Research on the Congestion Evolution Characteristics of Expressway Weaving Area Based on Trajectory Data
Studying the time-varying relationship between macro traffic flow parameters and traffic state during the evolution of congestion can provide scientific basis for the identification of traffic state in the weaving area of expressway.After extracting ve-hicle trajectory data from high-definition video by YOLO algorithm,the original trajectory data is denoised and smoothed by Kal-man filter.This paper analyzes the time-varying characteristics of macro traffic flow parameters such as speed,flow and density and traffic state in the congestion evolution of expressway weaving area,and reveals the time-varying characteristics of macro traf-fic flow parameters in the congestion evolution of expressway weaving area.The results indicate that integrating indicators such as average travel speed and traffic flow density can effectively improve the accuracy of traffic state discrimination in the weaving area of expressway.
expressway weaving areacongestion evolutiontrajectory datamacro traffic flow parameterstraffic state
万方数据
维普
