time, and the average oncoming traffic intensity of MTC lanes, calculate the waiting time for MTC lane users. ; Based on the number of self-service lanes, the variance of self-service lane service time, the mean of self-service lane service time, and the average traffic intensity of self-service lanes, the waiting time for users in self-service lanes is calculated. ; Calculate user delay costs :
[0011] in, Value of time per person This represents the average number of passengers per vehicle entering the toll station. The arrival rate of ETC vehicles per unit time; The arrival rate of MTC vehicles per unit time; This represents the arrival rate of self-service vehicles per unit of time.
[0012] In one possible implementation, the waiting time for ETC lane users is calculated based on the number of ETC lanes, the variance of ETC lane service time, the mean of ETC lane service time, and the average traffic intensity of ETC lanes. ;include: The waiting time for ETC lane users is calculated using the following formula. :
[0013] in, For the number of ETC lanes, Service time variance for ETC lanes; Average service time for ETC lanes; This represents the average traffic intensity in the ETC lane.
[0014] In one possible implementation, the calculation steps for the average number of passengers entering the toll station include: The average number of passengers per vehicle entering the toll station can be calculated using the following formula. :
[0015] in, The proportion of small cars among vehicles entering the toll station; The proportion of medium-sized vehicles entering the toll station; The proportion of large vehicles entering the toll station; This refers to the average number of passengers carried by a small car. This represents the average number of passengers per vehicle in a medium-sized car. This represents the average number of passengers carried by a large vehicle.
[0016] In one possible implementation, the plurality of constraints include: The service intensity of ETC lanes, MTC lanes, and self-service lanes are all greater than 0 and less than 1; The number of ETC lanes is greater than or equal to 1 and less than or equal to the maximum number of ETC lanes; the number of MTC lanes is greater than or equal to 1 and less than or equal to the maximum number of MTC lanes; the number of self-service lanes is greater than or equal to 1 and less than or equal to the maximum number of self-service lanes. The sum of the number of ETC lanes, MTC lanes, and self-service lanes shall not exceed the total number of lanes at the toll station; The total number of people in all lane opening configurations shall not exceed the maximum number of people.
[0017] Secondly, embodiments of this application provide an intelligent lane control device for toll stations, comprising: The first processing unit is used to calculate the operating cost of the toll station based on personnel input cost, equipment operation cost, and equipment maintenance cost. The second processing unit is used to calculate the user delay cost based on the average number of passengers per vehicle, the average time value per person, and the vehicle delay cost for each lane. The construction unit is used to construct the optimization problem, including: an objective function and multiple constraints aimed at minimizing the sum of the toll station operating cost and the user delay cost; The solution unit is used to solve the optimization problem to obtain the optimal solution, including: the optimal number of ETC lanes, the optimal number of MTC lanes, and the optimal number of self-service lanes; The control unit is used to control the lanes of the toll station according to the optimal value of the number of ETC lanes, the optimal value of the number of MTC lanes, and the optimal value of the number of self-service lanes.
[0018] Thirdly, embodiments of this application provide 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 computer program to implement the method of embodiments of this application.
[0019] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the methods of embodiments of this application.
[0020] Fifthly, embodiments of this application provide a computer program product, including a computer program / instructions, which, when executed by a processor, implement the method of embodiments of this application.
[0021] This embodiment obtains the optimal number of lanes to be opened for the three types of lanes by minimizing the sum of the toll station operating cost and the user delay cost. This can help improve the rationality and feasibility of toll station resource allocation, enhance the system's adaptability to traffic flow fluctuations and changes in the operating environment, improve the operating efficiency of toll stations, reduce operating costs, and provide effective technical support for the refined management and intelligent operation of toll stations. Attached Figure Description
[0022] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0023] Figure 1 A flowchart of the intelligent lane control method for toll stations provided in the embodiments of this application; Figure 2 A functional structure diagram of the intelligent lane control device for toll stations provided in the embodiments of this application; Figure 3 This is a structural diagram of an electronic device provided in an embodiment of this application. Detailed Implementation
[0024] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.
[0025] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.
[0026] First, a brief introduction to the design concept of the embodiments of this application will be given.
[0027] In actual toll station operation, traffic flow exhibits significant time-varying and uncertainties. The proportion of vehicles using different toll collection methods changes dynamically over time, and toll collectors are constrained by multiple factors such as workload, skill matching, and shift scheduling. Existing technologies typically employ fixed or semi-fixed lane configuration strategies, lacking unified modeling and optimization of the collaborative operation of multiple toll lane types, making it difficult to achieve synchronous coordination of lane and personnel resources.
[0028] In addition, existing methods are generally one-sided in setting optimization targets, failing to balance user traffic efficiency with the needs of toll station operation and management. This may lead to problems such as personnel redundancy, lane vacancy or increased operating costs while reducing vehicle queuing delays, making it difficult to guarantee the overall operational efficiency of the system.
[0029] To address the aforementioned shortcomings, there is an urgent need for an intelligent control solution tailored to the actual operational scenarios of toll stations. This solution should be able to uniformly plan and dynamically adjust different types of toll lanes while meeting personnel allocation and management constraints. Furthermore, through a multi-objective collaborative optimization mechanism, it should achieve a balance between improving vehicle traffic efficiency and controlling operating costs. This type of technical solution will help improve the rationality and feasibility of toll station resource allocation, enhance the system's adaptability to traffic flow fluctuations and changes in the operating environment, and provide effective technical support for the refined management and intelligent operation of toll stations.
[0030] After introducing the application scenarios and design concepts of the embodiments of this application, the technical solutions provided by the embodiments of this application will be described below.
[0031] like Figure 1 As shown in the figure, this application provides a method for intelligent lane control at toll stations, including: Step 101: Calculate the operating cost of the toll station based on personnel input costs, equipment operating costs, and equipment maintenance costs; Step 102: Calculate the user delay cost based on the average number of passengers per vehicle, the average time value per person, and the vehicle delay cost for each lane; Step 103: Construct the optimization problem, including: an objective function aimed at minimizing the sum of toll station operating costs and user delay costs, and multiple constraints; Step 104: Solve the optimization problem to obtain the optimal solution, including: the optimal number of ETC lanes, the optimal number of MTC (manual semi-automatic toll collection) lanes, and the optimal number of self-service lanes; Step 105: Adjust the lanes at the toll station based on the optimal values for the number of ETC lanes, MTC lanes, and self-service lanes.
[0032] Specifically, lanes will be opened according to the optimal number of ETC lanes, MTC lanes, and self-service lanes.
[0033] This embodiment obtains the optimal number of lanes to be opened for the three types of lanes by minimizing the sum of the toll station operating cost and the user delay cost. This can help improve the rationality and feasibility of toll station resource allocation, enhance the system's adaptability to traffic flow fluctuations and changes in the operating environment, improve the operating efficiency of toll stations, reduce operating costs, and provide effective technical support for the refined management and intelligent operation of toll stations.
[0034] In some embodiments, the method further includes: Data obtained from various systems at the toll station includes: traffic flow, traffic type ratio, lane type, total number of lanes, vehicle service time for different lanes, personnel costs, and operating and facility costs.
[0035] In some embodiments, the operating cost of a toll station is calculated based on personnel input costs, equipment operating costs, and equipment maintenance costs; including: Calculate the operating cost of ETC lanes based on the number of ETC lanes, the average monthly salary of toll collectors, the operating cost of ETC lane equipment, and the maintenance cost of ETC lanes. ; Calculate the operating cost of MTC lanes based on the number of MTC lanes, the average monthly salary of toll collectors, the operating cost of MTC lane equipment, and the maintenance cost of MTC lanes. ; Calculate the operating cost of self-service lanes based on the number of self-service lanes, the average monthly salary of toll collectors, the operating cost of self-service lane equipment, and the maintenance cost of self-service lanes. ; Calculate the total operating cost of the toll station : .
[0036] Among them, the total operating cost of toll stations The unit is yuan / hour.
[0037] Specifically, the operating costs of toll stations mainly consist of three aspects: personnel input costs, equipment operation costs, and equipment maintenance costs. According to the current actual situation of toll stations, ETC lanes require one person for every three lanes, MTC lanes require one person for every one lane, and self-service lanes require one person for every two lanes.
[0038] In some embodiments, the operating cost of an ETC lane is calculated based on the number of ETC lanes, the average monthly salary of toll collectors, the operating cost of ETC lane equipment, and the maintenance cost of ETC lanes. ;include: The operating cost of ETC lanes is calculated using the following formula. :
[0039] in, For the number of ETC lanes, The average monthly salary for toll collectors is [amount] yuan / month. For the number of working days of the toll collector, The daily working hours for toll collectors. The operating cost of ETC lane equipment is RMB / month. Maintenance and upkeep costs for ETC lanes, in yuan / month; ETC lane operating costs. The unit is yuan / hour.
[0040] In some embodiments, the operating cost of an MTC lane is calculated based on the number of MTC lanes, the average monthly salary of toll collectors, the operating cost of MTC lane equipment, and the maintenance cost of MTC lanes. ;include: The operating cost of MTC lanes is calculated using the following formula. :
[0041] in, Number of MTC lanes; For the operating costs of MTC lane equipment; For the maintenance and upkeep costs of MTC lanes.
[0042] In some embodiments, the operating cost of a self-service lane is calculated based on the number of self-service lanes, the average monthly salary of toll collectors, the operating cost of the self-service lane equipment, and the maintenance cost of the self-service lane. ;include: The operating cost of the self-service lane is calculated using the following formula. :
[0043] in, This refers to the number of self-service lanes; For the operating costs of self-service lane equipment; This refers to the cost of maintenance and upkeep of self-service lanes.
[0044] In some embodiments, user delay costs are calculated based on time loss costs, vehicle delay costs, average vehicle passenger capacity, and average time value per person; including: Based on the number of ETC lanes, the variance of ETC lane service time, the mean of ETC lane service time, and the average traffic intensity of ETC lanes, the waiting time for ETC lane users is calculated. ; Based on the number of MTC lanes, the variance of MTC lane service time, the mean of MTC lane service time, and the average oncoming traffic intensity of MTC lanes, calculate the waiting time for MTC lane users. ; Based on the number of self-service lanes, the variance of self-service lane service time, the mean of self-service lane service time, and the average traffic intensity of self-service lanes, the waiting time for users in self-service lanes is calculated. ; Calculate user delay costs :
[0045] in, Value of time per person This represents the average number of passengers per vehicle entering the toll station. The arrival rate of ETC vehicles per unit time; The arrival rate of MTC vehicles per unit time; The arrival rate of self-service vehicles per unit time. User delay cost. The unit is yuan / hour.
[0046] In some embodiments, the waiting time for ETC lane users is calculated based on the number of ETC lanes, the variance of ETC lane service time, the mean of ETC lane service time, and the average traffic intensity of ETC lanes. ;include: The waiting time for ETC lane users is calculated using the following formula. :
[0047] in, For the number of ETC lanes, Service time variance for ETC lanes; Average service time for ETC lanes; This represents the average traffic intensity in the ETC lane.
[0048] In some embodiments, the MTC lane user waiting time is calculated based on the number of MTC lanes, the variance of MTC lane service time, the mean of MTC lane service time, and the average oncoming traffic intensity of MTC lanes. ,include: The waiting time for MTC lane users is calculated using the following formula. :
[0049] in, Variance of service time for MTC lanes; Mean service time for MTC lanes; The average oncoming traffic intensity in the MTC lane.
[0050] In some embodiments, the waiting time for users in self-service lanes is calculated based on the number of self-service lanes, the variance of self-service lane service time, the mean of self-service lane service time, and the average traffic intensity of self-service lanes. ,include: The waiting time for users in the self-service lane is calculated using the following formula. :
[0051] Among them, Variance of service time for self-service lanes; This represents the average service time for self-service lanes. The average traffic intensity of the self-service lane.
[0052] In some embodiments, the calculation steps for the average number of passengers per vehicle entering a toll station include: The average number of passengers per vehicle entering the toll station can be calculated using the following formula. :
[0053] in, The proportion of small cars among vehicles entering the toll station; The proportion of medium-sized vehicles entering the toll station; The proportion of large vehicles entering the toll station; This refers to the average number of passengers carried by a small car. This represents the average number of passengers per vehicle in a medium-sized car. This represents the average number of passengers carried by a large vehicle.
[0054] In some embodiments, the method further includes: Based on the average monthly income of the area where the toll station is located Calculate the average time value per person :
[0055] Among them, 25 represent the number of working days in a month, and 8 represent the number of working hours in a working day.
[0056] In some embodiments, the multiple constraints include: Service intensity of ETC lanes Service intensity of MTC lanes and the service intensity of self-service lanes Both are greater than 0 and less than 1:
[0057]
[0058]
[0059] The number of ETC lanes is greater than or equal to 1 and less than or equal to the maximum number of ETC lanes; the number of MTC lanes is greater than or equal to 1 and less than or equal to the maximum number of MTC lanes; the number of self-service lanes is greater than or equal to 1 and less than or equal to the maximum number of self-service lanes. The sum of the number of ETC lanes, MTC lanes, and self-service lanes is not greater than the total number of lanes at the toll station; the number of ETC lanes, MTC lanes, and self-service lanes are all positive integers; The total number of people in all lanes with the configuration enabled shall not exceed the maximum number of people:
[0060] in, The maximum number of personnel that can be configured at a toll station.
[0061] Specifically, the service intensity of ETC lanes The calculation formula is:
[0062] in, Average service time for ETC lanes; This represents the average traffic intensity in the ETC lane.
[0063] The formula for calculating the service intensity of an MTC lane is:
[0064] in, Mean service time for MTC lanes; The average oncoming traffic intensity in the MTC lane.
[0065] The formula for calculating the service intensity of self-service lanes is:
[0066] in, This represents the average service time for self-service lanes. The average traffic intensity of the self-service lane.
[0067] In some embodiments, the whale optimization algorithm is employed to solve the optimization problem. This algorithm finds the global optimum by simulating the bubble-net hunting behavior of humpback whales (encircling prey, attacking the bubble net, and searching for prey), and is particularly suitable for solving the nonlinear, multi-constraint mixed-integer programming problem of this invention. The specific steps are as follows: (1) Encircle the prey Whales assume that the current best individual is prey, and the rest adjust their positions around it:
[0068]
[0069] In the formula: This is the current optimal solution; This represents the current individual's location. Let the coefficient vector be defined as follows:
[0070] It decreases linearly from 2 to 0 to balance exploration and development; A random vector between [0,1]; (2) Spiral bubble predation behavior
[0071]
[0072] in, This represents the distance between the current searched individual and the current optimal solution. Let be a constant, defining the degree of compression of the spiral; The result is a random number, ranging from [-1, 1]. Between encirclement and spiral, with probability Random selection:
[0073] (3) Searching for prey when When the value is greater than 1, the whale will move away from the current optimal solution and approach random individuals, thus enhancing its global search capability.
[0074]
[0075] in, The distance between the current searched individual and a random individual; The location of a whale in a randomly selected population is used to guide the search direction.
[0076] Based on the same inventive concept, this application provides an intelligent lane control device for toll stations, see reference. Figure 2 As shown, the intelligent lane control device 200 for toll stations provided in this application embodiment includes at least: The first processing unit 201 is used to calculate the operating cost of the toll station based on personnel input cost, equipment operation cost and equipment maintenance cost; The second processing unit 202 is used to calculate the user delay cost based on the average number of passengers per vehicle, the average time value per person, and the vehicle delay cost of each lane. Construction unit 203 is used to construct the optimization problem, including: an objective function aimed at minimizing the sum of toll station operating costs and user delay costs, and multiple constraints; Solver 204 is used to solve optimization problems to obtain optimal solutions, including: optimal values for the number of ETC lanes, optimal values for the number of MTC lanes, and optimal values for the number of self-service lanes.
[0077] The control unit 205 is used to control the lanes of the toll station based on the optimal values of the number of ETC lanes, the optimal values of the number of MTC lanes, and the optimal values of the number of self-service lanes.
[0078] It should be noted that the principle of the intelligent lane control device 200 for toll stations provided in this application embodiment to solve the technical problem is similar to the method provided in this application embodiment. Therefore, the implementation of the intelligent lane control device 200 for toll stations provided in this application embodiment can refer to the implementation of the method provided in this application embodiment, and the repeated parts will not be described again.
[0079] Based on the same inventive concept, embodiments of this application also provide an electronic device, such as... Figure 3 As shown, it includes a memory and a processor. The memory stores an executable program, and the processor executes the executable program to implement the steps of the intelligent lane control method for toll stations provided in the above embodiments.
[0080] The aforementioned processor can be a general-purpose processor, a digital signal processor, an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The aforementioned PLD can be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof. The general-purpose processor can be a microprocessor or any conventional processor, etc.
[0081] Since the electronic device described in this application embodiment is an electronic device equipped with a memory for implementing the intelligent control method for toll station lanes disclosed in this application embodiment, those skilled in the art can understand the structure and variations of the electronic device described in this application embodiment based on the intelligent control method for toll station lanes described in this application embodiment, and therefore will not be described again here.
[0082] This application also provides a computer-readable storage medium storing a computer program thereon, which, when run by a processor, implements the steps of the intelligent lane control method for toll stations provided in the above embodiments.
[0083] The storage medium in this embodiment may be included in an electronic device; or it may exist independently and not be assembled into an electronic device. The storage medium carries one or more computer programs, which, when executed, implement the steps of the intelligent lane control method for toll stations provided in the above embodiments.
[0084] It should be understood that the various solutions in this embodiment have the same technical effects as those in the above method embodiments, and will not be repeated here.
[0085] According to embodiments of this application, the computer-readable storage medium can be a non-volatile computer-readable storage medium, such as including but not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. Optionally, specific examples in this embodiment can refer to the examples described in any embodiment of this application, which will not be repeated here. Obviously, those skilled in the art should understand that the various modules or steps of this application described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented here, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, this application is not limited to any particular hardware and software combination.
[0086] This application also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the intelligent lane control method for toll stations provided in the above embodiments.
[0087] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions targeted in the blocks may occur in a different order than those targeted in the drawings. For example, two consecutively represented blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.
[0088] Furthermore, while the operations are described in a specific order, this should not be construed as requiring these operations to be performed in the specific order shown or in a sequential order. Multitasking and parallel processing may be advantageous in certain environments. Similarly, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of this application. Certain features described in the context of individual embodiments may also be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment may also be implemented individually or in any suitable sub-combination in multiple embodiments.
Claims
1. A method for intelligent lane control at toll stations, characterized in that, include: Calculate the operating cost of the toll station based on personnel input costs, equipment operating costs, and equipment maintenance costs; Calculate user delay costs based on average number of passengers per vehicle, average time value per person, and vehicle delay costs for each lane; The optimization problem is constructed, including: an objective function and multiple constraints aimed at minimizing the sum of the toll station operating cost and the user delay cost; Solving the optimization problem yields the optimal solutions, including: the optimal number of ETC lanes, the optimal number of MTC lanes, and the optimal number of self-service lanes; Based on the optimal number of ETC lanes, the optimal number of MTC lanes, and the optimal number of self-service lanes, the lanes at the toll station are adjusted.
2. The method according to claim 1, characterized in that, The operating cost of a toll station is calculated based on personnel input costs, equipment operating costs, and equipment maintenance costs; including: Calculate the operating cost of ETC lanes based on the number of ETC lanes, the average monthly salary of toll collectors, the operating cost of ETC lane equipment, and the maintenance cost of ETC lanes. ; Calculate the operating cost of MTC lanes based on the number of MTC lanes, the average monthly salary of toll collectors, the operating cost of MTC lane equipment, and the maintenance cost of MTC lanes. ; Calculate the operating cost of self-service lanes based on the number of self-service lanes, the average monthly salary of toll collectors, the operating cost of self-service lane equipment, and the maintenance cost of self-service lanes. ; Calculate the total operating cost of the toll station : 。 3. The method according to claim 2, characterized in that, Calculate the operating cost of ETC lanes based on the number of ETC lanes, the average monthly salary of toll collectors, the operating cost of ETC lane equipment, and the maintenance cost of ETC lanes. ;include: The operating cost of ETC lanes is calculated using the following formula. : in, For the number of ETC lanes, The average monthly salary of a toll collector. For the number of working days of the toll collector, The daily working hours for toll collectors. For the operating costs of ETC lane equipment, The cost of maintenance and upkeep of ETC lanes.
4. The method according to claim 1, characterized in that, Based on time loss costs, vehicle delay costs, average vehicle passenger capacity, and the average time value per passenger, calculate user delay costs; including: Based on the number of ETC lanes, the variance of ETC lane service time, the mean of ETC lane service time, and the average traffic intensity of ETC lanes, the waiting time for ETC lane users is calculated. ; Based on the number of MTC lanes, the variance of MTC lane service time, the mean of MTC lane service time, and the average oncoming traffic intensity of MTC lanes, calculate the waiting time for MTC lane users. ; Based on the number of self-service lanes, the variance of self-service lane service time, the mean of self-service lane service time, and the average traffic intensity of self-service lanes, the waiting time for users in self-service lanes is calculated. ; Calculate user delay costs : in, Value of time per person This represents the average number of passengers per vehicle entering the toll station. The arrival rate of ETC vehicles per unit time; The arrival rate of MTC vehicles per unit time; This represents the arrival rate of self-service vehicles per unit of time.
5. The method according to claim 4, characterized in that, Based on the number of ETC lanes, the variance of ETC lane service time, the mean of ETC lane service time, and the average traffic intensity of ETC lanes, the waiting time for ETC lane users is calculated. ;include: The waiting time for ETC lane users is calculated using the following formula. : in, For the number of ETC lanes, Service time variance for ETC lanes; Average service time for ETC lanes; This represents the average traffic intensity in the ETC lane.
6. The method according to claim 4, characterized in that, The steps for calculating the average number of passengers per vehicle entering the toll station include: The average number of passengers per vehicle entering the toll station can be calculated using the following formula. : in, The proportion of small cars among vehicles entering the toll station; The proportion of medium-sized vehicles entering the toll station; The proportion of large vehicles entering the toll station; This refers to the average number of passengers carried by a small car. This represents the average number of passengers per vehicle in a medium-sized car. This represents the average number of passengers carried by a large vehicle.
7. The method according to claim 1, characterized in that, The multiple constraints include: The service intensity of ETC lanes, MTC lanes, and self-service lanes are all greater than 0 and less than 1; The number of ETC lanes is greater than or equal to 1 and less than or equal to the maximum number of ETC lanes; the number of MTC lanes is greater than or equal to 1 and less than or equal to the maximum number of MTC lanes; the number of self-service lanes is greater than or equal to 1 and less than or equal to the maximum number of self-service lanes. The sum of the number of ETC lanes, MTC lanes, and self-service lanes shall not exceed the total number of lanes at the toll station; The total number of people in all lane opening configurations shall not exceed the maximum number of people.
8. A smart lane control device for toll stations, characterized in that, include: The first processing unit is used to calculate the operating cost of the toll station based on personnel input cost, equipment operation cost, and equipment maintenance cost. The second processing unit is used to calculate the user delay cost based on the average number of passengers per vehicle, the average time value per person, and the vehicle delay cost for each lane. The construction unit is used to construct the optimization problem, including: an objective function and multiple constraints aimed at minimizing the sum of the toll station operating cost and the user delay cost; The solution unit is used to solve the optimization problem to obtain the optimal solution, including: the optimal number of ETC lanes, the optimal number of MTC lanes, and the optimal number of self-service lanes; The control unit is used to control the lanes of the toll station according to the optimal value of the number of ETC lanes, the optimal value of the number of MTC lanes, and the optimal value of the number of self-service lanes.
9. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the method as claimed in any one of claims 1-7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the method as described in any one of claims 1-7.