Road planning and management method, system and medium based on equivalent traffic volume

Abstract

The present application provides a road planning and management method, system and medium based on equivalent traffic volume. The method includes: obtaining traffic volume data of various types of vehicles on the target road within a time period, processing in combination with the equivalent conversion coefficient, obtaining the total equivalent traffic volume data, processing in combination with the road design capacity data, obtaining the traffic capacity matching index, obtaining the average travel speed data and the delay index data, processing to obtain the traffic fluency index, obtaining the accident feature data, processing in combination with the number of conflict points on the target road, obtaining the traffic safety index, processing according to the traffic capacity matching index, the traffic fluency index and the traffic safety index, obtaining the road load adaptability index, and taking corresponding adjustment and optimization measures, thereby realizing the technology of road planning and management based on equivalent traffic volume.

Description

Technical Field

[0001] The present application relates to the technical field of road planning and management, and in particular, to a road planning and management method, system and medium based on equivalent traffic volume. Background Art

[0002] With the rapid development of cities, traffic demand continues to grow, and urban roads are facing increasingly severe pressure, especially trucks. Due to their large size and weight, there is a risk of overloading, which has a greater impact on roads. Traditional road load assessment methods often simply consider the number of vehicles, but ignore the differences between different types of vehicles in terms of road space occupation, degree of damage to road facilities, and interference with traffic operations. This leads to inaccurate assessment results and makes it difficult to effectively guide road planning, construction and management decisions.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of the present application is to provide a road planning and management method, system and medium based on equivalent traffic volume, which can obtain the total equivalent traffic volume data of the target road within a time period through processing, and combine it with the road design capacity data for processing to obtain the traffic capacity matching index, obtain the average travel speed data and the delay index data, process to obtain the traffic smoothness index, obtain the accident characteristic data, and combine it with the number of conflict points data of the target road for processing to obtain the traffic safety index, and process it according to the traffic capacity matching index, the traffic smoothness index and the traffic safety index to obtain the road load-bearing adaptability index, and take corresponding adjustment and optimization measures to realize the technology of road planning and management based on equivalent traffic volume.

[0005] The present application also provides a road planning and management method based on equivalent traffic volume, comprising the following steps: Obtaining traffic volume data of various types of vehicles on a target road within a preset time period, performing statistical processing in combination with corresponding equivalent conversion coefficients, and obtaining total equivalent traffic volume data of the target road; Acquire geometric feature data and design feature data of the target road, and process to obtain road design capacity data; The traffic capacity matching index is obtained by processing the total equivalent traffic volume data in combination with the road design capacity data; Obtaining average travel speed data and delay index data of the target road within the preset time period, and processing to obtain a traffic fluency index; Acquire accident characteristic data of the target road within the preset time period, and process the data in combination with the number of conflict points on the target road to obtain a traffic safety index; The traffic capacity matching index, traffic fluency index and traffic safety index are processed to obtain the road load adaptation index, and corresponding adjustment and optimization measures are taken.

[0006] Optionally, in the road planning and management method based on equivalent traffic volume described in the present application, the traffic volume data of each type of vehicles on the target road within a preset time period is obtained, and statistical processing is performed in combination with the corresponding equivalent conversion coefficient to obtain the total equivalent traffic volume data of the target road, including: Obtain structural characteristic data and performance design characteristic data corresponding to each type of vehicle; The structural characteristic data includes vehicle length data, vehicle width value data and vehicle height data; The performance design characteristic data includes acceleration data, maximum vehicle speed data and turning radius data; According to the vehicle length data, the vehicle width value data and the vehicle height data, the acceleration data, the maximum speed data and the turning radius data are processed to obtain the equivalent conversion coefficient corresponding to each type of vehicle; The traffic volume data of each type of vehicles on the target road within a preset time period is obtained, and statistical processing is performed in combination with the corresponding equivalent conversion coefficient to obtain the total equivalent traffic volume data of the target road.

[0007] Optionally, in the road planning and management method based on equivalent traffic volume described in the present application, the step of obtaining the geometric feature data and the design feature data of the target road and processing to obtain the road design capacity data includes: Acquiring geometric feature data and design feature data of the target road; The geometric feature data includes lane width data, lane number data, lateral clearance data and minimum curve radius data; The design feature data includes road grade data and design speed data; The lane width data, the number of lanes data, the lateral clearance data and the minimum curve radius data are processed in combination with the road grade data and the design speed data to obtain the road design capacity data.

[0008] Optionally, in the road planning and management method based on equivalent traffic volume described in the present application, the processing of the total equivalent traffic volume data in combination with the road design capacity data to obtain the traffic capacity matching index includes: Processing the total equivalent traffic volume data in combination with the road design capacity data to obtain road saturation data; Acquire the actual equivalent traffic volume data and lane design capacity data corresponding to each lane of the target road within the preset time period, and process to obtain lane utilization rate data corresponding to each lane; The road saturation data is processed in combination with lane utilization data corresponding to each lane to obtain a traffic capacity matching index.

[0009] Optionally, in the road planning and management method based on equivalent traffic volume described in the present application, the step of obtaining the average travel speed data and delay index data of the target road within the preset time period and processing to obtain the traffic fluency index includes: Acquire the actual vehicle travel time data, vehicle free flow travel time data and traffic flow change rate data of the target road within the preset time period, and process them in combination with the equivalent traffic volume data to obtain delay index data; The average travel speed data of the target road within the preset time period is obtained, and the data is combined with the delay index data for processing to obtain a traffic fluency index.

[0010] Optionally, in the road planning and management method based on equivalent traffic volume described in the present application, the traffic capacity matching index, traffic fluency index and traffic safety index are processed to obtain a road load adaptability index, and corresponding adjustment and optimization measures are taken, including: Obtaining a road load adaptability index by processing the traffic capacity matching index, the traffic fluency index and the traffic safety index; Comparing the road load-bearing adaptability index with a preset road load-bearing adaptability threshold to obtain a threshold comparison result; Judging whether the load adaptation of the target road is reasonable according to the threshold comparison result; If the threshold comparison result is less than the preset threshold, the load adaptation of the target road is unreasonable and corresponding adjustment and optimization measures need to be taken.

[0011] In a second aspect, the present application provides a road planning and management system based on equivalent traffic volume, the system comprising: a memory and a processor, the memory comprising a program of a road planning and management method based on equivalent traffic volume, the program of the road planning and management method based on equivalent traffic volume being executed by the processor to implement the following steps: Obtaining traffic volume data of various types of vehicles on a target road within a preset time period, performing statistical processing in combination with corresponding equivalent conversion coefficients, and obtaining total equivalent traffic volume data of the target road; Acquire geometric feature data and design feature data of the target road, and process to obtain road design capacity data; The traffic capacity matching index is obtained by processing the total equivalent traffic volume data in combination with the road design capacity data; Obtaining average travel speed data and delay index data of the target road within the preset time period, and processing to obtain a traffic fluency index; Acquire accident characteristic data of the target road within the preset time period, and process the data in combination with the number of conflict points on the target road to obtain a traffic safety index; The traffic capacity matching index, traffic fluency index and traffic safety index are processed to obtain the road load adaptation index, and corresponding adjustment and optimization measures are taken.

[0012] Optionally, in the road planning and management system based on equivalent traffic volume described in the present application, the traffic volume data of each type of vehicles on the target road within a preset time period is obtained, and statistical processing is performed in combination with the corresponding equivalent conversion coefficient to obtain the total equivalent traffic volume data of the target road, including: Obtain structural characteristic data and performance design characteristic data corresponding to each type of vehicle; The structural characteristic data includes vehicle length data, vehicle width value data and vehicle height data; The performance design characteristic data includes acceleration data, maximum vehicle speed data and turning radius data; According to the vehicle length data, the vehicle width value data and the vehicle height data, the acceleration data, the maximum speed data and the turning radius data are processed to obtain the equivalent conversion coefficient corresponding to each type of vehicle; The traffic volume data of each type of vehicles on the target road within a preset time period is obtained, and statistical processing is performed in combination with the corresponding equivalent conversion coefficient to obtain the total equivalent traffic volume data of the target road.

[0013] Optionally, in the road planning and management system based on equivalent traffic volume described in the present application, the step of obtaining the geometric feature data and the design feature data of the target road and processing to obtain the road design capacity data includes: Acquiring geometric feature data and design feature data of the target road; The geometric feature data includes lane width data, lane number data, lateral clearance data and minimum curve radius data; The design feature data includes road grade data and design speed data; The lane width data, the number of lanes data, the lateral clearance data and the minimum curve radius data are processed in combination with the road grade data and the design speed data to obtain the road design capacity data.

[0014] In the third aspect, the present application also provides a computer-readable storage medium, which stores a road planning and management method program based on equivalent traffic volume. When the road planning and management method program based on equivalent traffic volume is executed by a processor, the steps of the road planning and management method based on equivalent traffic volume as described in any one of the above items are implemented.

[0015] As can be seen from the above, the road planning and management method, system and medium based on equivalent traffic volume provided by the present application obtain the traffic volume data of various types of vehicles on the target road within a preset time period, and perform statistical processing in combination with the corresponding equivalent conversion coefficient to obtain the total equivalent traffic volume data of the target road, obtain the geometric feature data and design feature data of the target road, process to obtain the road design capacity data, and process according to the total equivalent traffic volume data in combination with the road design capacity data to obtain the traffic capacity matching index, obtain the average travel speed data and delay index data of the target road within a preset time period, process to obtain the traffic fluency index, obtain the accident feature data of the target road within the preset time period, and process in combination with the number of conflict points data of the target road to obtain the traffic safety index, process according to the traffic capacity matching index, the traffic fluency index and the traffic safety index to obtain the road load adaptability index, and take corresponding adjustment and optimization measures, thereby realizing the technology of road planning and management based on equivalent traffic volume.

[0016] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flow chart of a road planning and management method based on equivalent traffic volume provided in an embodiment of the present application; Figure 2 A flow chart of obtaining total equivalent traffic volume data in a road planning and management method based on equivalent traffic volume provided in an embodiment of the present application; Figure 3A flow chart of obtaining road design capacity data for a road planning and management method based on equivalent traffic volume provided in an embodiment of the present application; Figure 4 A flow chart of obtaining a traffic capacity matching index for a road planning and management method based on equivalent traffic volume provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0020] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0021] Please refer to Figure 1 , Figure 1 Flow chart of a road planning and management method based on equivalent traffic volume in some embodiments of the present application. The road planning and management method based on equivalent traffic volume is used in a terminal device, such as a computer, a mobile phone terminal, etc. The road planning and management method based on equivalent traffic volume includes the following steps: S11, acquiring traffic volume data of various types of vehicles on a target road within a preset time period, performing statistical processing in combination with corresponding equivalent conversion coefficients, and obtaining total equivalent traffic volume data of the target road; S12, obtaining geometric feature data and design feature data of the target road, and processing to obtain road design capacity data; S13, processing the total equivalent traffic volume data in combination with the road design capacity data to obtain a traffic capacity matching index; S14, obtaining average travel speed data and delay index data of the target road in the preset time period, and processing to obtain a traffic fluency index; S15, acquiring accident characteristic data of the target road within the preset time period, and processing the data in combination with the number of conflict points of the target road to obtain a traffic safety index; S16. Processing is performed according to the traffic capacity matching index, traffic fluency index and traffic safety index to obtain a road load adaptability index, and corresponding adjustment and optimization measures are taken.

[0022] It should be noted that with the rapid development of cities, traffic demand continues to grow, and urban roads are facing increasingly severe pressure, especially trucks. Due to their large size and weight, there is a risk of overloading, which has a greater impact on roads. Traditional road load assessment methods often simply consider the number of vehicles, but ignore the differences between different types of vehicles in terms of road space occupation, degree of damage to road facilities, and interference with traffic operations. This leads to inaccurate assessment results and makes it difficult to effectively guide road planning, construction, and management decisions. Since equivalent traffic volume can comprehensively consider the occupation of road resources and traffic impact of different types of vehicles (such as cars, buses, trucks, etc.), especially for trucks, the truck record data can be obtained and converted into truck equivalent to determine the truck traffic volume of the section. It can also be converted into overload equivalent to determine the degree of overloading of the section. In particular, it can be used to analyze the traffic safety factor of bridges and provide assistance for more accurate road load adaptation assessment. To this end, it is necessary to seek a method based on equivalent traffic volume. A road planning and management method based on traffic flow is used to solve the above problems. In this embodiment, firstly, traffic volume data of various types of vehicles on a target road within a preset time period are obtained, and statistical processing is performed in combination with the corresponding equivalent conversion coefficient to obtain the total equivalent traffic volume data of the target road, obtain the geometric feature data and design feature data of the target road, and process to obtain the road design capacity data. According to the total equivalent traffic volume data, the road design capacity data is processed to obtain the traffic capacity matching index, the average travel speed data and delay index data of the target road within a preset time period are obtained, and the traffic smoothness index is obtained. The accident feature data of the target road within the preset time period are obtained, and the traffic safety index is obtained in combination with the conflict point number data of the target road. According to the traffic capacity matching index, the traffic smoothness index and the traffic safety index, the road load adaptability index is obtained, and corresponding adjustment and optimization measures are taken, thereby realizing the technology of road planning and management based on equivalent traffic volume.

[0023] Please refer to Figure 2 , Figure 2The flowchart of obtaining the total equivalent traffic volume data of the road planning and management method based on equivalent traffic volume in some embodiments of the present application. According to the embodiment of the present invention, the traffic volume data of each type of vehicle on the target road within a preset time period is obtained, and statistical processing is performed in combination with the corresponding equivalent conversion coefficient to obtain the total equivalent traffic volume data of the target road, including: S21, obtaining structural characteristic data and performance design characteristic data corresponding to each type of vehicle; S22, the structural feature data includes vehicle length data, vehicle width value data and vehicle height data; S23, the performance design characteristic data includes acceleration data, maximum vehicle speed data and turning radius data; S24, processing the vehicle length data, the vehicle width data, and the vehicle height data in combination with the acceleration data, the maximum speed data, and the turning radius data to obtain an equivalent conversion coefficient corresponding to each type of vehicle; S25. Obtain traffic volume data of each type of vehicles on the target road within a preset time period, perform statistical processing in combination with the corresponding equivalent conversion coefficient, and obtain equivalent total traffic volume data of the target road.

[0024] It should be noted that equivalent traffic volume is the conversion of actual mixed traffic flow (including various types of vehicles) into the traffic volume of a certain standard vehicle model. This is because different types of vehicles (such as cars, medium-sized buses, large trucks, etc.) have different occupancy levels on traffic facilities (such as roads, bridges, etc.), their impact on traffic operation efficiency, and their contribution to traffic load. By converting various vehicles into equivalent traffic volumes of standard vehicles, it is more convenient to carry out traffic planning, design, management and evaluation. Determining the conversion coefficients corresponding to different vehicle models is the key to calculating equivalent traffic volume. Therefore, the structural characteristic data and performance design characteristic data corresponding to each type of vehicle are obtained, wherein the structural characteristic data include vehicle length, vehicle width value and vehicle height data, and the performance design characteristic data include acceleration, maximum speed and turning radius data. Finally, the equivalent conversion coefficients corresponding to each type of vehicle are obtained by processing the above data. On the other hand, the traffic volume data of each type of vehicle on the target road within a preset time period are obtained, multiplied by the equivalent conversion coefficient corresponding to each type of vehicle, and then added and statistically processed to obtain the total equivalent traffic volume data of the target road; Wherein, the calculation formula of the equivalent conversion coefficient is: ; in, is the equivalent conversion coefficient corresponding to the i-th type of vehicle among the n types of vehicles, , , They are the vehicle length data, vehicle width data, and vehicle height data corresponding to the i-th type of vehicle among the n types of vehicles. , They are the acceleration data and maximum speed data corresponding to the i-th type of vehicle among the n types of vehicles, is the turning radius data corresponding to the i-th type of vehicle among n types of vehicles, , , , , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset road planning and management database); It is worth mentioning that the calculation method of this equivalent conversion coefficient is obtained by calling, deducing, and translating the professional calculation software and tools in this field in this technical solution. The various parameters and characteristic coefficients in the formula can be obtained by querying the data source or data mapping table of the third-party preset road planning and management database. In this embodiment, for example, the vehicle length data, vehicle width value data, vehicle height data, acceleration data, maximum speed data, and turning radius data corresponding to a small car can all be measured and called according to the application scenario of this technical solution. For example, in this embodiment, the vehicle length of a small car is measured and queried to be 4.0m, the vehicle width is 1.6m, the vehicle height is 1.5m, and the acceleration is 2.8m / s 2 , the maximum speed is 55m / s, the turning radius is 6m, and the characteristic coefficient is obtained by querying the mapping table in the database. , , , , , The corresponding values ​​are 0.5, 0.4, 0.6, 0.8, 1.1, and 0.12 respectively.

[0025] Please refer to Figure 3 , Figure 3 The flowchart of the road planning and management method based on equivalent traffic volume in some embodiments of the present application for obtaining road design capacity data. According to the embodiment of the present invention, the step of obtaining the geometric feature data and design feature data of the target road and processing the obtained road design capacity data includes: S31, obtaining geometric feature data and design feature data of the target road; S32, the geometric feature data includes lane width data, lane number data, lateral clearance data and minimum curve radius data; S33, the design feature data includes road grade data and design speed data; S34. Processing the lane width data, the number of lanes data, the lateral clearance data and the minimum curve radius data in combination with the road grade data and the design speed data to obtain the road design capacity data.

[0026] It should be noted that the capacity of the road itself determines the upper limit of the road's capacity. In order to evaluate the traffic conditions of the target road, it is necessary to accurately calculate the road's design capacity. Therefore, the geometric feature data and design feature data of the target road are obtained. The geometric feature data include lane width, number of lanes, lateral clearance and minimum curve radius data. The lateral clearance refers to the distance between the edge of the road and obstacles (such as guardrails, buildings, trees, etc.). The design feature data includes road grade and design speed data. Then, the above data are processed to obtain the road design capacity data. The calculation formula of the road design capacity data is: ; in, Design capacity data for roads, , , , They are lane width data, lane number data, lateral clearance data, and minimum curve radius data. , They are road grade data and design speed data respectively. , , , , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset road planning and management database); It is worth mentioning that the calculation method of the road design capacity data is obtained by calling, deducing, and translating the professional calculation software and tools in this field in this technical solution. The various parameters and characteristic coefficients in the formula can be obtained by querying the data source or data mapping table of the third-party preset road planning and management database. In this embodiment, for example, the data values ​​of lane width data, number of lanes data, lateral clearance data, minimum curve radius data, road grade data, and design speed data can be measured, pre-designed, or adaptively acquired according to the application scenario of this technical solution. For example, in this embodiment, the lane width of a target road is measured and queried to be 3.5m, the number of lanes is 4, the lateral clearance is 4m, and the minimum curve radius is 4.5m / s 2 , the road grade is 1, the design speed is 28m / s, and the characteristic coefficient is obtained by querying the mapping table in the database. , , , , , The corresponding values ​​are 0.6, 0.65, 0.65, 0.7, 2.5, and 0.25 respectively.

[0027] Please refer to Figure 4 , Figure 4 The flowchart of the road planning and management method based on equivalent traffic volume in some embodiments of the present application is to obtain the traffic capacity matching index. According to the embodiment of the present invention, the total equivalent traffic volume data is processed in combination with the road design capacity data to obtain the traffic capacity matching index, including: S41, processing the total equivalent traffic volume data in combination with the road design capacity data to obtain road saturation data; S42, obtaining the actual equivalent traffic volume data and lane design capacity data corresponding to each lane of the target road within the preset time period, and processing to obtain lane utilization rate data corresponding to each lane; S43. Process the road saturation data in combination with lane utilization data corresponding to each lane to obtain a traffic capacity matching index.

[0028] It should be noted that to judge whether the design and planning of roads are reasonable, it is necessary to evaluate the traffic capacity first. To this end, it is necessary to understand the road saturation and the utilization rate of each lane. Among them, road saturation refers to the ratio of the actual equivalent traffic volume to the road design capacity. In addition, the actual equivalent traffic volume of each lane in a unit time is counted, and the utilization rate of each lane is calculated (the actual equivalent traffic volume of the lane / the design capacity of the lane). The road saturation data is combined with the lane utilization data corresponding to each lane to obtain the traffic capacity matching index; The calculation formula of the traffic capacity matching index is: ; in, is the traffic capacity matching index, is the road saturation data, for The lane utilization data corresponding to the jth lane among the lanes, , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset road planning and management database); It is worth mentioning that the calculation method of the traffic capacity matching index is obtained by calling, deducing and translating the professional computing software and tools in this field in this technical solution. The various parameters and characteristic coefficients in the formula can be obtained by querying the data source or data mapping table of the third-party preset road planning and management database. In this embodiment, for example, the data values ​​of road saturation data and lane utilization data can be calculated and obtained according to the above-mentioned calculation method based on the measurement and call of real-time data of the application scenario of this technical solution. For example, in this embodiment, the road saturation of the target road in the specified time period is measured and queried to be 0.5m, and the lane utilization rates corresponding to the four lanes are 0.8, 0.8, 0.85 and 0.7 respectively. The characteristic coefficients are obtained by querying the mapping table of the database. The value of is 1.2, The corresponding values ​​are,1.5, 1.5, 1.6, and 1.45 respectively.

[0029] According to an embodiment of the present invention, the step of obtaining the average travel speed data and the delay index data of the target road within the preset time period and processing to obtain the traffic fluency index includes: Acquire the actual vehicle travel time data, vehicle free flow travel time data and traffic flow change rate data of the target road within the preset time period, and process them in combination with the equivalent traffic volume data to obtain delay index data; The average travel speed data of the target road within the preset time period is obtained, and the data is combined with the delay index data for processing to obtain a traffic fluency index.

[0030] It should be noted that, on the other hand, traffic fluency is also one of the important factors for evaluating whether road planning is reasonable. For this, it is necessary to first obtain the delay index. Therefore, the actual vehicle travel time, vehicle free flow travel time and traffic flow change rate data of the target road within the preset time period are obtained, and the data are combined with the total equivalent traffic volume data of the road to obtain the delay index data, which is further combined with the average travel speed data within the preset time period to obtain the traffic fluency index. The calculation formula of the delay index data is: ; in, is the delay index data, , , , They are the actual vehicle travel time data, vehicle free flow travel time data, traffic flow change rate data, and equivalent traffic volume data. , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset road planning and management database); It is worth mentioning that the calculation method of the delay index data is obtained by calling, deducing and translating the professional computing software and tools in the field. The various parameters and characteristic coefficients in the formula can be obtained by querying the data source or data mapping table of the third-party preset road planning and management database. In this embodiment, for example, the data values ​​of the actual vehicle travel time data, the vehicle free flow travel time data, the traffic flow change rate data and the equivalent traffic volume data can be measured and adaptively obtained by calling means according to the application scenario of the technical solution. For example, in this embodiment, the actual vehicle travel time of the target road in the specified time period is measured and queried to be 4.5h, the vehicle free flow travel time is 0.5h, the traffic flow change rate is 1.5, and the equivalent traffic volume is 1500. The characteristic coefficient is obtained by querying the mapping table of the database. , The corresponding values ​​are 1.3 and 0.05 respectively.

[0031] The calculation formula of the traffic fluency index is: ; in, is the traffic flow index, , They are average travel speed data and delay index data, , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset road planning and management database); It is worth mentioning that the calculation method of the traffic fluency index is obtained by calling, deducing, and translating the professional computing software and tools in this field in this technical solution. The various parameters and characteristic coefficients in the formula can be obtained by querying the data source or data mapping table of the third-party preset road planning and management database. In this embodiment, for example, the data values ​​of the average travel speed data can be measured or called according to the application scenario of the present technical solution. For example, in this embodiment, the average travel speed data of the target road in the specified time period is measured and queried to be 30m / s, the delay index data is calculated by the above-mentioned corresponding calculation formula, and the characteristic coefficient is obtained by querying the mapping table of the database.

[0032] According to an embodiment of the present invention, the traffic capacity matching index, the traffic fluency index and the traffic safety index are processed to obtain a road load adaptability index, and corresponding adjustment and optimization measures are taken, including: Obtaining a road load adaptability index by processing the traffic capacity matching index, the traffic fluency index and the traffic safety index; Comparing the road load-bearing adaptability index with a preset road load-bearing adaptability threshold to obtain a threshold comparison result; Judging whether the load adaptation of the target road is reasonable according to the threshold comparison result; If the threshold comparison result is less than the preset threshold, the load adaptation of the target road is unreasonable and corresponding adjustment and optimization measures need to be taken.

[0033] It should be noted that the road load adaptation index is obtained by processing the obtained traffic capacity matching index, traffic smoothness index and traffic safety index, and compared with the preset road load adaptation threshold. If the threshold comparison result is less than the preset threshold, it indicates that the load adaptation of the target road is unreasonable and corresponding adjustment and optimization measures need to be taken; The calculation formula of the road load adaptability index is: ; in, is the road load-bearing adaptability index, , , They are traffic capacity matching index, traffic fluency index, and traffic safety index. , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset road planning and management database); It is worth mentioning that the calculation method of the road bearing adaptability index is obtained by calling, deducing and translating the professional computing software and tools in this field based on this technical solution. The traffic capacity matching index, traffic fluency index and traffic safety index are calculated by the corresponding calculation formulas in the manual, and the characteristic coefficient is obtained by querying the mapping table in the database.

[0034] According to an embodiment of the present invention, it also includes: The acquiring of accident characteristic data of the target road within the preset time period and processing the data in combination with the number of conflict points of the target road to obtain a traffic safety index specifically includes: Acquiring accident characteristic data of the target road within the preset time period, including accident occurrence rate data and average processing response time data; Obtaining the data on the number of conflict points on the target road, combining the data on the accident rate and the data on the average processing response time to obtain a traffic safety index; The calculation formula of the traffic safety index is: ; in, is the traffic safety index, is the number of conflict points, , They are accident rate data and average processing response time data. , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset road planning and management database); It is worth mentioning that the calculation method of the traffic safety index is obtained by calling, deducing and translating the professional computing software and tools in this field in this technical solution. The various parameters and characteristic coefficients in the formula can be obtained by querying the data source or data mapping table of the third-party preset road planning and management database. In this embodiment, the data values ​​of the number of conflict points, accident rate data, and average processing response time data can be measured or obtained by calling the third-party database according to the application scenario of the present technical solution. For example, in this embodiment, the measurement and query obtain the number of conflict points of the target road in the specified time period as 500, the accident rate data as 0.00001, and the average processing response time data as 0.5h, and the characteristic coefficient is obtained by querying the mapping table of the database. , The corresponding values ​​are 0.2 and 2.5 respectively.

[0035] It should be noted that traffic safety indicators are also a major factor in reflecting whether a road is reasonable. If traffic accidents often occur on a certain road, it means that there are problems in the planning and management of the road and improvement is needed. The accident characteristic data of the target road within a preset time period is obtained, including accident rate data and average processing response time data, and combined with the number of conflict points data of the target road for processing to obtain the traffic safety index. Among them, the conflict situation between traffic flows in different directions can be analyzed at road intersections or confluence and divergence points, and the number of conflict points can be counted.

[0036] According to an embodiment of the present invention, it also includes: Acquire the public transportation service level data and pedestrian service level data of the target road within the preset time period; The bus service level data includes average data of bus operating speed, average data of bus punctuality rate and average data of bus full load rate; The pedestrian service level data includes pedestrian maximum waiting time data, sidewalk minimum effective width data and maximum pedestrian flow data; The traffic service level index is obtained by processing the average data of bus operating speed, the average data of bus punctuality and the average data of bus full load rate in combination with the maximum pedestrian waiting time data, the minimum effective width of the sidewalk and the maximum pedestrian flow data; Correcting the road load-bearing adaptability index according to the traffic service level index to obtain a road design rationality index; Comparing the road design rationality index with a preset road design rationality threshold to obtain a threshold comparison result; Judging whether the design and planning of the target road are reasonable according to the threshold comparison result; If the threshold comparison result is less than the preset threshold, the design and planning of the target road are unreasonable and corresponding adjustment measures need to be taken; The calculation formula of the traffic service level index is: ; in, is the traffic service level index, , , They are the average data of bus operating speed, the average data of bus punctuality, and the average data of bus full load rate. , , They are the maximum waiting time data for pedestrians, the minimum effective width data for sidewalks, and the maximum pedestrian flow data. , , , , , , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset road planning and management database); It is worth mentioning that the calculation method of the traffic service level index is obtained by calling, deducing and translating the professional computing software and tools in this field in this technical solution. The various parameters and characteristic coefficients in the formula can be obtained by querying the data source or data mapping table of the third-party preset road planning and management database. In this embodiment, the data values ​​of the average bus operating speed, the average bus punctuality, the average bus load rate, the maximum pedestrian waiting time, the minimum effective sidewalk width and the maximum pedestrian flow data can be measured or obtained by calling the third-party database according to the application scenario of the present technical solution. For example, in this embodiment, the average bus operating speed data of the target road in the specified time period is measured and queried to be 8m / s, the average bus punctuality data is 0.85, the average bus load rate data is 0.8, the maximum pedestrian waiting time data is 100s, the minimum effective sidewalk width data is 3m, and the maximum pedestrian flow data is 10. The characteristic coefficient is obtained by querying the mapping table of the database. , , , , , , , The corresponding values ​​are 0.6, 0.2, 0.05, 0.55, 0.5, 0.02, 0.6, and 0.15 respectively.

[0037] The calculation formula of the road design rationality index is: ; in, is the road design rationality index, , They are road load adaptability index and traffic service level index. is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset road planning and management database);

[0038] It is worth mentioning that the calculation method of the road design rationality index is obtained by calling, deducing and translating the professional computing software and tools in this field based on the technical solution. In this embodiment, the road bearing adaptability index and the traffic service level index are calculated by the corresponding calculation formulas in the specification, and the characteristic coefficient is obtained by querying the mapping table of the database.

[0039] It should be noted that, in addition, the bus service and pedestrian traffic conditions in the area also indirectly reflect the planning status of the road, including bus operating speed, bus punctuality, bus load rate, as well as pedestrian traffic light waiting time, effective sidewalk width and pedestrian flow. Finally, according to the average data of bus operating speed, average data of bus punctuality and average data of bus load rate, combined with the maximum pedestrian waiting time data, the minimum effective sidewalk width data and the maximum pedestrian flow data, the traffic service level index is obtained. Furthermore, the road bearing adaptability index is corrected according to the traffic service level index to obtain the road design rationality index, which is then compared with the preset road design rationality threshold to obtain the threshold comparison result. According to the result, it is judged whether the design and planning of the target road are reasonable. If the threshold comparison result is less than the preset threshold, the design and planning of the target road are unreasonable, and corresponding adjustment measures need to be taken.

[0040] A third aspect of the present invention provides a readable storage medium, which stores a road planning and management method program based on equivalent traffic volume. When the road planning and management method program based on equivalent traffic volume is executed by a processor, the steps of the road planning and management method based on equivalent traffic volume as described in any one of the above items are implemented.

[0041] The road planning and management method, system and medium based on equivalent traffic volume disclosed in the present invention obtain traffic volume data of various types of vehicles on a target road within a preset time period, perform statistical processing in combination with corresponding equivalent conversion coefficients, obtain the total equivalent traffic volume data of the target road, obtain geometric feature data and design feature data of the target road, process to obtain the road design capacity data, process according to the total equivalent traffic volume data in combination with the road design capacity data to obtain the traffic capacity matching index, obtain the average travel speed data and delay index data of the target road within a preset time period, process to obtain the traffic fluency index, obtain the accident feature data of the target road within the preset time period, process in combination with the target road conflict point quantity data to obtain the traffic safety index, process according to the traffic capacity matching index, the traffic fluency index and the traffic safety index to obtain the road load adaptability index, and take corresponding adjustment and optimization measures, thereby realizing the technology of road planning and management based on equivalent traffic volume.

[0042] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0043] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0044] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0045] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0046] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A road planning and management method based on equivalent traffic volume, characterized in that: The following steps are involved: Obtaining traffic volume data of various types of vehicles on a target road within a preset time period, performing statistical processing in combination with corresponding equivalent conversion coefficients, and obtaining total equivalent traffic volume data of the target road; Acquire geometric feature data and design feature data of the target road, and process to obtain road design capacity data; The traffic capacity matching index is obtained by processing the total equivalent traffic volume data in combination with the road design capacity data; Obtaining average travel speed data and delay index data of the target road within the preset time period, and processing to obtain a traffic fluency index; Acquire accident characteristic data of the target road within the preset time period, and process the data in combination with the number of conflict points of the target road to obtain a traffic safety index; The traffic capacity matching index, traffic fluency index and traffic safety index are processed to obtain the road load adaptation index, and corresponding adjustment and optimization measures are taken.

2. The road planning and management method based on equivalent traffic volume according to claim 1 is characterized in that: The acquiring of the traffic volume data of each type of vehicles on the target road within a preset time period, and performing statistical processing in combination with the corresponding equivalent conversion coefficient to obtain the total equivalent traffic volume data of the target road, includes: Obtain structural characteristic data and performance design characteristic data corresponding to each type of vehicle; The structural characteristic data includes vehicle length data, vehicle width value data and vehicle height data; The performance design characteristic data includes acceleration data, maximum vehicle speed data and turning radius data; According to the vehicle length data, the vehicle width value data and the vehicle height data, the acceleration data, the maximum speed data and the turning radius data are processed to obtain the equivalent conversion coefficient corresponding to each type of vehicle; The traffic volume data of each type of vehicles on the target road within a preset time period is obtained, and statistical processing is performed in combination with the corresponding equivalent conversion coefficient to obtain the total equivalent traffic volume data of the target road.

3. The road planning and management method based on equivalent traffic volume according to claim 2 is characterized in that: The step of acquiring the geometric feature data and the design feature data of the target road and processing to obtain the road design capacity data includes: Acquiring geometric feature data and design feature data of the target road; The geometric feature data includes lane width data, lane number data, lateral clearance data and minimum curve radius data; The design feature data includes road grade data and design speed data; The lane width data, the number of lanes data, the lateral clearance data and the minimum curve radius data are processed in combination with the road grade data and the design speed data to obtain the road design capacity data.

4. The road planning and management method based on equivalent traffic volume according to claim 3 is characterized in that: The process of processing the total equivalent traffic volume data in combination with the road design capacity data to obtain a traffic capacity matching index includes: Processing the total equivalent traffic volume data in combination with the road design capacity data to obtain road saturation data; Acquire the actual equivalent traffic volume data and lane design capacity data corresponding to each lane of the target road within the preset time period, and process to obtain lane utilization rate data corresponding to each lane; The road saturation data is processed in combination with lane utilization data corresponding to each lane to obtain a traffic capacity matching index.

5. The road planning and management method based on equivalent traffic volume according to claim 4 is characterized in that: The step of obtaining the average travel speed data and the delay index data of the target road within the preset time period and processing to obtain the traffic fluency index includes: Acquire the actual vehicle travel time data, vehicle free flow travel time data and traffic flow change rate data of the target road within the preset time period, and process them in combination with the equivalent traffic volume data to obtain delay index data; The average travel speed data of the target road within the preset time period is obtained, and the data is combined with the delay index data for processing to obtain a traffic fluency index.

6. The road planning and management method based on equivalent traffic volume according to claim 5 is characterized in that: The processing is performed according to the traffic capacity matching index, the traffic fluency index and the traffic safety index to obtain the road load adaptability index, and corresponding adjustment and optimization measures are taken, including: Obtaining a road load adaptability index by processing the traffic capacity matching index, the traffic fluency index and the traffic safety index; Comparing the road load-bearing adaptability index with a preset road load-bearing adaptability threshold to obtain a threshold comparison result; Judging whether the load adaptation of the target road is reasonable according to the threshold comparison result; If the threshold comparison result is less than the preset threshold, the load adaptation of the target road is unreasonable and corresponding adjustment and optimization measures need to be taken.

7. The road planning and management system based on equivalent traffic volume is characterized by: The system includes: a memory and a processor, wherein the memory includes a program of a road planning and management method based on equivalent traffic volume, and when the program of the road planning and management method based on equivalent traffic volume is executed by the processor, the following steps are implemented: Obtaining traffic volume data of various types of vehicles on a target road within a preset time period, performing statistical processing in combination with corresponding equivalent conversion coefficients, and obtaining total equivalent traffic volume data of the target road; Acquire geometric feature data and design feature data of the target road, and process to obtain road design capacity data; The traffic capacity matching index is obtained by processing the total equivalent traffic volume data in combination with the road design capacity data; Obtaining average travel speed data and delay index data of the target road within the preset time period, and processing to obtain a traffic fluency index; Acquire accident characteristic data of the target road within the preset time period, and process the data in combination with the number of conflict points of the target road to obtain a traffic safety index; The traffic capacity matching index, traffic fluency index and traffic safety index are processed to obtain the road load adaptation index, and corresponding adjustment and optimization measures are taken.

8. The road planning and management system based on equivalent traffic volume according to claim 7 is characterized in that: The acquiring of the traffic volume data of each type of vehicles on the target road within a preset time period, and performing statistical processing in combination with the corresponding equivalent conversion coefficient to obtain the total equivalent traffic volume data of the target road, includes: Obtain structural characteristic data and performance design characteristic data corresponding to each type of vehicle; The structural characteristic data includes vehicle length data, vehicle width value data and vehicle height data; The performance design characteristic data includes acceleration data, maximum vehicle speed data and turning radius data; According to the vehicle length data, the vehicle width value data and the vehicle height data, the acceleration data, the maximum speed data and the turning radius data are processed to obtain the equivalent conversion coefficient corresponding to each type of vehicle; The traffic volume data of each type of vehicles on the target road within a preset time period is obtained, and statistical processing is performed in combination with the corresponding equivalent conversion coefficient to obtain the total equivalent traffic volume data of the target road.

9. The road planning and management system based on equivalent traffic volume according to claim 8, characterized in that: The step of acquiring the geometric feature data and the design feature data of the target road and processing to obtain the road design capacity data includes: Acquiring geometric feature data and design feature data of the target road; The geometric feature data includes lane width data, lane number data, lateral clearance data and minimum curve radius data; The design feature data includes road grade data and design speed data; The lane width data, the number of lanes data, the lateral clearance data and the minimum curve radius data are processed in combination with the road grade data and the design speed data to obtain the road design capacity data.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a road planning and management method program based on equivalent traffic volume. When the road planning and management method program based on equivalent traffic volume is executed by a processor, the steps of the road planning and management method based on equivalent traffic volume as described in any one of claims 1 to 6 are implemented.

Images