考虑不同路面状态的车辆主动避撞声光预警策略

Sound and light warning strategy for vehicle active collision avoidance considering different road conditions

为解决汽车行驶过程中路面状态变化对汽车主动避撞性能产生的影响,提出一种考虑不同路面状态的分级声光预警避撞策略。采用路面峰值附着系数算法对路面附着系数进行估计并分别建立了汽车制动避撞、换道避撞和协同避撞安全距离模型。对干沥青、湿沥青和雪路路面进行了不同行驶工况下的避撞轨迹规划和极限安全距离计算,将极限安全距离作为决策阈值与声光预警结合提出了主动避撞策略。通过Carsim/Simulink搭建单一路面与对接路面联合仿真平台对策略进行验证,结果表明,3种路面附着系数估算精度均小于8%,对接路面小于3%。提出的预警策略将预警时间提前1.75 s,安全车距提升49 m,有效提高了汽车行驶安全性。

In order to solve the influence of the changing road conditions on the active collision avoidance performance of the car during driving,a collision avoidance hierarchical sound and light warning strategy considering different road conditions is proposed.Estimation of pavement adhesion coefficient using pavement peak adhesion coefficient algorithm,then establish the car braking collision avoidance,lane change collision avoidance and cooperative collision avoidance safety distance models,respectively.The most common dry asphalt,wet asphalt and snow roads are used as examples to find out the collision avoidance trajectory and the limit safety distance of each collision avoidance method under different driving conditions,and then the limit safety distance is used as the decision criterion to combine with the sound and light warning to propose a warning strategy.Finally,the effectiveness of the strategy is verified by simulating the joint simulation platform of single pavement and spliced pavement through Carsim/Simulink.The results show that the estimation accuracy of the adhesion coefficient of the three single road surfaces is less than 8%,and that of the buttress road is less than 3%.The proposed warning strategy can advance the warning time by 1.75 s and improve the safety distance by 49 m,which effectively improves the safety of automobile traveling.