Research On Vehicle Path Planning Problem Under The Influence Of Traffic Control Signals And Energy Consumption

With the rapid development of China's automobile industry,the number of cars in major cities has increased dramatically.While facilitating people's travel,it also brings a series of problems such as traffic jams and environmental pollution,which seriously restricts the development of urbanization.The emergence of Intelligent Transportation Systems(ITS)has provided new ideas for solving road traffic problems.Path planning algorithms are the key technologies of traffic guidance subsystems in intelligent transportation systems,which can ease traffic pressure and increase road utilization.This paper studies the vehicle path planning under the influence of traffic control signals in the urban road network.The specific research contents of the paper are as follows:First,the dissertation expounds the research background and significance of this paper based on the current situation of urban transport and the development of intelligent transportation systems.This paper analyzes the research status at home and abroad from the aspects of route planning considering signalized intersections and energy-saving driving of vehicles,and briefly introduces the basic principles of route planning and energy-saving driving.Secondly,the method of the floating car data platform is used to obtain the average driving speed of each road segment in the road network,and then the passage time of the road segment was calculated.Based on the characteristics of the transition of two-state continuous-time Markov chain,a steady-state probability conversion model of traffic lights is constructed.Then,based on the guidance of vehicles at signalized intersections under the vehicle and road coordination environment,a vehicle acceleration passing model of signalized intersections was established.Further consideration is given to the precondition of vehicle acceleration,that is,the determination of the headway distance.At the same time,consider the extension of the green time by accelerating vehicles through the intersection.,and a waiting time model for the rapid passage of the intersection is constructed.Combined with the A*algorithm,an extended A*algorithm is proposed that takes into account the rapid passage time of the intersection.Thirdly,the features of urban working conditions are introduced,and the model of energy-saving driving of vehicles at signalized intersections is proposed,which allows the driver to adopt corresponding operating modes for different signal phases to reduce parking idle time and save vehicle energy consumption.Based on the proposed traffic light probability conversion model and the energy-saving driving model of vehicles passing through signalized intersections,the duration of the signal light cycle is further divided into four parts:the green light pass,the red light acceleration,the red light idle,and the red light deceleration.Combined with the segmentation probability and its fuel consumption,the average fuel consumption of the vehicles passing through the signalized intersection was calculated.With the aim of optimizing energy consumption,the energy consumption of road sections and the energy consumption of vehicles passing through signalized intersections are added up as the total energy consumption,combined with A*algorithm,an optimal path planning algorithm under the influence of traffic lights and energy consumption in urban road network was proposed.Finally,through the OpenStreetMap and SUMO software,the path planning algorithm considering the signal intersection delay is simulated and analyzed.Through the actual vehicle test,the path planning algorithm under the influence of traffic lights and energy consumption was verified,and the simulation and experimental results were analyzed.