Headway Control And Optimization Of Guided Transport System Based On Urban Road Conditions

With the increasing urban population and car ownership,urban congestion and car exhaust have become persistent diseases that perplex every large and medium-sized city,so the guided transport system arises at the historic moment.As a new low-cost rail transit mode,guided transport vehicles can run in urban roads based on advanced communication,positioning,power steering and sensing technologies.As the core of estimating the carrying capacity of rail transit lines,tracking headway is related to the operating organization and line design in the construction of guided transport system.At present,the guided transport system still lacks a comprehensive analysis of carrying capacity,and the complexity of operation scenarios in urban roads also brings challenges to the tracking operation control of guided transport vehicles.In this paper,the tracking headway of guided transport train is modeled and analyzed;According to the characteristics of public right of way in guided transport system,a fuzzy comprehensive evaluation model is proposed to evaluate and analyze the congestion of urban intersection;Based on the artificial potential field method,a tracking headway control method of guided transport vehicle based on intersection conditions is proposed,which realizes the operation control and dynamic adjustment of tracking interval of guided transport vehicle,and improves the operation efficiency of guided transport system.The main research contents and innovations are as follows:(1)By summarizing the characteristics of guided transport vehicles and various influencing factors of tracking headway,the tracking headway model of guided transport vehicles under various scenarios is established,and the simulation analysis is carried out.It is pointed out that the section tracking headway affected by the public right of way at the intersection is an important factor affecting the traffic capacity.(2)Starting from the congestion characteristics of the intersection of the guided transport system route,the comprehensive evaluation index system of the intersection congestion for the guided transport system is established.Combined with the fuzzy analytic hierarchy process,grey correlation analysis and TOPSIS,the fuzzy comprehensive evaluation model is established to realize the accuracy and trend evaluation of the intersection congestion state based on the actual road data.(3)Based on the artificial potential field theory,combined with the requirements of tracking headway adjustment and speed control of guided transport vehicles,the tracking headway potential field,reference speed potential field and safety protection potential field of guided transport vehicle are established to realize operation control and safety protection.Under the control of the reference speed potential field,the maximum speed tracking error of a vehicle can reach 1.856km/h.(4)By introducing the intersection road condition evaluation index,a tracking headway control method based on parameter time-varying hybrid artificial potential field is proposed,and the simulation and verification under the tracking operation scenario of guided transport vehicle are carried out.The results show that the control method avoids the local optimization problem of artificial potential field,and enables the vehicle to realize dynamic control adjustment and speed curve tracking according to different intersection condition levels and real-time tracking headways,the tracking headway during section operation can reach an average of 120 s,which improves the operation efficiency.There are 48 figures,10 tables and 72 references in this thesis.