Method for realizing intersection lane index fusion processing based on traffic flow and occupancy information

Abstract

The invention relates to a method for realizing intersection lane index fusion processing based on a traffic flow and occupancy information. The method comprises the steps: inputting basic data, and collecting the flow of a lane group and the average occupancy of the lane group through an electronic police; converting the lane group flow into saturations of corresponding lanes, converting the saturations into traffic indexes according to road service levels, and converting the occupancy into the traffic indexes; and calculating and judging a ratio of the traffic indexes converted from saturations to the traffic indexes converted from the occupancy, and calculating the final traffic index according to different conditions. The method for realizing the intersection lane index fusion processing based on the traffic flow and the occupancy information is adopted, and the method belongs to a traffic state research and judgment method of urban lamp control intersections. A good effect is achieved in practical engineering project application, a fusion index model based on the flow and the occupancy as the indexes is established in different traffic states, and a problem that the traffic state is inaccurately researched and judged due to a fact that quality of the occupancy collected by a traffic information collection system is not high is avoided.

Description

technical field [0001] The invention relates to the field of traffic management, in particular to the field of real-time traffic analysis, and specifically refers to a method for realizing fusion processing of intersection lane indices based on traffic flow and occupancy rate information. Background technique [0002] The real-time traffic status of the intersection environment is of great significance to traffic managers and traffic travelers. In the intelligent transportation system, the research on the research and judgment algorithm of the traffic state has been continuously in-depth and uninterrupted. These algorithms usually collect basic road information and traffic data, analyze and process them through certain mathematical methods, and compare the output results with an established traffic state discrimination standard to determine the current traffic state. [0003] At present, a large number of researched algorithm models use the two indicators of queue length an...

AI Technical Summary

Problems solved by technology

[0003] At present, a large number of researched algorithm models use the two indicators of queue length and average speed to judge the traffic state. Traditional traffic information collection equipment is not easy to obtain the two types of data, queue length and average speed. It is also very low; in addition, there are many algorithm models that calculate the saturation through traffic flow, and judge the traffic status of the intersection lane by the size of the saturation. For the situation of oversaturated and congested intersections, the saturation cannot judge the traffic status of the intersection and the intersection lane; there are also Model research uses occupancy rate to represent the traffic status of intersection lanes. The reality is that the occupancy rate data obtained by the traffic information collection system is not high in quality. Using a single indicator of occupancy rate to judge the traffic status of intersection lanes obviously does not meet the needs of the project

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