Research On Traffic State Discrimination Method For Cities

With the socio-economic development,the people’s living standards continue to mention,car holdings continue to rise,leading to urban road traffic pressure continues to increase.However,due to road traffic conditions and many other restrictions,traffic supply and traffic demand is not balanced,which led to the growing urban traffic congestion problems.Road traffic congestion is limited by the rapid development of the city,therefore,find a quick and effective way to alleviate urban traffic congestion is particularly important.The road traffic status determination is the basis for traffic management and control,which can provide favorable information for road users,and can provide data support for road managers to respond to road management measures.This paper starts from the study of traffic status discrimination method,and finds an effective way to solve the traffic problem.Specific research is as follows:The first chapter is the introduction.Mainly from the intersection,section,regional and other levels of domestic and foreign research status analysis.And summarizes the achievements and shortcomings of the current research,on this basis,put forward the research ideas and technical lines.Lay the foundation for the following development.The second chapter is the establishment and selection of evaluation index.This paper defines several operating states in road traffic and establishes the evaluation index model to judge the running state of road.The evaluation criteria of traffic congestion based on traffic congestion are put forward.Chapter 3 presents a method of traffic state discrimination based on single traffic data.Based on the principle of multi-support vector machine,the traffic condition discriminant model is proposed,and the support vector machine is applied to traffic event monitoring.In the aspect of traffic status discrimination,a traffic threshold model based on variable threshold is proposed.The proposed model makes the traffic condition judgment result more consistent with the actual traffic condition and increases the accuracy of the judgment result.Chapter 4 presents a method of traffic state discrimination based on multi-section traffic data.Based on the fuzzy clustering method,the traffic state is regarded as several clustering centers.By using the membership principle,the traffic status is identified by analyzing the correlation of traffic data.In addition,a traffic condition identification method based on the dispersion index is proposed.The method compares the traffic data collected in real time with the historical data,and dynamically updates the historical data according to the chronological order,and then realizes the judgment of the road traffic status.The fifth chapter is the method of regional traffic status discrimination,which mainly uses the average travel speed parameter to judge the regional traffic operation status.The travel speed estimation method based on traffic parameter fitting and the travel speed estimation method based on equivalent queuing length are proposed.The simulation experiment and correlation analysis are carried out to verify the feasibility of the model.Chapter 6 summarizes and prospects.In view of the related research results,innovation and research work of the next step.Hope to elaborate.