摘要
为了研究实时道路条件对车辆跟驰行为的影响,应用车辆动力学结合车载GPS和传感器数据实时估算路面与轮胎间的附着系数,并应用附着系数对智能驾驶模型的最小期望跟驰间距进行修正,建立考虑实时道路条件的跟驰模型。对模型的分析表明:考虑实时道路条件的跟驰模型在保证乘客舒适性的基础上能提高道路的服务水平。
For analyzing the effect of real-time road condition on car-following behaviors,the vehicle dynamics is applied to real-time estimate the tire-road friction coefficient combining with vehicular GPS and sensors and the new car-following model which considers the influence of real-time road condition is established by modifying the minimum desired following gap of Intelligent Driver Model.The model analysis shows： which has taken into account the real-time road condition could improve the road service level based on ensuring the comfort of passengers.
出处
《黑龙江交通科技》
2016年第1期127-129,共3页
Communications Science and Technology Heilongjiang
关键词
附着系数
最大减速度
跟驰模型
期望跟驰间距
friction coefficient
maximum deceleration
following model
following gap with expectation
