Research on Optimization Method of Vehicle Speed in Urban Road Conditions Based on Interval Analysis

Abstract

Energy saving is the theme of automobile development, and intelligence and networking are the inevitable trend of automobile technology development. Aiming at the influence of traffic information on vehicle energy consumption, an economic speed planning method for intelligent connected vehicles based on interval analysis is proposed. Firstly, based on cellular automata and confidence interval theory, traffic information rules are introduced, and a road speed interval extraction method considering traffic density and traffic signal phase information is established. Secondly, according to the vehicle driving energy consumption model, the objective function of economic speed planning is established, and the traffic speed interval under different driving conditions is taken as the dynamic constraint condition, and the optimal control problem model of vehicle economic speed planning under urban road conditions is established; Then, the optimal control problem of vehicle economic speed is transformed into a model predictive control problem, and the DP algorithm is used to solve the optimal control sequence in each predictive domain, and the optimal speed sequence is planned by cyclic rolling optimization. Finally, through simulation and experimental verification, the results show that the method proposed in this paper can not only achieve all-green traffic at signal intersections, but also achieve good energy-saving effect, and the planning algorithm has fast calculation speed.