Research On Traffic Signal Control Of Eco-city Based On Vehicle-road Coordination Environment

As an important hub,the intersection not only has a great impact on the traffic efficiency of a city,but also is the main place of energy consumption and exhaust emissions.Therefore,it is necessary to take effective signal control measures for the intersection.A scientific and reasonable signal control method at the intersection can effectively alleviate the queuing congestion and delay,so as to achieve the purpose of energy conservation and emission reduction,which makes the construction of ecological city develop vigorously.Aiming at reducing delay and emissionsthis dissertation studies the traffic signal control and optimization in the city.Combined with the technical background of vehicle-road coordination,it designs and optimizes the traffic signal control methods at single intersection and the region formed by multiple intersections,respectively.The specific work and innovation of this dissertation are described as follows.(1)A new vehicle-road coordination framework is constructed.Based on the latest vehicle-road coordination technology,a real-time communication framework of vehicle-road coordination system is constructed.In this framework,a new intersection coordination control system is designed,which is composed of the vehicle unit equipped on the intelligent vehicle and the roadside coordination control unit(including signal lights)equipped near the intersection.Besides,the related vehicle detection methods are defined to provide the technical background for the subsequent chapters.(2)A speed guidance strategy in ecological driving is designed.The relationship between vehicle delay and cumulative energy consumption at intersections is focused on,and the corresponding calculation model is constructed,which provides the calculation basis for the subsequent optimization of intersection signal control.In addition,according to the different driving conditions of the vehicles at the intersection,an auxiliary strategy of ecological driving is designed,which is energy-saving oriented speed guidance.The simulation results show that the fuel consumption can be saved about 10%with speed guidance compared with the scene without speed guidance.(3)An optimization model of traffic signal control for single intersection is designed.Aiming at the typical single intersection,a control strategy for the maximum traffic flow is proposed in combination with the characteristics of its geometric model.At the same time,according to the characteristics of"point control"of single intersection,a method of solving the optimal signal timing based on the combination of particle swarm optimization and multi-objective model is studied.Through the test in the simulation platform,the optimization method has obvious improvement compared with the traditional timing method.(4)A real-time signal coordination control model for multiple intersections is designed.For the regional signal control of multiple intersections,a Real-time Intersection Coordination Control(RIC~2)model is designed.Combined with the principle of collaborative operation of traffic flow guidance and signal control optimization,a route guidance module and a key module of optimizing signal timing are designed,respectively.Besides,the fuzzy combination weight algorithm and the improved quantum particle swarm optimization algorithm in these two modules are simulated and compared in the experiments,respectively.The results show that under the oversaturated flow,the RIC~2 model can improve the urban traffic efficiency significantly.