基于车流量感知的交叉口车速控制策略

通过车联网(VANETs)协同控制车速和交通灯是智能交通系统的核心技术一。提出基于VANETs交通灯的车速控制优化(VSCO)方案，通过VANETs对交通信号灯进行时间优化，并对行驶经过交通信号灯的车辆进行规划，进而降低交叉口黄灯困境(YLD)相关的事故，减少CO2排放以及车辆的等待时间。实验数据表明，相比于传统的固定时间交通灯机制，VSCO方案减少了车辆等待时间和燃油排放。

Intersection speed control strategy based on traffic flow perception

Joint control of speed and traffic timing based on Vehicular Ad Hoc Networks(VANETs) is one of the core technologies in intelligent transportation system. Therefore, VANETs-based Vehicle Speed Controlling Optimization(VSCO) scheme with traffic light is proposed. VSCO scheme optimizes the time of traffic lights(green, red and yellow) through VANETs, and plans the vehicles driving by the traffic lights to eliminate Yellow-Light Dilemma(YLD)-related traffic accidents occurring at intersections, reduce CO2 emissions and shorten the waiting time of vehicles. Simulation results illustrate that the proposed VSCO scheme can effectively decrease the waiting time and cut CO2 emissions, compared with conventional scheme referring to traditional traffic light using fixed signal control method.