Highway variable speed limit management method and system based on real-time traffic flow

Abstract

The present invention relates to the field of highway control technology, and more specifically, to a method and system for managing variable speed limits on highways based on real-time traffic flow. The solution includes deploying sensors and monitoring equipment along the highway to collect traffic flow and vehicle speed in real time; cleaning and preprocessing the collected data to remove abnormal values ​​and noise; obtaining road design standards and historical communication data to calculate the optimal speed limit value; calculating the speed limit value and publishing it to the driver through a variable speed limit sign and an electronic display screen; continuously monitoring changes in traffic flow and the reduction of accident rates, and providing traffic feedback control parameters based on feedback; and performing online real-time control based on the traffic feedback control parameters to update the optimal speed limit value. The solution realizes variable speed limit management of highways with real-time traffic flow through continuous online optimization of the optimal speed limit prompt.

Description

Technical Field

[0001] The present invention relates to the technical field of highway control, and more specifically, to a method and system for managing variable speed limits on highways based on real-time traffic flow. Background Art

[0002] In the field of highway control, variable speed limit management based on real-time traffic flow is an innovative method that dynamically adjusts the maximum permissible speed of the road by utilizing advanced sensing technology, data analysis and communication systems. This method can not only effectively deal with traffic congestion and reduce the accident rate, but also improve the utilization rate of road capacity, thereby alleviating traffic pressure and improving overall traffic efficiency. Its significance lies in that it represents the development direction of intelligent transportation systems, can achieve refined management of traffic flow, and ensure both traffic safety and smoothness. Its importance is reflected in the fact that with the continuous increase in the number of vehicles, traditional static speed limit management has been difficult to meet modern traffic needs, and variable speed limit management can be flexibly adjusted according to real-time traffic conditions, providing drivers with a safer and more efficient driving environment, which is an indispensable part of the future smart city construction.

[0003] Prior to the present invention, the existing variable speed limit management methods for highways based on real-time traffic flow mainly adopted two methods: static speed limit value method and dynamic speed limit value method. Among them, the static speed limit value method is to preset a fixed speed limit value based on factors such as road design standards, historical traffic data and weather conditions. This method is simple but lacks flexibility and cannot cope with real-time changing traffic conditions. The dynamic speed limit value method is to determine the optimal speed limit value through algorithm calculation based on real-time collected traffic flow state parameters (such as traffic flow, vehicle speed, density, etc.) and road conditions, weather conditions and other data, and publish it using devices such as variable speed limit signs. However, the main challenges faced by the dynamic speed limit value method are the accuracy of traffic flow prediction and the real-time calculation of the control method. Due to the high complexity and uncertainty of traffic flow, accurately predicting the trend of traffic flow changes is a major problem. At the same time, in order to achieve real-time and effective speed limit control, an efficient algorithm is required to process massive data and quickly calculate the optimal speed limit value. In addition, the existing system also has many difficulties in data collection limitations, model verification difficulties and multi-objective optimization. Therefore, although the dynamic speed limit method has improved the traffic efficiency and safety of highways to a certain extent, further research and improvement are still needed to overcome these technical difficulties. Summary of the invention

[0004] In view of the above problems, the present invention proposes a method and system for managing variable speed limits on highways based on real-time traffic flow, which realizes variable speed limit management on highways based on real-time traffic flow through continuous online optimization of optimal speed limit prompts.

[0005] According to a first aspect of an embodiment of the present invention, a method for managing variable speed limits on highways based on real-time traffic flow is provided.

[0006] In one or more embodiments, preferably, the method for managing variable speed limits on highways based on real-time traffic flow includes:

[0007] Deploy sensors and monitoring equipment along highways to collect real-time data on traffic flow and vehicle speed;

[0008] Clean and preprocess the collected data to remove outliers and noise;

[0009] Obtain road design standards and historical communication data to calculate the optimal speed limit;

[0010] The calculated speed limit is issued to the driver through variable speed limit signs and electronic display screens;

[0011] Continuously monitor changes in traffic flow and reductions in accident rates, and provide traffic feedback control parameters based on feedback;

[0012] Based on the traffic feedback control parameters, online real-time control is performed to update the optimal speed limit value.

[0013] In one or more embodiments, preferably, the sensors and monitoring equipment are deployed along the highway to collect traffic flow and vehicle speed in real time, specifically including:

[0014] Determine the specific location where sensors and monitoring equipment need to be deployed through the geographic positioning system;

[0015] Install sensors and monitoring equipment at selected locations, and activate the sensors and monitoring equipment to monitor traffic flow and vehicle speed;

[0016] Perform data correction on sensors and monitoring equipment to form preliminary vehicle speed and sensor data.

[0017] In one or more embodiments, preferably, the cleaning and preprocessing of the collected data to remove outliers and noise specifically includes:

[0018] Importing the collected preliminary vehicle speed and sensor data into a data processing platform;

[0019] Conduct preliminary data quality checks, including checking data completeness, consistency, and correct format;

[0020] Identify outliers in the data, remove them, and fill in missing data by linear interpolation;

[0021] Kalman filtering is applied to reduce random noise in the data and then normalization is performed to form monitoring and early warning data, wherein the monitoring and early warning data is the traffic flow and vehicle speed obtained after normalization.

[0022] In one or more embodiments, preferably, the obtaining of road design standards and historical communication data to calculate the optimal speed limit value specifically includes:

[0023] Obtaining road design standards, wherein the road design standards include road type, number of lanes, lane width, slope and curvature, and then forming constraint conditions corresponding to the road design standards;

[0024] Based on the constraint conditions corresponding to the road design standard, online control is performed so that the speed limit values ​​at different locations of the road corresponding to the top 5% with the lowest probability of accident occurrence are used as a speed limit judgment history database;

[0025] The average traffic efficiency is compared using the first calculation formula according to the speed limit judgment history database, and the scheme with the highest traffic efficiency is extracted using the preset second calculation formula and set as the latest speed limit value;

[0026] The first calculation formula is:

[0027] Xavg=Min(Xi)

[0028] Among them, Xavg is the average traffic efficiency corresponding to the solution with the highest traffic efficiency, Min() is the function to extract the minimum value in the brackets, and Xi is the average traffic efficiency of the i-th solution in the speed limit judgment history database;

[0029] The second calculation formula is:

[0030] SX=Fj(Xavg)

[0031] Among them, SX is the nearest speed limit value, and Fj() is the mapping function between the most efficient solution and the nearest speed limit value at the j-th position.

[0032] In one or more embodiments, preferably, the calculated speed limit value is issued to the driver via a variable speed limit sign and an electronic display screen, specifically including:

[0033] transmitting the calculated optimal speed limit value from the central control system to one or more data processing centers;

[0034] After determining the optimum speed limit, convert it into a format suitable for display on variable speed limit signs and electronic displays;

[0035] Once the data is ready, control instructions can be sent to various variable speed limit signs and electronic displays via the wireless communication network.

[0036] In one or more embodiments, preferably, the continuously monitoring the change of traffic flow and the reduction of accident rate, and providing traffic feedback control parameters according to the feedback, specifically includes:

[0037] Based on the real-time monitoring data, the effectiveness of the current speed limit strategy is regularly evaluated using the third calculation formula;

[0038] Establish an effective feedback mechanism to allow drivers and other participants to report safety hazards on the road through mobile apps, websites or other channels, and make safety hazards a constraint;

[0039] Adding the constraint condition to the constraint condition corresponding to the road design standard;

[0040] The third calculation formula is:

[0041] sxg=lc×K1-SG×K2

[0042] Among them, sxg is the speed limit effect index, lc is the traffic flow, K1 is the first preset index, SG is the accident rate, and K2 is the second preset index.

[0043] In one or more embodiments, preferably, the online real-time control according to the traffic feedback control parameter to update the optimal speed limit value specifically includes:

[0044] Closely monitor changes in traffic flow and reductions in accident rates;

[0045] After adding the constraint conditions corresponding to the road design standard, re-updating the optimal speed limit value, if the fourth calculation formula is satisfied, recording it as an absolute update;

[0046] After the absolute update, the absolute update is solidified into the road design standard;

[0047] The fourth calculation formula is:

[0048] (SC>Y1) | (JB>Y2)

[0049] Among them, SC is the increase of traffic flow, Y1 is the preset first comparison margin, JB is the reduction ratio of accident rate, and Y2 is the preset second comparison margin.

[0050] According to a second aspect of an embodiment of the present invention, a variable speed limit management system for expressways based on real-time traffic flow is provided.

[0051] In one or more embodiments, preferably, the highway variable speed limit management system based on real-time traffic flow includes:

[0052] Multi-source data fusion module, used to deploy sensors and monitoring equipment along the highway to collect traffic flow and vehicle speed in real time;

[0053] Real-time monitoring and early warning module, used to clean and pre-process the collected data to remove outliers and noise;

[0054] Intelligent prediction and analysis module, which is used to obtain road design standards and historical communication data to calculate the optimal speed limit value;

[0055] A dynamic speed limit adjustment module is used to calculate the speed limit value and publish it to the driver through a variable speed limit sign and an electronic display screen;

[0056] The information release and feedback module is used to continuously monitor the changes in traffic flow and the reduction of accident rates, and to provide traffic feedback control parameters based on the feedback;

[0057] The system integrates an optimization module to perform online real-time control based on traffic feedback control parameters and update the optimal speed limit value.

[0058] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0059] According to a fourth aspect of an embodiment of the present invention, there is provided an electronic device, comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement any one of the methods described in the first aspect of the embodiment of the present invention.

[0060] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0061] In this solution, various types of sensors such as radars, cameras, infrared sensors and weather stations are used to comprehensively collect key information such as traffic flow, vehicle speed, lane occupancy and weather conditions along the highway, which helps to optimize traffic flow and improve overall traffic efficiency.

[0062] In this solution, the collected traffic flow data is classified and predicted, and continuous learning and model optimization enable the system to continuously adapt to the new traffic environment, improve prediction accuracy, reduce misjudgments and missed judgments, and improve the overall traffic management level.

[0063] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0064] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0066] Figure 1 The present invention is a flowchart of a method for managing variable speed limits on expressways based on real-time traffic flow according to an embodiment of the present invention.

[0067] Figure 2 The present invention is a flowchart of a method for managing variable speed limits on highways based on real-time traffic flow, in which sensors and monitoring equipment are deployed along the highway to collect traffic flow and vehicle speed in real time.

[0068] Figure 3 The present invention is a flowchart of cleaning and preprocessing the collected data and removing abnormal values ​​and noise in a method for managing variable speed limits on highways based on real-time traffic flow in one embodiment of the present invention.

[0069] Figure 4 The present invention is a flowchart of obtaining road design standards and historical communication data and calculating an optimal speed limit value in a method for managing a variable speed limit on a highway based on real-time traffic flow in one embodiment of the present invention.

[0070] Figure 5 The present invention is a flowchart of a method for managing a variable speed limit on a highway based on real-time traffic flow, in which a speed limit value is calculated and issued to a driver via a variable speed limit sign and an electronic display screen.

[0071] Figure 6 The present invention is a flow chart of a method for managing variable speed limits on highways based on real-time traffic flow, which continuously monitors changes in traffic flow and reductions in accident rates, and provides traffic feedback control parameters based on feedback.

[0072] Figure 7 The present invention is a flowchart of an embodiment of a method for managing a variable speed limit on a highway based on real-time traffic flow, which includes online real-time control based on traffic feedback control parameters to update an optimal speed limit value.

[0073] Figure 8 It is a structural diagram of a highway variable speed limit management system based on real-time traffic flow according to an embodiment of the present invention.

[0074] Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0075] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0076] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0077] In the field of highway control, variable speed limit management based on real-time traffic flow is an innovative method that dynamically adjusts the maximum permissible speed of the road by utilizing advanced sensing technology, data analysis and communication systems. This method can not only effectively deal with traffic congestion and reduce the accident rate, but also improve the utilization rate of road capacity, thereby alleviating traffic pressure and improving overall traffic efficiency. Its significance lies in that it represents the development direction of intelligent transportation systems, can achieve refined management of traffic flow, and ensure both traffic safety and smoothness. Its importance is reflected in the fact that with the continuous increase in the number of vehicles, traditional static speed limit management has been difficult to meet modern traffic needs, and variable speed limit management can be flexibly adjusted according to real-time traffic conditions, providing drivers with a safer and more efficient driving environment, which is an indispensable part of the future smart city construction.

[0078] Prior to the present invention, the existing variable speed limit management methods for highways based on real-time traffic flow mainly adopted two methods: static speed limit value method and dynamic speed limit value method. Among them, the static speed limit value method is to preset a fixed speed limit value based on factors such as road design standards, historical traffic data and weather conditions. This method is simple but lacks flexibility and cannot cope with real-time changing traffic conditions. The dynamic speed limit value method is to determine the optimal speed limit value through algorithm calculation based on real-time collected traffic flow state parameters (such as traffic flow, vehicle speed, density, etc.) and road conditions, weather conditions and other data, and publish it using devices such as variable speed limit signs. However, the main challenges faced by the dynamic speed limit value method are the accuracy of traffic flow prediction and the real-time calculation of the control method. Due to the high complexity and uncertainty of traffic flow, accurately predicting the trend of traffic flow changes is a major problem. At the same time, in order to achieve real-time and effective speed limit control, an efficient algorithm is required to process massive data and quickly calculate the optimal speed limit value. In addition, the existing system also has many difficulties in data collection limitations, model verification difficulties and multi-objective optimization. Therefore, although the dynamic speed limit method has improved the traffic efficiency and safety of highways to a certain extent, further research and improvement are still needed to overcome these technical difficulties.

[0079] In an embodiment of the present invention, a method and system for managing variable speed limits on highways based on real-time traffic flow are provided. The scheme realizes variable speed limit management on highways based on real-time traffic flow through continuous online optimization of optimal speed limit prompts.

[0080] According to a first aspect of an embodiment of the present invention, a method for managing variable speed limits on highways based on real-time traffic flow is provided.

[0081] Figure 1 The present invention is a flowchart of a method for managing variable speed limits on expressways based on real-time traffic flow according to an embodiment of the present invention.

[0082] In one or more embodiments, preferably, the method for managing variable speed limits on highways based on real-time traffic flow includes:

[0083] S101. Install sensors and monitoring equipment along the highway to collect real-time traffic flow and vehicle speed;

[0084] S102, cleaning and preprocessing the collected data to remove outliers and noise;

[0085] S103, obtaining road design standards and historical communication data, and calculating an optimal speed limit value;

[0086] S104, calculating the speed limit value and publishing it to the driver through a variable speed limit sign and an electronic display screen;

[0087] S105, continuously monitoring the change of traffic flow and the reduction of accident rate, and providing traffic feedback control parameters according to the feedback;

[0088] S106: Perform online real-time control according to traffic feedback control parameters to update the optimal speed limit value.

[0089] In the embodiment of the present invention, first, various sensors and monitoring equipment installed along the highway are used to collect key parameters of traffic flow, vehicle speed and density, as well as relevant information such as weather conditions and road conditions in real time. These data will serve as the basis for subsequent analysis and decision-making. Then, the collected data is cleaned and preprocessed to remove abnormal values ​​and noise; according to the real-time traffic flow status and prediction results, combined with road design standards and historical data, the optimal speed limit value is calculated using an optimization algorithm. This value must ensure traffic safety and take into account traffic efficiency, so it is necessary to balance and optimize between multiple goals. The calculated speed limit value is issued to drivers through variable speed limit signs, electronic display screens, etc., to remind them to comply with the new speed limit regulations. At the same time, relevant information can also be conveyed to the public through channels such as broadcasting and mobile phone APPs so that they can adjust their driving behavior in a timely manner; it is necessary to continuously monitor its effects, including indicators such as changes in traffic flow and reduction in accident rates. Finally, the above links are integrated into a unified platform to achieve centralized management and processing of data and improve the coordination and response speed of the system.

[0090] Figure 2 The present invention is a flowchart of a method for managing variable speed limits on highways based on real-time traffic flow, in which sensors and monitoring equipment are deployed along the highway to collect traffic flow and vehicle speed in real time.

[0091] like Figure 2 As shown, in one or more embodiments, preferably, the sensors and monitoring equipment are arranged along the highway to collect traffic flow and vehicle speed in real time, specifically including:

[0092] S201, determining the specific location where sensors and monitoring equipment need to be deployed through a geographic positioning system;

[0093] S202, installing sensors and monitoring equipment at the selected location, and starting the sensors and monitoring equipment to monitor traffic flow and vehicle speed;

[0094] S203: Correct the data of sensors and monitoring equipment to form preliminary vehicle speed and sensor data.

[0095] In an embodiment of the present invention, the specific locations where sensors and monitoring equipment need to be deployed are first determined through a geographic positioning system (GPS). For example, sensors and monitoring equipment can be set up at key nodes of highways, accident-prone areas, or traffic congestion areas. Then, radars, cameras, infrared sensors and other equipment are installed at selected locations and started to monitor traffic flow and vehicle speed. Next, the collected data is cleaned and preprocessed to remove outliers and noise to form preliminary vehicle speed and sensor data. Finally, the data is sent to a central control system for processing and analysis to provide real-time speed limit prompts to drivers.

[0096] Figure 3 The present invention is a flowchart of cleaning and preprocessing the collected data and removing abnormal values ​​and noise in a method for managing variable speed limits on highways based on real-time traffic flow in one embodiment of the present invention.

[0097] like Figure 3 As shown, in one or more embodiments, preferably, the collected data is cleaned and preprocessed to remove outliers and noise, specifically including:

[0098] S301, importing the collected preliminary vehicle speed and sensor data into a data processing platform;

[0099] S302. Conduct preliminary data quality checks, including checking the integrity, consistency and format correctness of the data;

[0100] S303, identifying outliers in the data, deleting the outliers, and filling in the missing data by linear interpolation;

[0101] S304, applying Kalman filtering to reduce random noise in the data and then performing normalization processing to form monitoring and early warning data, wherein the monitoring and early warning data is the traffic flow and vehicle speed obtained after the normalization processing.

[0102] In an embodiment of the present invention, the specific location where sensors and monitoring equipment need to be deployed is first determined by a geographic positioning system (GPS). For example, sensors and monitoring equipment can be set up at key nodes of highways, accident-prone areas, or traffic congestion areas. Then, radars, cameras, infrared sensors and other equipment are installed at selected locations, and these equipment are started to monitor traffic flow and vehicle speed. Next, the collected preliminary vehicle speed and sensor data are imported into a data processing platform; a preliminary data quality check is performed, including checking the integrity, consistency and format correctness of the data; outliers in the data are identified, deleted, and missing data are supplemented by linear interpolation; Kalman filtering is applied to reduce random noise in the data and then normalized to form monitoring and warning data, wherein the monitoring and warning data is the traffic flow and vehicle speed obtained after normalization. Finally, these data are sent to a central control system for processing and analysis to provide real-time speed limit prompts for drivers.

[0103] Figure 4 The present invention is a flowchart of obtaining road design standards and historical communication data and calculating an optimal speed limit value in a method for managing a variable speed limit on a highway based on real-time traffic flow in one embodiment of the present invention.

[0104] like Figure 4 As shown, in one or more embodiments, preferably, the obtaining of road design standards and historical communication data to calculate the optimal speed limit value specifically includes:

[0105] S401, obtaining a road design standard, wherein the road design standard includes road type, number of lanes, lane width, slope and curvature, and then forming a constraint condition corresponding to the road design standard;

[0106] S402, based on the constraint conditions corresponding to the road design standard, online control is performed so that the speed limit values ​​at different positions of the road corresponding to the top 5% with the lowest probability of accident occurrence are used as a speed limit judgment history database;

[0107] S403, comparing the average traffic efficiency using the first calculation formula according to the speed limit judgment history database, extracting the solution with the highest traffic efficiency using the preset second calculation formula, and setting it as the latest speed limit value;

[0108] The first calculation formula is:

[0109] Xavg=Min(Xi)

[0110] Among them, Xavg is the average traffic efficiency corresponding to the solution with the highest traffic efficiency, Min() is the function to extract the minimum value in the brackets, and Xi is the average traffic efficiency of the i-th solution in the speed limit judgment history database;

[0111] The second calculation formula is:

[0112] SX=Fj(Xavg)

[0113] Among them, SX is the nearest speed limit value, and Fj() is the mapping function between the most efficient solution and the nearest speed limit value at the j-th position.

[0114] In an embodiment of the present invention, a road design standard is obtained, and the road design standard includes road type, number of lanes, lane width, slope and curvature, so as to form a constraint condition corresponding to the road design standard. Based on the constraint condition corresponding to the road design standard, online control is performed so that the speed limit values ​​at different positions of the road corresponding to the top 5% with the lowest probability of accident occurrence are used as a speed limit judgment history database. According to the speed limit judgment history database, the average traffic efficiency is compared using the first calculation formula, and the scheme with the highest traffic efficiency is extracted using the preset second calculation formula and set as the nearest speed limit value. The first calculation formula is: Xavg=Min(Xi), where Xavg is the average traffic efficiency corresponding to the scheme with the highest traffic efficiency, Min() is a function for extracting the minimum value in the brackets, and Xi is the average traffic efficiency of the i-th scheme in the speed limit judgment history database. The second calculation formula is: SX=Fj(Xavg), where SX is the nearest speed limit value, and Fj() is a mapping function between the most efficient scheme and the nearest speed limit value at the j-th position. Finally, these data are sent to a central control system for processing and analysis to provide real-time speed limit prompts for drivers.

[0115] Figure 5 The present invention is a flowchart of a method for managing a variable speed limit on a highway based on real-time traffic flow, in which a speed limit value is calculated and issued to a driver via a variable speed limit sign and an electronic display screen.

[0116] like Figure 5 As shown, in one or more embodiments, preferably, the calculated speed limit value is issued to the driver through a variable speed limit sign and an electronic display screen, specifically including:

[0117] S501, transmitting the calculated optimal speed limit value from the central control system to one or more data processing centers;

[0118] S502, after determining the optimal speed limit value, converting it into a format suitable for display on a variable speed limit sign and an electronic display screen;

[0119] S503: Once the data is ready, the control instructions may be sent to various variable speed limit signs and electronic display screens via the wireless communication network.

[0120] In an embodiment of the present invention, the calculated speed limit value is issued to the driver through a variable speed limit sign and an electronic display screen. The calculated optimal speed limit value is transmitted from the central control system to one or more data processing centers; after the optimal speed limit value is determined, it is converted into a format suitable for display on the variable speed limit sign and the electronic display screen; once the data is ready, the control command can be sent to each variable speed limit sign and the electronic display screen through a wireless communication network.

[0121] Figure 6 The present invention is a flow chart of a method for managing variable speed limits on highways based on real-time traffic flow, which continuously monitors changes in traffic flow and reductions in accident rates, and provides traffic feedback control parameters based on feedback.

[0122] like Figure 6 As shown, in one or more embodiments, preferably, the continuous monitoring of changes in traffic flow and reduction in accident rate, and providing traffic feedback control parameters according to the feedback, specifically includes:

[0123] S601, based on the real-time monitoring data, regularly using the third calculation formula to evaluate the effectiveness of the current speed limit strategy;

[0124] S602. Establish an effective feedback mechanism to allow drivers and other participants to report safety hazards on the road through mobile apps, websites or other channels, and make safety hazards a constraint;

[0125] S603, adding the constraint condition to the constraint condition corresponding to the road design standard;

[0126] The third calculation formula is:

[0127] sxg=lc×K1-SG×K2

[0128] Among them, sxg is the speed limit effect index, lc is the traffic flow, K1 is the first preset index, SG is the accident rate, and K2 is the second preset index.

[0129] In an embodiment of the present invention, the changes in traffic flow and the reduction in accident rates are continuously monitored, and traffic feedback control parameters are given according to the feedback. Based on real-time monitoring data, the effectiveness of the current speed limit strategy is regularly evaluated using the third calculation formula; an effective feedback mechanism is established to allow drivers and other participants to report safety hazards on the road through mobile phone APP, websites or other channels, and the safety hazards are formed into constraints; the constraints are added to the constraints corresponding to the road design standards; the third calculation formula is: sxg=lc×K1-SG×K2, where sxg is the speed limit effect index, speed limit effect index=lc is the traffic flow, K1 is the first preset index, SG is the accident rate, and K2 is the second preset index.

[0130] Figure 7 The present invention is a flowchart of an embodiment of a method for managing a variable speed limit on a highway based on real-time traffic flow, which includes online real-time control based on traffic feedback control parameters to update an optimal speed limit value.

[0131] like Figure 7 As shown, in one or more embodiments, preferably, the online real-time control according to the traffic feedback control parameter to update the optimal speed limit value specifically includes:

[0132] S701. Closely monitor changes in traffic flow and reductions in accident rates;

[0133] S702, after adding the constraint condition corresponding to the road design standard, re-updating the optimal speed limit value, if the fourth calculation formula is satisfied, recording it as an absolute update;

[0134] S703, after the absolute update, solidify the absolute update into the road design standard;

[0135] The fourth calculation formula is:

[0136] (SC>Y1) | (JB>Y2)

[0137] Among them, SC is the increase of traffic flow, Y1 is the preset first comparison margin, JB is the reduction ratio of accident rate, and Y2 is the preset second comparison margin.

[0138] In the embodiment of the present invention, the optimal speed limit is updated according to the online real-time control of the traffic feedback control parameter. The changes in traffic flow and the reduction of accident rate are closely monitored; after adding the constraint conditions corresponding to the road design standard, the optimal speed limit is re-updated, and if the fourth calculation formula is met, it is recorded as an absolute update; after the absolute update, the absolute update is solidified into the road design standard; the fourth calculation formula is: (SC>Y1)|(JB>Y2), where SC is the increment of traffic flow, Y1 is the preset first comparison margin, JB is the reduction ratio of the accident rate, and Y2 is the preset second comparison margin.

[0139] According to a second aspect of an embodiment of the present invention, a variable speed limit management system for expressways based on real-time traffic flow is provided.

[0140] Figure 8 It is a structural diagram of a highway variable speed limit management system based on real-time traffic flow according to an embodiment of the present invention.

[0141] In one or more embodiments, preferably, the highway variable speed limit management system based on real-time traffic flow includes:

[0142] The multi-source data fusion module 801 is used to deploy sensors and monitoring equipment along the highway to collect traffic flow and vehicle speed in real time;

[0143] The real-time monitoring and early warning module 802 is used to clean and pre-process the collected data to remove abnormal values ​​and noise;

[0144] Intelligent prediction and analysis module 803, used to obtain road design standards and historical communication data to calculate the optimal speed limit value;

[0145] A dynamic speed limit adjustment module 804, used to calculate the speed limit value and publish it to the driver through a variable speed limit sign and an electronic display screen;

[0146] The information release feedback module 805 is used to continuously monitor the changes in traffic flow and the reduction of accident rates, and to provide traffic feedback control parameters according to the feedback;

[0147] The system integration optimization module 806 is used for online real-time control according to traffic feedback control parameters to update the optimal speed limit value.

[0148] In the embodiment of the present invention, a system suitable for different structures is realized through a series of modular designs. The system can achieve closed-loop, reliable and efficient execution through collection, analysis and control.

[0149] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0150] According to a fourth aspect of an embodiment of the present invention, an electronic device is provided. Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. Fig. 9 The electronic device shown is a universal variable speed limit management device for highways based on real-time traffic flow. Fig. 9 The electronic device may be a smart phone, a tablet computer, or the like. The electronic device 900 includes a processor 901 and a memory 902. The processor 901 is electrically connected to the memory 902.

[0151] Processor 901 is the control center of electronic device 900. It uses various interfaces and lines to connect various parts of the entire electronic device, executes various functions of the electronic device and processes data by running or calling computer programs stored in memory 902, and calling data stored in memory 902, thereby monitoring the electronic device as a whole.

[0152] In this embodiment, the processor 901 in the electronic device 900 will load the instructions corresponding to the processes of one or more computer programs into the memory 902 according to the following steps, and the processor 901 will run the computer program stored in the memory 902 to achieve various functions, such as: deploying sensors and monitoring equipment along the highway to collect traffic flow and vehicle speed in real time; cleaning and preprocessing the collected data to remove abnormal values ​​and noise; obtaining road design standards and historical communication data to calculate the optimal speed limit; calculating the speed limit and issuing it to the driver through a variable speed limit sign and an electronic display screen; continuously monitoring changes in traffic flow and the reduction in accident rate, and providing traffic feedback control parameters based on feedback; online real-time control based on the traffic feedback control parameters to update the optimal speed limit.

[0153] In some embodiments, the electronic device 900 may further include: a display 903, a radio frequency circuit 904, an audio circuit 905, a wireless fidelity module 906, and a power supply 907. The display 903, the radio frequency circuit 904, the audio circuit 905, the wireless fidelity module 906, and the power supply 907 are electrically connected to the processor 901, respectively.

[0154] The display 903 may be used to display information input by a user or information provided to a user and various graphical user interfaces, which may be composed of graphics, text, icons, videos, and any combination thereof. The display 903 may include a display panel, and in some embodiments, the display panel may be configured in the form of a liquid crystal display (LCD) or an organic light-emitting diode (OLED).

[0155] The radio frequency circuit 904 can be used to send and receive radio frequency signals, so as to establish wireless communication with a network device or other electronic devices through wireless communication, and to send and receive signals between the network device or other electronic devices.

[0156] The audio circuit 905 can be used to provide an audio interface between a user and the electronic device through a speaker and a microphone.

[0157] The wireless fidelity module 906 can be used for short-range wireless transmission, and can help users to send and receive emails, browse websites, and access streaming media, etc. It provides users with wireless broadband Internet access.

[0158] The power supply 907 may be used to supply power to various components of the electronic device 900. In some embodiments, the power supply 907 may be logically connected to the processor 901 through a power management system, so that the power management system can manage charging, discharging, power consumption, and other functions.

[0159] although Fig. 9 Not shown, the electronic device 900 may also include a camera, a Bluetooth module, etc., which will not be described in detail here.

[0160] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0161] In this solution, various types of sensors such as radars, cameras, infrared sensors and weather stations are used to comprehensively collect key information such as traffic flow, vehicle speed, lane occupancy and weather conditions along the highway, which helps to optimize traffic flow and improve overall traffic efficiency.

[0162] In this solution, the collected traffic flow data is classified and predicted, and continuous learning and model optimization enable the system to continuously adapt to the new traffic environment, improve prediction accuracy, reduce misjudgments and missed judgments, and improve the overall traffic management level.

[0163] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program codes.

[0164] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0165] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0166] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0167] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for managing variable speed limits on highways based on real-time traffic flow, characterized in that: The method includes: Deploy sensors and monitoring equipment along highways to collect real-time data on traffic flow and vehicle speed; Clean and preprocess the collected data to remove outliers and noise; Obtain road design standards and historical communication data to calculate the optimal speed limit; The calculated speed limit is issued to the driver through variable speed limit signs and electronic display screens; Continuously monitor changes in traffic flow and reductions in accident rates, and provide traffic feedback control parameters based on feedback; Online real-time control based on traffic feedback control parameters to update the optimal speed limit value; The obtaining of road design standards and historical communication data to calculate the optimal speed limit value specifically includes: Obtaining road design standards, wherein the road design standards include road type, number of lanes, lane width, slope and curvature, and then forming constraint conditions corresponding to the road design standards; Based on the constraint conditions corresponding to the road design standard, online control is performed so that the speed limit values ​​at different locations of the road corresponding to the top 5% with the lowest probability of accident occurrence are used as a speed limit judgment history database; The average traffic efficiency is compared using the first calculation formula according to the speed limit judgment history database, and the scheme with the highest traffic efficiency is extracted using the preset second calculation formula and set as the latest speed limit value; The first calculation formula is: Xavg=Min(Xi) Among them, Xavg is the average traffic efficiency corresponding to the solution with the highest traffic efficiency, Min() is the function to extract the minimum value in the brackets, and Xi is the average traffic efficiency of the i-th solution in the speed limit judgment history database; The second calculation formula is: SX=Fj(Xavg) Among them, SX is the nearest speed limit value, and Fj() is the mapping function between the most efficient solution and the nearest speed limit value at the j-th position.

2. The method for managing variable speed limits on highways based on real-time traffic flow as claimed in claim 1, characterized in that: The sensors and monitoring equipment are deployed along the expressway to collect real-time traffic flow and vehicle speed, specifically including: Determine the specific location where sensors and monitoring equipment need to be deployed through the geographic positioning system; Install sensors and monitoring equipment at selected locations, and activate the sensors and monitoring equipment to monitor traffic flow and vehicle speed; Perform data correction on sensors and monitoring equipment to form preliminary vehicle speed and sensor data.

3. The method for managing variable speed limits on highways based on real-time traffic flow as claimed in claim 1, characterized in that: The collected data is cleaned and preprocessed to remove outliers and noise, specifically including: Importing the collected preliminary vehicle speed and sensor data into a data processing platform; Conduct preliminary data quality checks, including checking data completeness, consistency, and correct format; Identify outliers in the data, remove them, and fill in missing data by linear interpolation; Kalman filtering is applied to reduce random noise in the data and then normalization is performed to form monitoring and early warning data, wherein the monitoring and early warning data is the traffic flow and vehicle speed obtained after normalization.

4. The method for managing variable speed limits on highways based on real-time traffic flow as claimed in claim 1, characterized in that: The calculated speed limit value is issued to the driver via a variable speed limit sign and an electronic display screen, specifically including: transmitting the calculated optimal speed limit value from the central control system to one or more data processing centers; After determining the optimum speed limit, convert it into a format suitable for display on variable speed limit signs and electronic displays; Once the data is ready, control instructions can be sent to various variable speed limit signs and electronic displays via the wireless communication network.

5. The method for managing variable speed limits on highways based on real-time traffic flow as claimed in claim 1, characterized in that: The continuous monitoring of changes in traffic flow and reductions in accident rates, and providing traffic feedback control parameters based on feedback, specifically include: Based on the real-time monitoring data, the effectiveness of the current speed limit strategy is regularly evaluated using the third calculation formula; Establish an effective feedback mechanism to allow drivers and other participants to report safety hazards on the road through mobile apps, websites or other channels, and make safety hazards a constraint; Adding the constraint condition to the constraint condition corresponding to the road design standard; The third calculation formula is: sxg=lc×K1-SG×K2 Among them, sxg is the speed limit effect index, lc is the traffic flow, K1 is the first preset index, SG is the accident rate, and K2 is the second preset index.

6. The method for managing variable speed limits on highways based on real-time traffic flow as claimed in claim 1, characterized in that: The online real-time control based on the traffic feedback control parameters to update the optimal speed limit value specifically includes: Closely monitor changes in traffic flow and reductions in accident rates; After adding the constraint conditions corresponding to the road design standard, re-updating the optimal speed limit value, if the fourth calculation formula is satisfied, recording it as an absolute update; After the absolute update, the absolute update is solidified into the road design standard; The fourth calculation formula is: (SC>Y1) | (JB>Y2) Among them, SC is the increase of traffic flow, Y1 is the preset first comparison margin, JB is the reduction ratio of accident rate, and Y2 is the preset second comparison margin.

7. A variable speed limit management system for highways based on real-time traffic flow, characterized in that: The system is used to implement the method according to any one of claims 1 to 6, and the system comprises: Multi-source data fusion module, used to deploy sensors and monitoring equipment along the highway to collect traffic flow and vehicle speed in real time; Real-time monitoring and early warning module, used to clean and pre-process the collected data to remove outliers and noise; Intelligent prediction and analysis module, which is used to obtain road design standards and historical communication data to calculate the optimal speed limit value; A dynamic speed limit adjustment module is used to calculate the speed limit value and publish it to the driver through a variable speed limit sign and an electronic display screen; The information release and feedback module is used to continuously monitor the changes in traffic flow and the reduction of accident rates, and to provide traffic feedback control parameters based on the feedback; The system integrates an optimization module to perform online real-time control based on traffic feedback control parameters and update the optimal speed limit value.

8. A computer-readable storage medium storing computer program instructions, characterized in that: The computer program instructions implement the method according to any one of claims 1 to 6 when executed by a processor.

9. An electronic device, comprising a memory and a processor, characterized in that: The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method according to any one of claims 1-6.

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