基于可靠度的多因素下货车安全跟车距离研究

Vehicle stoping-distance and recommended following distance are important factors for heavy-duty truck. In fact, the vehicle stopping-distance is affected by several factors beside vehicle dynamics:current speed, braking system retardation force, road slip and road grade. Truck onboard monitoring is to provide real-time feedback to the driver and analyze the possibility of danger to remind the drivers. The criteria of safe following distance in the past assumes that the influencing factors of following distance are constant and has only two results:safety and danger, which can not be identification algorithm of intelligent drive assist system and has low accuracy. To solve these problems mentioned above, the authors present a reliability-based assessment of safety following distance under variable conditions in which the uncertainty of varibles in the following model are considered. The method can caculate the possibility of rear-end, also has high accuracy and rational identification algorithm. A model of recommended following distance based on distance is present in this article. The articles find the appropriate varibles and analyze the data of road experiment by two different reliability calculation methods, finally get rational results and provide a feasible identification algorithm of safe following distance for threat assessment system.