Data Based Parameter Setting Method for adaptive Cruise Control

Recent years, advanced driver assistance system (aDaS) has been highly developed and widely used. among various aDaS techniques adaptive cruise control (aCC) is the fundamental of longitudinal control. The tradeoffs among safety, comfort and traffic efficiency are the main issue in aCC design process. In this study, large amount of road tests was carried out to explore the circumstance characteristics in aCC usages scenarios. Based on statistical analysis of road test data, a method for aCC safety performance evaluation is proposed. Furthermore, the effects of parameters such as following distance, jerk limit and time delay to aCC safety performance are discussed. Finally, a way of aCC parameter designing is developed, this method can obtain best comfort and traffic efficiency after safety request is guaranteed. In this study, regulations and realistic constrains of production vehicles are considered. Different from theoretical simulation, production-oriented aCC system is restricted in maximum deceleration, maximum braking jerk, detection latency, actuation latency, calculation capacity etc. For this reason, all the analysis is based on statistical results and requests from actual products, no computationally expensive optimal method is implemented. The proposed method may not get optimal results in theoretical simulation but is very instructive in production-oriented aCC system design.