Multi-Vehicle Speed Optimization at Intersections in a Vehicle-Road Cooperative Environment
To reduce the energy consumption of intelligent network-connected electric vehicles at urban intersec-tions and prevent collisions within the vehicle platoon,a hierarchical coupled control system for speed optimiza-tion and collision avoidance of intelligent network-connected electric vehicles in a vehicle-road cooperative en-vironment is proposed.The upper-level model optimizes vehicle speed based on the traffic signal light phase timing and vehicle dynamics model;the lower level combines the optimized speed and model predictive control to further optimize the speed within the vehicle platoon,preventing collisions with the vehicle ahead.A control sys-tem simulation model is built on the Matlab platform,and the effectiveness of the proposed hierarchical coupled control system is verified based on the scenario of vehicle queues passing through intersections.Simulation results show that the hierarchical coupled control system calculates the optimal speed curve with the lowest energy con-sumption and avoidance of collisions,varying with traffic conditions.It is evident that the proposed system en-sures that intelligent network-connected electric vehicles can drive more energy-efficiently and safely.
vehicle-road collaborationintelligent networked electric vehiclesspeed optimizationenergy saving optimizationactive collision avoidancehierarchical control