Construction method of interactive simulation evaluation system for highway road alarm linkage control strategy

Abstract

The invention relates to the technical field of intelligent high-speed simulation, provides a construction method of an interactive simulation evaluation system for a highway road-alarm linkage control strategy, and solves the problems that the conventional road-alarm linkage integrated control strategy is unmeasurable and invisible in the compilation process. And powerful support is provided for realizing scientific, intelligent and fine management of road alarm linkage. Through dynamic simulation and quantitative evaluation, a user can intuitively understand the implementation effects of different control strategies and carry out strategy optimization and adjustment according to an evaluation result, so that the traffic capacity and safety of the expressway are improved, and the influence of emergencies on traffic flow is reduced.

Description

Technical Field

[0001] The present invention relates to the field of intelligent highway simulation technology, and in particular to a method for constructing an interactive simulation evaluation system for highway police linkage control strategies. Background Art

[0002] In the modern transportation system, highways are important links between cities and regions. Their smooth and safe operation is directly related to the development of social economy and the safety of life and property of the public. However, with the continuous expansion of the highway network and the continuous growth of traffic volume, the frequency of emergencies on highways has also increased. These emergencies include but are not limited to traffic accidents, vehicle failures, severe weather conditions (such as fog, rainstorms, snowstorms), road construction and natural disasters, which often lead to a sharp decline in road capacity and even cause traffic congestion and secondary accidents, posing a serious threat to the operational efficiency and safety of highways.

[0003] Faced with this challenge, the traditional road-police joint control strategy formulation method has gradually revealed its limitations. Traditional strategy formulation mainly relies on experience judgment and static analysis, lacking in-depth understanding and accurate prediction of the dynamic characteristics of traffic flow. When an emergency occurs, it is often only possible to rely on on-site investigation and temporary decision-making. This method is not only inefficient, but also difficult to ensure the scientificity and effectiveness of the decision. In addition, due to the lack of intuitive display and quantitative evaluation of the implementation effects of different control strategies, traditional methods are difficult to optimize and adjust strategies, thus limiting the further improvement of the road-police joint control capabilities.

[0004] In recent years, with the rapid development of computer simulation technology and big data processing capabilities, new ideas and methods have been provided for the formulation of highway traffic control strategies. By constructing a high-precision dynamic simulation model, it is possible to accurately simulate and predict the operating status of highway traffic flow, providing a scientific basis for the formulation of road-police joint control strategies. However, most of the existing simulation systems have the following problems: First, the simulation accuracy is insufficient, and it is difficult to accurately reflect the complexity and dynamics of traffic flow; second, there is a lack of interactive functions, and users cannot flexibly adjust simulation parameters and scenarios according to actual needs; third, the evaluation means are single, and often can only provide qualitative analysis results, which cannot meet the needs of quantitative evaluation. Summary of the invention

[0005] In order to solve the above problems, the present invention proposes a method for formulating integrated traffic control strategies for highways based on high-precision dynamic simulation and quantitative evaluation. This method realizes the comprehensive simulation and dynamic adjustment of the traffic flow operation status under abnormal conditions of highways by integrating four-dimensional dynamic simulation model and interactive dynamic parameter adjustment technology. The four-dimensional dynamic simulation model includes time and space, which can accurately reflect the complexity and dynamics of traffic flow; the interactive dynamic parameter adjustment technology allows users to flexibly adjust key parameters such as event type, impact range, historical traffic flow, etc. according to actual needs, thereby realizing dynamic simulation and effect evaluation of the road-police linkage control strategy in different scenarios.

[0006] The present invention provides a method for constructing an interactive simulation evaluation system for highway police linkage control strategy, comprising:

[0007] Receive highway traffic problems, and build a highway simulation system model according to the highway traffic problems;

[0008] Use the highway simulation system model to process the data and obtain the highway simulation results;

[0009] Analyze the highway simulation results to obtain highway simulation results analysis results;

[0010] If the analysis results of the highway simulation results are not satisfactory, the highway simulation system model will be modified;

[0011] If the analysis results of the highway simulation results are satisfactory, the results will be output as highway simulation results.

[0012] Furthermore, the method for constructing an interactive simulation evaluation system for a highway police-road linkage control strategy of the present invention includes receiving a highway traffic problem and constructing a highway simulation system model according to the highway traffic problem, including:

[0013] Cut the road network into a cell matrix, where each cell represents a 0.1-meter-long road segment, and generate the link relationship between road-segment-lane-cell;

[0014] The highway simulation system model is used to reflect the number of lanes, lane connection relationships, ramps, curves, slopes, and geometric forms of toll booths along the road section;

[0015] Furthermore, the method for constructing an interactive simulation evaluation system for a highway road police linkage control strategy described in the present invention uses a highway simulation system model to process data to obtain a highway simulation result, including:

[0016] Using historical traffic data, the highway simulation system model can predict traffic flow status in the next few minutes or longer periods.

[0017] Furthermore, the method for constructing an interactive simulation evaluation system for a highway police-road linkage control strategy of the present invention analyzes the highway simulation results to obtain the highway simulation results analysis results, including:

[0018] Through roadside sensing equipment, traffic operation status information, meteorological conditions and road conditions are collected in real time to predict future traffic congestion trends, traffic accidents and abnormal traffic operation conditions after traffic incidents occur in complex road network environments.

[0019] Furthermore, the method for constructing an interactive simulation evaluation system for highway police linkage control strategy of the present invention further includes:

[0020] Establish a vehicle driving behavior model. Based on the L4 high-precision map, build models such as vehicle following, active lane changing, forced lane changing and ramp merging decision-making, conduct rehearsal analysis of emergencies or construction plans, and output the impact of the incident on the road. According to the analysis and prediction results of the road conditions around the incident, recommend ramp flow control, open emergency lanes, lane control, and recommend detour strategies.

[0021] Furthermore, the method for constructing an interactive simulation evaluation system for highway police linkage control strategy of the present invention further includes:

[0022] Highway traffic problems include traffic environment, conditions and control environment. Highway simulation system models include road network models and vehicle behavior models. Traffic control strategies are selected and designed. Traffic control strategies include entrance ramp flow control and opening emergency lanes.

[0023] Compile and run programs to convert mathematical models into computer simulation models or software;

[0024] Conduct in-depth analysis of simulation results and compare traffic flow, vehicle speed, and accident rate indicators under different strategies;

[0025] According to the comparison between simulation results and actual situation, the model is verified and parameters are calibrated;

[0026] Output simulation time information, road network information, vehicle information, and traffic flow data.

[0027] Beneficial effects of the present invention;

[0028] The present invention not only solves the unpredictable and invisible problems in the compilation process of the traditional road-police linkage integrated control strategy, but also provides strong support for the scientific, intelligent and refined management of road-police linkage. Through dynamic simulation and quantitative evaluation, users can intuitively understand the implementation effects of different control strategies, and optimize and adjust strategies according to the evaluation results, thereby improving the traffic capacity and safety of highways and reducing the impact of emergencies on traffic flow. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on the drawings without paying any creative labor.

[0030] Figure 1 A schematic diagram of an interactive simulation evaluation system for highway police linkage control strategy provided by an embodiment of the present invention.

[0031] Figure 2 A schematic diagram of an interactive simulation evaluation process of a highway police linkage control strategy provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0033] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0034] The problem that this patent aims to solve is that in the face of various emergencies that frequently occur on highways, such as traffic accidents and bad weather, traditional methods are difficult to accurately predict and simulate the specific impact of these events on traffic flow, resulting in the formulated control strategies often lacking pertinence and effectiveness. At the same time, due to the lack of an intuitive simulation environment and dynamic adjustment mechanism, policy makers cannot observe the effect of policy implementation in real time, nor can they make timely adjustments based on feedback, thus limiting the optimization and improvement of control strategies. This patent constructs an interactive simulation and evaluation system for highway road police linkage control strategies based on high-precision dynamic simulation and quantitative evaluation, thereby achieving a comprehensive simulation and dynamic adjustment of the operating status of highway traffic flow under abnormal conditions.

[0035] Construction of four-dimensional dynamic simulation model;

[0036] Build a high-precision road network model;

[0037] Based on traffic flow theory, for the specific highway section under study, combined with micro-road features such as the linear shape of the road network unit, the basic road network of the high-speed high-precision map is refined and deconstructed. Based on the theory of cellular automata, the road network cutting service is used for preprocessing to obtain a simulated road network, whose characteristics are mainly reflected in the cellular lattice. All lanes are cut into 0.1-meter-long cells, and the link relationship between roads, sections, lanes, and cells is generated, converting the road network from an infinite set to a finite set. The road network model truthfully reflects the geometric forms of the road section, such as the number of lanes, lane connection relationships, ramps, curves, ramps, and entrance and exit toll stations along the route. It supports the modification of parameters of the cellular lattice, lanes, etc. in the current map, and supports various scenarios such as road speed limits, emergency lane openings, and lane closures.

[0038] Road network traffic forecast,Road network traffic forecast data comes from the historical traffic data of road sections in the road network.

[0039] Simulation analysis technology is an important means of predicting road traffic flow and evaluating transportation status. Using a four-dimensional simulation system to analyze traffic data and predict the traffic flow status in the next few minutes or longer periods of time can facilitate timely adoption of appropriate traffic control measures and induction measures to divert congested sections and effectively alleviate traffic congestion. The prediction of traffic flow operation status and operation trends can provide a prediction basis for traffic management measures such as ramp control, intelligent induction, lane control, etc., change driving routes, induce traffic flow, and evaluate the degree of traffic congestion.

[0040] Traffic operation status prediction and evaluation relies on a four-dimensional simulation system. Through roadside sensing equipment, traffic operation status information, meteorological conditions, road conditions and structural status are collected. It can monitor the occurrence of abnormal events on highways in real time and quickly, and predict the future short-term traffic congestion development trend and traffic accidents and abnormal traffic operation status after traffic events occur in complex road network environments. It can provide fast and scientific decision-making support for highway emergency response and provide services for highway operation management.

[0041] The functions of real-time analysis and periodic prediction of highway traffic operation status are based on the correct analysis of real-time and future distribution patterns of traffic flow. This analysis requires the use of dynamic traffic demand prediction models, which include traffic data analysis and traffic operation status prediction. It provides data support for simulation solutions, and can identify problems such as traffic congestion that may occur in the future in advance, so as to facilitate the timely adoption of appropriate traffic management measures.

[0042] Based on L4 high-precision maps, a vehicle driving behavior model based on safe distance is constructed, including models such as vehicle following, active lane change, forced lane change and ramp merging decision-making. Considering information such as driver type, vehicle type, lane, etc., rules such as target lane selection and lane change execution conditions are formulated. The driving behavior of the vehicle is simulated as realistically as possible. The main models of the simulation operation core module are as follows:

[0043] The dynamic random generation of vehicles divides vehicles into different models and defines their different static characteristics, such as vehicle length, vehicle width, and vehicle mechanical characteristics. A specific algorithm is used to ensure the data independence between multiple random number generators. According to the time-segment OD parameters (including driving paths) of vehicles at each traffic flow generation point in the road network, the probability distribution parameters of the vehicle generation time, and the distribution law parameters of various vehicle model ratios, the vehicle objects at each entrance are randomly, dynamically, and continuously generated, and the driver behavior characteristics are loaded on the vehicle objects at the same time.

[0044] The driving behavior feature processing model takes into account the characteristics of different driver styles (such as aggressive, steady, and conservative) and describes the differences in driving behaviors of different drivers; for example, the impact of different driver behavior characteristics on vehicle safety distance, vehicle acceleration and deceleration, lane change frequency, lane selection and other factors.

[0045] The vehicle following behavior model is based on Gipps' safety distance model and describes the dynamic driving characteristics of different drivers and vehicle models, such as vehicle acceleration behavior characteristics, deceleration behavior characteristics, following behavior characteristics, random slowing behavior characteristics, etc.

[0046] The vehicle lane-changing behavior model is based on the Gipps safety distance model and builds a lane-changing decision model for vehicles in different scenarios, including lane selection, target gap selection, and lane-changing execution conditions. Usually, the driver must meet two conditions to change lanes: one is the lane-changing motivation, that is, whether the vehicle wants to change lanes; the other is the safety condition, that is, if the vehicle wants to change lanes, it must ensure the safety of its own vehicle and the target vehicle, and no collision will occur.

[0047] Different lane changing types are classified according to different lane changing motivations, including forced lane changing and active lane changing. Forced lane changing means that the driver has to change lanes due to obstacles ahead, exits, lane merging, etc. Active lane changing means that the driver actively changes lanes in order to pursue higher speed or safety benefits.

[0048] Intelligent decision-making plan generation. This function supports rehearsal analysis of emergencies or construction plans. It can perform simulation rehearsals for the events and output in advance the impact of the events on the roads. It recommends strategies based on the analysis and prediction results of the road conditions around the events and supports secondary input of strategies to create new simulation plans. It can also conduct comparative analysis with simulation plans without strategy input, including ramp flow control, opening of emergency lanes, lane control (flow control / closure), and recommended detours.

[0049] Combine the simulation indicators and strategy library to give the best recommended strategy. Including the pushed strategy name and strategy implementation information. The decision-making data includes: event information, road section static information, entrance and exit static information, simulation prediction indicators (queue length, speed)

[0050] Strategies include:

[0051] Entrance ramp flow control: Entrance ramp control controls entrance flow and improves traffic efficiency.

[0052] Open the emergency lane: Use the emergency lane as an evacuation channel to alleviate vehicle congestion.

[0053] Lane closure / speed limit: Lane-level control is implemented on the road sections upstream of the accident site.

[0054] Recommended detour: It is recommended that vehicles on the upstream sections of the accident site detour.

[0055] It is recommended to slow down: remind vehicles upstream of the accident site to slow down.

[0056] Road simulation evaluation index, the simulation evaluation data comes from the vehicle driving behavior information data in the simulation scheme of this system.

[0057] The simulation system supports multi-dimensional evaluation of simulation solutions. The simulation playback can be used to enter the evaluation of the selected solution. The platform needs to provide dynamic playback of road network traffic changes under the simulation solution configuration, as well as dynamic indicators of highway network areas, sections, toll stations, and entrances and exits. A playback progress bar is required to support changing the playback speed and playback progress through the progress bar to help users quickly obtain the road network and pay attention to the traffic dynamics of the road, thereby facilitating traffic optimization. At the same time, users can view the evaluation of the current simulation solution through the View Results button. The content of the report includes indicators such as average speed, average flow, and saturation in the simulation area.

[0058] The construction process of the traffic control strategy simulation program for Beijing-Harbin Expressway includes the description of highway traffic problems, model establishment, theoretical analysis, traffic control strategy selection, program design, data structure analysis and design, simulation result analysis, model calibration and correction, and simulation result output. The process is shown in the figure below.

[0059] Description of the traffic problem, determination of the traffic environment and conditions of the highway study section (composition of passenger cars, trucks, buses and unsaturated flow, saturated flow, etc.), control environment (signals, signs, route guidance, etc.), and the scale of the road network.

[0060] In the description stage of traffic problems, it is necessary to conduct an in-depth analysis of the traffic conditions on the highway to identify existing problems and bottlenecks. This includes collecting data such as traffic flow, vehicle speed, and accident rate, analyzing the causes and patterns of traffic congestion, and evaluating the effectiveness of existing traffic control strategies. A comprehensive description of traffic problems can provide a strong basis for the subsequent construction of simulation models and the selection of traffic control strategies.

[0061] Simulation model construction, the establishment of traffic simulation model is the core content of traffic simulation research. According to the description of the system, evaluation indicators and result requirements, the cause-effect relationship, constraint relationship, etc. within the system are abstracted into a mathematical model (relational expression or block diagram). The relational expression is deduced theoretically, and the block diagram is analyzed and refined. In the model building stage, it is necessary to build a simulation model that can reflect the actual operation of the highway based on the description of the traffic problem.

[0062] First, it is necessary to determine the boundaries and scope of the model, and clarify which factors need to be included in the model and which factors can be ignored. Then, based on the geometric characteristics, traffic flow, vehicle type and other information of the selected research section of the highway, a road network model, a vehicle behavior model, etc. are constructed to ensure that the selected model can reflect the actual traffic operation status, vehicle behavior and implementation effect of the traffic control strategy of the highway.

[0063] In addition, during the model building process, it is necessary to consider the balance between simulation accuracy and computational efficiency. On the one hand, the simulation accuracy needs to be improved as much as possible to more accurately reflect the actual operation of the highway; on the other hand, computational efficiency needs to be considered to ensure that the simulation process can be completed within a reasonable time.

[0064] The highway simulation model built for the control strategy selection supports the rehearsal analysis of abnormal conditions such as emergencies or construction plans. The simulation rehearsal for the event can output the impact on the road after the event occurs in advance. According to the analysis and prediction results of the road conditions around the event, the recommended strategy is recommended, and the strategy is supported for secondary input to create a new simulation plan, which is compared and analyzed with the simulation plan without strategy input, including ramp flow control, open emergency lanes, lane control (flow control / closure), and recommended detours. Combined with the simulation indicators and strategy library, the optimal recommended strategy is given. Including the pushed strategy name and strategy implementation information. The decision-making data includes: event information, road section static information, entrance and exit static information, simulation prediction indicators (queue length, speed)

[0065] Strategies include:

[0066] Entrance ramp flow control: Entrance ramp control controls entrance flow and improves traffic efficiency.

[0067] Open the emergency lane: Use the emergency lane as an evacuation channel to alleviate vehicle congestion.

[0068] Lane closure / speed limit: Lane-level control is implemented on the road sections upstream of the accident site.

[0069] Recommended detour: It is recommended that vehicles on the upstream sections of the accident site detour.

[0070] It is recommended to slow down: remind vehicles upstream of the accident site to slow down.

[0071] Programming and running, process-based refinement of the mathematical model of the research system according to the pre-selected programming language. Design the data structure and the type and format of the variables, and design and compile computer programs to convert the mathematical model into a computer simulation model or simulation software in combination with input, output, and operation rules. Use simulation software to perform operations on the system under study.

[0072] After selecting appropriate traffic control strategies, these strategies need to be converted into computer programs so that they can be tested in the simulation model. Programming and operation are the key links in the implementation of simulation solutions. It involves integrating models, strategies and data into a simulation system and running them on a computer to simulate the traffic operation of the highway.

[0073] In the process of programming, it is necessary to select appropriate programming languages ​​and development tools to realize the various functions of the simulation system according to the requirements of the model, including model initialization, import of traffic data, implementation of control strategies, output of simulation results, etc. At the same time, it is also necessary to ensure the stability and reliability of the program so as to accurately simulate the traffic conditions on the highway.

[0074] When analyzing and interpreting the simulation results, analysts must make it clear whether the simulation results can truly, reasonably and effectively reflect the traffic facility system being studied. After the simulation is completed, the simulation results need to be analyzed in depth to evaluate the effects of different traffic control strategies. This includes comparing indicators such as traffic flow, vehicle speed, and accident rate under different strategies, and analyzing the degree of influence of strategies on traffic conditions and the differences in their effects.

[0075] By analyzing the simulation results, we can find the optimal traffic control strategy, provide theoretical support and practical guidance for actual traffic control, and find out the problems and deficiencies in the simulation model, which can provide a basis for subsequent model verification and calibration.

[0076] Model calibration and verification: To ensure the reliability and validity of simulation results, the model should be verified. That is, the model should be modified and improved according to the calculation results and actual survey results, and the model parameters should be calibrated. The calibration of model parameters can ensure that the model can reflect the authenticity of the system. The quality of data will affect the validity of simulation output, and unreasonable input will lead to invalid output. Model verification is to quantify and finally calibrate these values, rather than easily accepting them.

[0077] Model verification and calibration is the last step in building a simulation solution, which involves verifying and adjusting the accuracy and reliability of the simulation model. During the model verification phase, it is necessary to compare the simulation results with the actual situation and analyze the differences and causes between the two. If there is a large difference between the simulation results and the actual situation, the model needs to be corrected and adjusted to improve its accuracy.

[0078] In the model calibration stage, the parameters in the model need to be calibrated based on the comparison between the simulation results and the actual situation, including adjusting the geometric parameters of the road network and the physical parameters of vehicle movement, so that the model can better reflect the actual operation of the highway.

[0079] Simulation data output and strategy effect evaluation;

[0080] Simulation output data, basic data output is the basic part of simulation data output, which records the most basic information during the simulation operation. Basic data usually includes:

[0081] Simulation time information: includes the start time, end time, and total duration of the simulation. The simulation time information helps to understand the time span and duration of the simulation.

[0082] Road network information: including geometric characteristics of the selected road, such as length, width, number of lanes, design speed, and topological structure information such as road connection relationship and intersection settings. Road network information helps to understand the road network on which the simulation is based.

[0083] Vehicle information: including vehicle type, quantity, initial position, initial speed, etc. Vehicle information is the core data in the simulation process, which reflects the distribution and driving status of vehicles in the simulation.

[0084] Traffic flow data, which is an important basis for evaluating the traffic conditions of highways, records the changes in traffic flow during the simulation. The specific output content includes:

[0085] Traffic flow data: includes traffic flow statistics in different time periods and on different road sections, reflecting the temporal and spatial distribution characteristics of traffic flow.

[0086] Speed ​​data: records the average speed, maximum speed, minimum speed and other data of the vehicle during the simulation process, reflecting the driving efficiency of the vehicle.

[0087] Density data: including vehicle density and lane occupancy rate on the road, which reflects the degree of congestion on the road.

[0088] Vehicle running trajectory data is an important part of the simulation data output. It records in detail the driving trajectory of each vehicle during the simulation process. It mainly includes real-time dynamic information such as the vehicle's position, speed, acceleration, and driving direction, which can accurately reflect the vehicle's movement status on the highway. By analyzing the vehicle running trajectory data, we can deeply understand the driving rules and characteristics of the vehicle, providing an important basis for optimizing traffic control strategies.

[0089] Traffic event data: During the simulation, various traffic events may occur, such as accidents, congestion, vehicle failures, etc. The event data output mainly records the time, location, type, and scope of impact of the event. By analyzing the event data, we can understand the traffic problems and their distribution during the simulation, and provide data support for the formulation of targeted traffic control strategies.

[0090] Traffic control strategy implementation data, strategy implementation data output is the key link in evaluating the effectiveness of traffic control strategies. It mainly records the specific information of various traffic control strategies implemented during the simulation process, including the type of strategy, implementation time, implementation location, implementation scope, and traffic changes after implementation. By analyzing the strategy implementation data, we can intuitively understand the impact of various strategies on traffic conditions, providing a direct reference for evaluating the effectiveness of control strategies.

[0091] Statistical analysis data, in addition to the above-mentioned specific simulation data, it is also necessary to conduct statistical analysis on the simulation results to form a more intuitive and easy-to-understand data form. These statistical analysis data may include traffic flow distribution diagrams, speed distribution diagrams, congestion indexes, accident rates, etc., which help to more comprehensively understand the operation status of the transportation system.

[0092] Strategy effect evaluation, construction of evaluation index system, in order to comprehensively and accurately evaluate the effect of traffic control strategy, it is necessary to build a scientific and reasonable evaluation index system. These indicators should cover traffic flow, vehicle speed, road occupancy, accident rate, delay time and other aspects to fully reflect the impact of traffic control strategy on highway operation.

[0093] Collection and processing of simulation data: During the simulation process, a large amount of real-time data needs to be collected, including dynamic information such as vehicle trajectory, speed, acceleration, and static information such as road conditions and traffic flow. These data are the basis for effect evaluation. At the same time, the data needs to be cleaned, sorted, and analyzed to extract valuable information.

[0094] Comparative analysis of strategy effects: By comparing simulation data under different traffic control strategies, the effectiveness of various strategies can be intuitively evaluated. For example, the impact of different strategies on traffic flow can be analyzed to compare their effects in alleviating congestion; the impact of different strategies on vehicle speed can also be analyzed to compare their effects in improving driving efficiency. This comparative analysis helps to select the optimal traffic control strategy.

[0095] Sensitivity analysis and optimization suggestions,Sensitivity analysis is a method to evaluate the responsiveness of traffic control strategies to changes in different factors. Through sensitivity analysis, we can understand the performance of the strategy under different traffic conditions and different time periods, so as to find out its potential problems and deficiencies. Based on the results of sensitivity analysis, targeted optimization suggestions can be put forward to further improve the traffic control strategy.

[0096] Visual display of evaluation results. To facilitate understanding and analysis of evaluation results, the results can be visualized in the form of charts, images, etc. For example, traffic flow distribution maps and speed distribution maps can be drawn to intuitively show the impact of traffic control strategies on traffic flow. This kind of visualization helps decision makers understand the effects of strategies more intuitively and make more scientific decisions.

[0097] Application and feedback of evaluation results. The application of evaluation results is the ultimate goal of the evaluation work. The evaluation results can provide strong support for the formulation and optimization of actual traffic control strategies. At the same time, it is also necessary to establish a feedback mechanism to collect data and information in actual operation in a timely manner, and compare and analyze them with simulation results to verify the accuracy and effectiveness of the evaluation results, and continuously improve and optimize the evaluation methods.

[0098] Simulation evaluation of traffic incident police-road linkage control strategy. Traffic incidents are derived from data provided by video monitoring algorithms and manual reporting.

[0099] Simulation plan, determine the simulation objectives, and need to clarify the main objectives of the simulation. Traffic event simulation is mainly used to evaluate the implementation effects of different traffic control strategies in response to specific traffic events, optimize traffic flow distribution, reduce congestion and accidents, etc., and provide a reference for the formulation of the optimal traffic control strategy.

[0100] Construct a traffic simulation model, and build a high-precision microscopic traffic network simulation model based on the actual road conditions and traffic conditions of the selected highway section. This includes modeling of elements such as roads, intersections, lanes, traffic signals, and setting of traffic parameters such as vehicle types and driving rules.

[0101] Set traffic events: According to the simulation objectives, set specific traffic events, such as traffic accidents, abnormal parking, spilled objects, etc. These events should be able to simulate various situations that may occur in actual traffic to verify the effectiveness of traffic control strategies.

[0102] Construction of the road-police linkage mechanism,In the simulation model, a road-police linkage mechanism is established to achieve information sharing and collaborative work between the traffic management department and the police. The road-police linkage process is set up, including information collection, analysis, decision-making and execution, to ensure that traffic control measures can be implemented in a timely and effective manner when responding to traffic incidents.

[0103] Design traffic control strategies. Design corresponding traffic control strategies according to the type and severity of traffic incidents. Traffic control strategies include limiting the flow of entrance ramps, opening emergency lanes, closing lanes / speed limits, recommending detours, and suggesting slowing down, etc., aiming to alleviate traffic congestion, reduce accident losses, and ensure road safety.

[0104] Configure simulation parameters, according to the simulation objectives and traffic control strategies, configure the corresponding simulation parameters. These parameters include simulation time, step size, vehicle generation rate, traffic demand distribution, etc., to ensure that the simulation process can truly reflect the actual traffic conditions.

[0105] Input parameters,Traffic network parameters include basic information such as road network structure, section length, number of lanes, intersection types, etc. These parameters are the basis for building a traffic network model and need to accurately reflect the actual situation of the highway.

[0106] Vehicle parameters include vehicle type, vehicle length, vehicle width, maximum speed, etc. These parameters affect the vehicle's driving performance and the operation of traffic flow, and need to be set according to actual conditions.

[0107] Traffic event parameters include the time, location, type, impact range, etc. These parameters are the key to simulating traffic events and need to be set according to actual traffic conditions.

[0108] Traffic control strategy parameters: For each traffic control strategy, corresponding parameters need to be set. For example, the speed limit strategy needs to set the speed limit value; the diversion strategy needs to set the diversion route and diversion ratio, etc. These parameters reflect the specific implementation and effect of the strategy.

[0109] Simulation operation parameters, including simulation time, step size, random number seed, etc. These parameters affect the simulation operation process and result output, and need to be reasonably configured according to the simulation objectives and computing resources.

[0110] Output parameters,Traffic flow parameters include traffic volume, average speed, road occupancy, etc. These parameters can reflect the impact of traffic control strategies on traffic flow and are important indicators for evaluating the effectiveness of strategies.

[0111] Event parameters include the time of the event, the location of the event, the number of accidents, the cause of the event, etc. These parameters can reflect the impact of traffic control strategies on traffic safety and are an important basis for evaluating the safety of strategies.

[0112] Delay parameters include vehicle delay time, travel time, etc. These parameters can reflect the impact of traffic control strategies on vehicle driving efficiency and are key indicators for evaluating strategy efficiency.

[0113] Queuing parameters record the length and time of the queues of vehicles at congested sections or traffic bottlenecks. These parameters can reflect the effect of traffic control strategies on alleviating congestion and are important indicators for evaluating the strategy's ability to relieve traffic congestion.

[0114] Strategy evaluation indicators are set according to the simulation objectives. These indicators can be quantitative, such as total delay time, total number of accidents, etc.; they can also be qualitative, such as driver satisfaction, traffic flow, etc. By analyzing these indicators, the effects of different traffic control strategies can be comprehensively evaluated.

[0115] Simulation evaluation of the road police linkage control strategy in the construction area. The construction area data comes from the video monitoring algorithm and the data provided by manual reporting.

[0116] Simulation plan, determine the simulation goals, before conducting simulation, first need to clarify the main simulation goals. For highway construction areas, simulation goals can include: evaluating the impact of different traffic control strategies on traffic flow in the construction area; analyzing the effectiveness of traffic control strategies in relieving congestion, reducing accidents, and improving road safety; providing strategy optimization suggestions for actual traffic management.

[0117] Constructing a traffic simulation model and a high-precision microscopic traffic network model are key steps in building a simulation solution. The model includes basic highway sections, intersections, lanes and other elements, as well as the specific location and scope of the construction area. In addition, it is also necessary to consider the impact of the construction area on traffic flow, such as lane closures, speed limits, diversions, etc.

[0118] Set the construction area. According to the actual construction situation, set the specific construction area, including the location, length, width and construction type (such as road maintenance, bridge construction, etc.) of the construction area. At the same time, it is also necessary to consider the degree and time range of the impact of the construction area on traffic flow.

[0119] Construction of the road-police linkage mechanism,In the simulation model, a road-police linkage mechanism is established to achieve information sharing and collaborative work between the traffic management department and the police.,Set up the road-police linkage process, including information collection, analysis, decision-making and execution, to ensure that traffic control measures can be implemented in a timely and effective manner under the conditions of the construction area.

[0120] Design traffic control strategies. Design different traffic control strategies for the construction area, which may include speed limit, diversion, traffic restriction, temporary traffic signal control, etc. When designing the strategy, it is necessary to fully consider the actual situation and traffic demand of the construction area to ensure the effectiveness and feasibility of the strategy.

[0121] Configure simulation parameters. According to the simulation objectives and traffic control strategies, configure the corresponding simulation parameters, including simulation time, step size, vehicle generation rate, traffic demand distribution, etc. Reasonable configuration of parameters is the key to ensure the accuracy of simulation results.

[0122] Input parameter requirements: Traffic network parameters include basic highway section length, number of lanes, intersection types, etc. In addition, the specific location, length, width and other parameters of the construction area are also required.

[0123] Vehicle parameters include vehicle type, vehicle length, vehicle width, maximum speed, etc. Vehicle parameters will affect the driving performance of the vehicle during the simulation.

[0124] Traffic demand parameters include traffic demand distribution in different time periods, vehicle generation rate, etc. These parameters reflect the traffic flow on the road during the simulation.

[0125] The construction area parameters include the location, length, width, construction type, construction time, etc. These parameters are the key to simulating the impact of the construction area in the simulation.

[0126] Traffic control strategy parameters: For each traffic control strategy, corresponding parameters need to be set. For example, the speed limit strategy needs to set the speed limit value; the diversion strategy needs to set the diversion route and diversion ratio, etc. Traffic control strategy parameters reflect the specific implementation method and effect of the strategy.

[0127] Simulation running parameters, including simulation time, step size, random number seed, etc., affect the simulation running process and result output.

[0128] Output parameters,Traffic flow parameters include traffic flow, average speed, road occupancy rate, etc. in the construction area and its surrounding sections. Traffic flow parameters can reflect the impact of traffic control strategies on traffic flow in the construction area.

[0129] Delay parameters include the delay time and travel time of vehicles in the construction area and its surrounding sections. Delay parameters can reflect the impact of traffic control strategies on vehicle driving efficiency.

[0130] Queuing parameters record the queue length and waiting time of vehicles at the entrance, exit and key sections of the construction area. Queuing and waiting parameters can reflect the effect of traffic control strategies on alleviating congestion.

[0131] Accident parameters include the number of accidents, accident types, and accident handling time that occurred during the simulation. Accident and safety parameters can reflect the impact of traffic control strategies on traffic safety in the construction area.

[0132] Strategy evaluation indicators are set according to the simulation objectives. These indicators can be quantitative, such as total delay time, total number of accidents, etc.; they can also be qualitative, such as driver satisfaction, traffic flow, etc. By analyzing these indicators, the effects of different traffic control strategies can be comprehensively evaluated.

[0133] Simulation evaluation of the road police linkage control strategy in severe weather. The severe weather data comes from the meteorological monitoring algorithm and the data provided by manual reporting.

[0134] Simulation plan, determine the simulation target, and set the simulation target under severe weather conditions to evaluate the impact of different traffic control strategies on highway traffic safety and traffic efficiency. Through simulation analysis, the aim is to find the most effective control strategy, reduce the impact of severe weather on vehicle operation, and ensure vehicle traffic safety.

[0135] Construct a traffic simulation model. According to the actual conditions of the road section under study, construct a traffic network model including basic sections, intersections, lanes, service areas and other elements. The model should reflect the road line shape, number of lanes, speed limit and other information in detail. At the same time, according to the simulation objectives, set the specific type and degree of bad weather, such as reduced visibility, slippery or icy road surface, etc.

[0136] Set bad weather and simulate different types of bad weather conditions by adjusting the parameters in the simulation software. For example, reduce visibility to simulate foggy weather; increase the friction coefficient of the road surface to simulate rainy and snowy weather; set the road surface to freeze to simulate freezing weather, etc. Ensure that bad weather conditions are truly reflected in the simulation process.

[0137] Construction of the road-police linkage mechanism,In the simulation model, a road-police linkage mechanism is established to achieve information sharing and collaborative work between traffic management departments and the police.,Set up the road-police linkage process, including information collection, analysis, decision-making and execution, to ensure that traffic control measures can be implemented in a timely and effective manner under severe weather conditions.

[0138] Design traffic control strategies. Design a variety of traffic control strategies for severe weather conditions, such as speed limits, lane closures, diversions, and traffic restrictions. Each strategy should be customized according to the type and severity of severe weather to ensure the effectiveness and feasibility of the strategy.

[0139] Configure simulation parameters. According to the simulation objectives and control strategies, reasonably configure simulation parameters, including simulation time, step length, vehicle generation rate, traffic demand distribution, etc. At the same time, set reasonable vehicle performance parameters, such as acceleration, deceleration, maximum speed, etc., to reflect the impact of bad weather on vehicle driving.

[0140] Input parameters,Traffic network parameters include the basic section length, number of lanes, intersection types, etc. of the highway. Traffic network parameters are the basis for building a traffic simulation model.

[0141] Vehicle parameters include vehicle type, vehicle length, vehicle width, maximum speed, acceleration, and deceleration. Vehicle parameters reflect the driving performance of the vehicle under adverse weather conditions. Adverse weather parameters set specific adverse weather types and degrees according to the simulation objectives. For example, the visibility range in foggy and hazy weather, the friction coefficient of the road surface in rainy and snowy weather, and the ice thickness in freezing weather. Traffic demand parameters include traffic demand distribution in different time periods, vehicle generation rate, etc., which reflect the traffic flow on the road during the simulation period and are of great significance for evaluating the effectiveness of control strategies.

[0142] Traffic control strategy parameters For each traffic control strategy, corresponding parameters are set. For example, the speed limit strategy needs to set the speed limit value; the lane closure strategy needs to set the closed lane and time; the diversion strategy needs to set the diversion route and diversion ratio, etc., which reflects the specific implementation method and effect of the strategy.

[0143] Output parameter requirements,traffic flow parameters include traffic flow, average speed, road occupancy rate under different weather conditions,,which can reflect the impact of traffic control strategies on highway traffic,flow.

[0144] Accident parameters include the number of accidents, accident types, and accident handling time that occurred during the simulation, which can directly reflect the impact of traffic control strategies on highway safety.

[0145] Delay parameters include vehicle delay time and travel time under adverse weather conditions, which can reflect the impact of traffic control strategies on vehicle driving efficiency.

[0146] Queuing parameters record the queue length and waiting time of vehicles at key sections and intersections, which can reflect the effect of traffic control strategies on alleviating congestion.

[0147] Strategy evaluation indicators are set according to the simulation objectives. These indicators can be quantitative, such as total delay time, total number of accidents, etc.; they can also be qualitative, such as driver satisfaction, traffic flow, etc. By analyzing these indicators, the effects of different traffic control strategies can be comprehensively evaluated.

Claims

1. A method for constructing an interactive simulation evaluation system for highway police linkage control strategy, characterized in that: include: Receive highway traffic problems, and build a highway simulation system model according to the highway traffic problems; Use the highway simulation system model to process the data and obtain the highway simulation results; Analyze the highway simulation results to obtain highway simulation results analysis results; If the analysis results of the highway simulation results are not satisfactory, the highway simulation system model will be modified; If the analysis results of the highway simulation results are satisfactory, the results will be output as highway simulation results.

2. The method for constructing an interactive simulation evaluation system for highway police linkage control strategy according to claim 1, characterized in that: The receiving of the highway traffic problem and constructing a highway simulation system model according to the highway traffic problem include: Cut the road network into a cell matrix, where each cell represents a 0.1-meter-long road segment, and generate the link relationship between road-segment-lane-cell; The highway simulation system model is used to reflect the number of lanes on the road section, the lane connection relationship, the geometric form of ramps, curves, slopes, and entrance and exit toll stations along the route.

3. The method for constructing an interactive simulation evaluation system for highway police linkage control strategy according to claim 1, characterized in that: The highway simulation system model is used to process the data to obtain the highway simulation result, including: Using historical traffic data, the highway simulation system model can predict traffic flow status in the next few minutes or longer periods.

4. The method for constructing an interactive simulation evaluation system for highway police linkage control strategy according to claim 1, characterized in that: The highway simulation result is analyzed to obtain the highway simulation result analysis result, including: Through roadside sensing equipment, traffic operation status information, meteorological conditions and road conditions are collected in real time to predict future traffic congestion trends, traffic accidents and abnormal traffic operation conditions after traffic incidents occur in complex road network environments.

5. The method for constructing an interactive simulation evaluation system for highway police linkage control strategy according to claim 1, characterized in that: Also includes: Establish a vehicle driving behavior model. Based on the L4 high-precision map, build models such as vehicle following, active lane changing, forced lane changing and ramp merging decision-making, conduct rehearsal analysis of emergencies or construction plans, and output the impact of the incident on the road. According to the analysis and prediction results of the road conditions around the incident, recommend ramp flow control, open emergency lanes, lane control, and recommend detour strategies.

6. The method for constructing an interactive simulation evaluation system for highway police-road linkage control strategy according to claim 1, characterized in that: Also includes: Highway traffic problems include traffic environment, conditions and control environment. Highway simulation system models include road network models and vehicle behavior models. Traffic control strategies are selected and designed. Traffic control strategies include entrance ramp flow control and opening emergency lanes. Compile and run programs to convert mathematical models into computer simulation models or software; Conduct in-depth analysis of simulation results and compare traffic flow, vehicle speed, and accident rate indicators under different strategies; According to the comparison between simulation results and actual situation, the model is verified and parameters are calibrated; Output simulation time information, road network information, vehicle information, and traffic flow data.

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