Research On Application Of Simulation And Evaluation Method Of Urban Traffic Signal Control

The urban process is accelerating and vehicles are increasing rapidly,but the limited road resources have caused traffic congestion to be very common.The deficiencies in the use of urban roads have caused poor traffic and a sharp increase in vicious traffic accidents,which have become the focus of plagued people and urgent problems to be solved.It is imminent to improve the level of urban traffic management.Urban traffic signal lights have a certain binding force.Their existence ensures that the traffic operation is in a relatively balanced state.This is also the most economical and effective way to guide the normal operation of the city.However,it is also necessary for the evaluation indicators of urban traffic design and the reasonable evaluation of signal control strategies.The results of the traffic jam evaluation index can clarify the traffic operation status,and provide timely feedback on the effect of the control plan,provide a reasonable basis for relevant departments to take corresponding measures,and truly achieve the purpose of improving traffic conditions and improving traffic efficiency.This paper proposes corresponding evaluation models for the two research objects of urban single intersection and trunk traffic respectively,establishes an effective congestion evaluation system,and intuitively reflects the degree of congestion.Aiming at the above model,it mainly includes the following research contents:(1)A signal timing evaluation model for single intersection based on nonlinear synthesis method is proposed.This model is inseparable from signal control.It needs to combine timing plan data to reflect its control effect,and then comprehensively analyze and select available evaluation indicators based on the traffic parameters obtained by multiple detection equipment,and perform non-linear processing on these indicators from multiple aspects.Evaluate the intersection.This model can reflect the effect of signal control timing optimization,and has certain application exploration value.At the same time,the traffic state is divided into five states with reference to historical research,and the current traffic level is more clearly divided.This model ensures the executable congestion evaluation research and realizability;(2)Verify the proposed signal timing evaluation model for single intersections.This paper analyzes the data collected by the wide-area radar detector and the video detector separately,and calculates from the direction and phase angle to prove the universality of the model.By analyzing the correlation of the time series,it can be seen that the change of the congestion index after the optimization of single intersection timing is in line with the actual situation.According to the index results,the change of timing traffic can be intuitively understood,and then the control strategy can be improved to form a closed-loop structure.In addition,K-means clustering is performed on the evaluation index results to classify the traffic status,and the method of multi-population hypothesis testing in statistics is used to prove the accuracy of the clustering results;(3)Evaluate the urban traffic arteries and propose models.The evaluation of arterial routes in this article is carried out from two aspects: the coordinated direction and the non-coordinated direction.The combination of absolute indicators and relative indicators is used for evaluation indicators,which can more clearly reflect the degree of change in traffic data.The weights are determined by expert scoring methods.The analytic hierarchy process is used to calculate,and the framework of extension matter-element method is used for evaluation.The final model is based on the known weight value.The maximum value is selected as the weight value of the direction,and the two directions are weighted to obtain the main line congestion evaluation index.The relevant index parameters are obtained by using the SUMO simulation software to construct a traffic simulation system,and the Pearson correlation coefficient between the flow data and the index result is calculated,and the correlation value obtained is relatively high.The result shows that the model has certain reference value.