| With the development of social economy and urbanization,traffic congestion has become one of the "urban diseases" faced by cities.How to cure this stubborn disease has become an urgent problem for traffic managers and participants.In order to accurately suit the remedy to the case,it is necessary to make accurate analysis and judgment on the basic characteristics of traffic congestion.The research and judgment of urban road traffic congestion is of great significance to improve urban traffic operation efficiency and alleviate traffic congestion.This paper mainly studies the traffic flow state differentiation of urban trunk roads,the determination method of congestion characteristics and the congestion evaluation method of urban trunk roads Based on the theory of ordered decision process,this paper improves the theoretical research on traffic data classification and congestion mode from the perspective of intelligent decision process,and selects the characteristics of traffic data.By evaluating the impact of each feature on the decision-making process,identify the main factors affecting the decision-making process,determine the orderly decision-making model,then use regression analysis to quantitatively model the decision-making system,summarize the quantitative relationship between the driving speed of congested vehicles and the influencing factors,and empirically compare and verify the two.This method has the advantages of selecting effective features,eliminating redundant data and improving decision-making efficiency.In order to comprehensively evaluate traffic congestion,this paper not only considers various factors of congestion causes,but also introduces the energy loss and time cost caused by congestion,and establishes an urban traffic travel time index model with space-time elements.The research results have strong practical significance,so that traffic managers have a more comprehensive choice of traffic congestion evaluation indicators. |