Ecological Driving Speed Control Method Of Automatic Driving Vehicle At Signalized Intersection Based On Network Connection

With the rapid development of China’s economy,the automobile industry has made great progress.The production and sales of automobiles continue to rank the first in the world,and the number of automobiles has increased rapidly,which brings great convenience to people.At the same time,the fuel consumption,pollutant emissions,traffic congestion and other problems of automobiles are becoming more and more prominent,which has been widely concerned by the society.The signal light of urban intersection is the traffic equipment to make vehicles and pedestrians pass through the intersection orderly,which plays an important role in traffic safety,but also has a blocking effect on traffic flow,so that vehicles often have high fuel consumption and high emission behaviors such as acceleration,deceleration,parking and idling in the signal area.With the development of communication technology,it is possible to exchange information between vehicle and workshop.According to the collected information,vehicles can take appropriate driving strategies,which can effectively reduce energy consumption and emissions,and optimize traffic.Based on the analysis of the existing domestic and foreign ecological driving speed control strategies,this paper introduces the speed guidance of signalized intersections,analyzes the system construction,key technologies and typical application of the Internet of vehicles platform,analyzes the development stage,key technologies and existing problems of automatic driving,puts forward the architecture of ecological driving speed control system,and makes a foundation for the operation environment of this control strategy This paper analyzes and introduces VISSIM traffic simulation platform and moves emission model.Secondly,the principle of ecological driving speed control strategy at signalized intersection is analyzed,and the vehicle position,movement state and signal phase timing information in the road network are obtained by the Internet of vehicles communication system.The control scene of vehicles passing through signalized intersection is divided,and the speed trajectory control strategy of vehicles passing through signalized intersection without stopping is obtained.This paper analyzes and introduces the VT micro micro model,and uses the VT micro model to correlate the target speed of ecological driving vehicles passing through intersections with fuel consumption and emissions.Taking energy consumption,emission and traffic efficiency as the optimization objectives,and non-stop passing as the constraint,the simulated annealing algorithm is used to solve the target speed,and the simulation platform for traffic operation and energy consumption and emission estimation of ecological driving strategy at signalized intersection is constructed,and the simulation verification of ecological driving speed control strategy based on simulated annealing algorithm optimization is carried out.Based on the analysis of multi-objective genetic algorithm,this paper constructs the ecological driving speed control strategy of signalized intersection optimized by multi-objective genetic algorithm and carries out simulation analysis.The simulation results show that the control strategy optimized by multi-objective genetic algorithm is better than the control strategy optimized by simulated annealing algorithm in traffic efficiency and energy consumption emission index,and it can control the length of road section and initial speed It has a great impact on the implementation effect of the strategy.This paper analyzes the influence of other vehicles in the traffic flow on the controlled vehicles,proposes the vehicle control scene division and vehicle target speed optimization method based on the traffic flow state information,and establishes the control strategy based on the traffic flow optimization.Simulation analysis of different ecological driving speed control strategy,different control strategy penetration and different road saturation scenarios.The results show that the strategy considering traffic flow has a good effect in all scenarios,while the strategy not considering traffic flow can only obtain benefits in some scenarios;the higher the penetration rate of the algorithm,the better the implementation effect of ecological driving strategy.Finally,based on the speed trajectory of vehicles passing through signalized intersections under different ecological driving speed control strategies,the bench test is completed on the chassis dynamometer.The experimental results show that the ecological driving speed control strategy has better energy saving and emission reduction effect and improves the travel efficiency,and the implementation effect of the strategy based on traffic flow optimization is better than that of the strategy without considering traffic flow.The ecological driving speed control strategy of signalized intersection constructed in this paper can effectively reduce energy consumption and emissions and improve traffic efficiency in the future mixed driving scenario of manned driving and automatic driving.