车联网环境下交叉口多车协同速度引导策略研究

Research on multi-vehicle collaborative speed guidance strategy at intersections under the internet of vehicles environment

针对城市道路上信号交叉口对交通流的阻断问题,提出了一种基于车联网环境的多车协同车速引导方法。首先确定车速引导区间及队列车辆数目,其次根据信号及车辆行驶状态,建立不同工况下的车队速度引导优化模型,并通过粒子群算法求解,获得车速控制方案参数。仿真结果表明:与无车速引导相比,提出的多车协同速度引导模型能够有效减少车辆停车次数,降低车辆延误,提升交叉口通行能力。

To alleviate traffic flow congestion at signalized intersections on urban roads,this paper introduces a multivehicle collaborative speed guidance method within the context of the Internet of Vehicles(IoV)environment.Initially,the approach involves determining the speed guidance interval and the queue size of vehicles.Subsequently,an optimization model for fleet speed guidance is constructed based on signal and vehicle driving status,considering various operational conditions.This model is then solved utilizing the particle swarm algorithm to derive the parameters governing the vehicle speed control scheme.The simulation results show that compared with the scenario lacking speed guidance,the multi-vehicle collaborative speed guidance model proposed in this study significantly reduces the number of vehicle pauses,alleviates vehicle delays,and improves intersection capacity.