Evaluation Index Design And Multi-objective Evaluation Method In CVIS Mixed Traffic Environment

With the iterative update of the cooperative vehicle infrastructure system(CVIS),the traffic network presents the characteristics of complexity and diversity,and the traffic participants gradually show the characteristics of large scale and heterogeneity.The heterogeneous traffic environment has become the focus of traffic flow research.In order to further optimize the operation efficiency of the road network,the swarm intelligence control algorithm emerges as the times require.However,there are few studies on the comprehensive efficiency evaluation in CVIS mixed traffic environment.The assessment objectives are relatively single,the assessment methods are subjective and the results are not intuitive.It cannot cover all the needs of comprehensive efficiency evaluation in CVIS mixed traffic environment.Therefore,there is an urgent need for an intuitive and operable way to comprehensively evaluate the efficiency of mixed traffic environment.This thesis analyzes the needs of comprehensive efficiency evaluation in CVIS mixed traffic environment,designs evaluation indexes,and studies single-objective and multiobjective efficiency evaluation methods.The specific research contents include the following aspects:(1)This thesis designs a set of indexes for the comprehensive efficiency evaluation of CVIS in mixed traffic environment.In this thesis,the characteristics in CVIS traffic flow in mixed traffic environment are analyzed,and the evaluation index are designed and constructed.According to the different evaluation objectives,a design idea of network efficiency indexes is proposed.Finally,from the macro and micro perspectives,18 efficiency evaluation indexes are designed from the perspectives of intersection,section and road network,which are used to conduct the comprehensive evaluation in CVIS mixed traffic environment.(2)This thesis proposes the CVIS single-objective evaluation method based on the fuzzy comprehensive evaluation method.Firstly,according to the real data,the strong and weak relationship between the AHP indexes is determined,so as to determine the indexs weight.Secondly,according to the characteristics of the indexes,the membership function is established.Finally,the second-level fuzzy comprehensive evaluation model is constructed,and the evaluation result is obtained through the weighting of multiple operators.(3)This thesis proposes the CVIS comprehensive efficiency evaluation method based on network analysis method.Firstly,the Apriori algorithm is used to excavate the relationship between the evaluation indicators,so as to construct the network comprehensive efficiency evaluation indexes by using the idea of time-space slice.Secondly,based on the network analysis method,the network evaluation model is constructed to determine the control layer and the network layer,and the multi-objective comprehensive efficiency is evaluated.(4)This thesis carries out a case study on the comprehensive efficiency evaluation method of CVIS in mixed traffic environment.A set of evaluation software is developed and the evaluation results are visualized in real time.Simulation environment is constructed based on PARAMICS software,and 5 intersections and 6 typical CVIS mixed traffic scenarios are evaluated to verify the efficiency of the method proposed in this thesis.The results show that the evaluation index of CVIS in mixed traffic environment designed in this thesis can cover the four evaluation objectives of efficiency,safety,environmental protection and intelligent driving comfort.The proposed evaluation method can be used to evaluate the single-objective and multi-objective comprehensive efficiency of vehicle-road coordination in mixed traffic environment.The evaluation software built can visualize the evaluation results dynamically in real time.The thesis includes 65 figures,30 tables and 80 references.