摘要
为减少因驾驶员因素造成的长途客车交通事故,从驾驶人、车辆、道路环境的角度将行车数据分为驾驶员行为信息、车辆状态信息、环境及位置信息3大类。分析了基于行车数据的驾驶经济性、平稳性的计算方法,并对疲劳驾驶、急加减速、非正常地点停车等不规范驾驶行为进行了研究和识别,为长途客车驾驶员驾驶行为的识别提供了新的方法,为驾驶员行车安全性评估提供参考。
In order to reduce the coach accidents caused by driver factors,it classifies the driving data from the perspective of driver,vehicle and road environment,proposes the characteristics of driving statistics,and analyzes the calculation method of driving economy and stability.This provides the risky driving behaviors in instance,fatigue driving,heavy acceleration and deceleration and abnormal parking.
出处
《机械设计与制造工程》
2017年第12期105-108,共4页
Machine Design and Manufacturing Engineering
