无信号灯十字路口行车碰撞预警方法研究  

Research on Avoidance Warning Method of Vehicle Collision at Unsignalized Intersection

作　　者：邹斌[1,2] 干雷 ZOU Bin;GAN Lei(Hubei Key Laboratory of Advanced Technology for Automotive Components,Wuhan University of Technology,Wuhan 430070,China;Hubei Collaborative Innovation Center for Automotive Components Technology,Wuhan University of Technology,Wuhan 430070,China)

机构地区：[1]武汉理工大学现代汽车零部件技术湖北省重点实验室,武汉430070 [2]武汉理工大学汽车零部件技术湖北省协同创新中心,武汉430070

出　　处：《武汉理工大学学报》2022年第4期23-29,共7页Journal of Wuhan University of Technology

基　　金：新能源汽车科学与关键技术学科创新引智基地(B17034);教育部创新团队发展计划(IRT_17R83)。

摘　　要：为解决无信控十字路口情况下确定值碰撞时间(Time to Collision,TTC)风险评估方法对交互车辆真实运动轨迹忽略的问题,提出数据分离法,结合逆变换和指数变换进行数据处理以提高风险评估准确性。首先,构建了一种典型的无信控十字路口交互场景,车辆运动模型以及车辆运动轨迹拟合函数;然后结合自然驾驶行为提出数据分离法来计算车辆未来可能的运动;最后通过仿真验证了方法的有效性。仿真结果表明,相比确定值TTC,数据分离法的准确性最高可提升17.39%。In order to solve the problem that the Time to Collision(TTC)risk assessment method ignores the real trajectory of the interactive vehicle in the case of an untrusted intersection,a data separation method is proposed,which combines inverse transformation and exponential transformation for data processing to improve the accuracy of risk assessment.First,a typical interactive scene at an untrusted intersection,vehicle motion model,and vehicle motion trajectory fitting function are constructed;then a data separation method is proposed in combination with natural driving behavior to calculate the possible future motion of the vehicle;finally,the method is verified by simulation Effectiveness.The simulation results show that the accuracy of the data separation method can be improved by up to 17.39% compared with the determined value of TTC.

关 键 词：车辆网 交叉口 无信控 碰撞预警 TTC 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]