Research On Traffic Operation Law And Optimization Control Method Of Urban Expressway Weaving Area

The discrimination of urban traffic operation state and the analysis of temporal and spatial characteristics are important theoretical basis for urban traffic congestion control.The existing research on the identification index of traffic operation state is single,and due to the problem of data source,it can not give good consideration to the real-time performance of traffic data,so the identification of real-time traffic operation state needs further research;for the analysis of the spatio-temporal evolution characteristics of traffic operation state,the existing research mostly measures from the correlation index,and lacks the research on the traffic operation of different sections Directional research on the correlation between states.Therefore,based on the online map data,this paper discriminates the urban traffic operation state,and analyzes its temporal and spatial influence relationship,and constructs the mining model of the temporal and spatial influence relationship of urban traffic operation state.First of all,this paper briefly introduces the types of online map data used in this paper,namely situation information and real-time road map,and briefly expounds the methods of data acquisition and processing.The spatial-temporal distribution characteristics of the average travel speed and the spatial-temporal characteristics of the data are analyzed.It provides perfect data feature information for the later traffic state discrimination.Secondly,taking the average travel speed and the length of slow queue as the indexes,the fuzzy comprehensive evaluation method is used to judge the traffic operation status.Based on the results of traffic operation state discrimination,the time series is constructed,the information transfer quantity of traffic state between different road sections is constructed by introducing transfer entropy algorithm,and the influence relationship index is introduced to characterize the direction and size of dynamic influence relationship between different road sections.Then the relationship between traffic state change and information transfer quantity is analyzed,and the node imbalance degree is proposed the key sections in the road network are identified.Finally,the characteristics of road network congestion are analyzed from the perspective of communicable congestion and noncommunicable congestion.Combined with the characteristics,the road network congestion section set is defined,and the quantitative model of overall road network congestion is constructed.At the same time,the maximum degree of overall road network congestion is taken as the comparison object of real-time road network congestion degree identification,and the real-time traffic operation state identification method is proposed,and the specific requirements are given Solution algorithm.