中文摘要：

为了提高车辆在弯道行驶的安全性,针对现有车辆前撞报警系统主要考虑直线行驶工况,很少考虑弯道环境和驾驶人行为特性这一问题,进行了基于驾驶人特性的弯道车辆前撞报警算法研究。通过真实道路环境下的试验,获取了驾驶人在弯道中的行为特性数据;利用卡尔曼滤波后的GPS坐标数据,并基于自适应邻域窗口生长方法对道路离散曲率进行估计,根据道路曲率估计结果对弯道驾驶人特性进行分析,确定了驾驶人特性参数的安全阈值;引入风险状态预估函数,对弯道车辆前撞风险状态进行判断,确定了报警规则和报警启动逻辑。结果表明：所提出的弯道车辆前撞报警算法能较好地体现驾驶人在弯道行驶中的跟车特性和操作习惯,提高了前撞报警系统对弯道工况及驾驶人的适应性。

英文摘要：

In order to improve the safety of vehicle driving on curved roads,aimed at the problem that current vehicle forward collision warning systems（FCWS） are mainly adaptive to vehicle driving on straight roads but not on curved roads and without considering driver characteristics,a vehicle forward collision warning algorithm based on driver characteristics for curved roads was studied.The drivers＇ behavior data on curved roads were collected through experiments.The method of adaptive neighborhood window growth was used to estimate the discrete road curvature based on the GPS coordinate data filtered by Kalman filtering algorithm.The analysis of driver characteristics on curved roads was carried out according to the estimated results and the safety thresholds of driver characteristic parameters were determined.Finally,the risk prediction function was used to judge the vehicle forward collision risk on curved roads,and the alarm rules and the warning start logic were determined.The results show that the driver characteristics and operating habits on curved roads can be described by using the proposed forward collision warning algorithm,and the adaptability of the FCW systems to curved roads and different drivers is improved.