城市道路智能汽车斑马线避撞行人策略研究

Research on the Pedestrian Strategy of intelligent vehicle on Zebra Crossing on Urban Road

针对城市道路车辆与斑马线横穿行人碰撞事故,提出了一种智能汽车碰撞预警与避撞策略。首先,利用模拟驾驶器,建立城市道路车辆驾驶与行人运动场景,仿真分析车辆避撞行人的驾驶行为特性。然后,通过建立智能汽车避撞行人的时间和空间约束条件,提出了智能汽车安全避撞行人策略。最后,搭建PreScan/Simulink联合仿真平台进行仿真验证。结果表明,该控制策略可以通过减速制动方式,有效避免车辆与斑马线横穿行人的碰撞事故。相关研究可为智能汽车避撞决策系统开发提供策略参考。

An intelligent vehicle collision warning and avoidance strategy is proposed for urban road vehicles and zebra crossing pedestrian collision accidents.Firstly,the driving behavior characteristics of drivers’longitudinal avoidance of crossing pedestrians are analyzed based on the simulator.Then,the time and space constraints of intelligent vehicle collision avoidance pedestrian are established,and the intelligent vehicle safety collision avoidance pedestrian strategy is proposed.Finally,the PreScan/Simulink co-simulation platform is built for simulation verification.The results show that the control strategy can effectively avoid the collision accident between the vehicle and the pedestrians crossing the zebra crossing through the deceleration braking mode.