文献类型：会议论文

英文题名：A Predictive Control Algorithm Based on Driving Behavior Data Model

作者：Han, XiangMin[1];Bao, Hong[1];Xuan, ZuXing[1];Pan, Feng[2]

第一作者：Han, XiangMin

通讯作者：Bao, H[1]

机构：[1]Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing, Peoples R China;[2]Beijing Union Univ, Coll Robot, Beijing, Peoples R China

第一机构：北京联合大学北京市信息服务工程重点实验室

通讯机构：[1]corresponding author), Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing, Peoples R China.|[11417103]北京联合大学北京市信息服务工程重点实验室;[11417]北京联合大学;

会议论文集：13th International Conference on Computational Intelligence and Security (CIS)

会议日期：DEC 15-18, 2017

会议地点：Hong Kong, HONG KONG

语种：英文

外文关键词：driving behavior; intelligent driving; data model; predictive control

摘要：At present, most of the researches in intelligent driving field start up from algorithm, while ignoring the driving behavior of the human driver in solving the automatic control problem of the intelligent vehicle. This kind of algorithm gives priority to the fast convergence of the algorithm and does not fully consider the driving habit of human beings, so it is very difficult to achieve humanoid driving in real sense. This paper presents a speed control algorithm of intelligent vehicle based on human driver's driving behavior. With the collection of the data analysis and modeling of human driver's driving behavior, the control model satisfying the human driving behavior is established, thereby simulating the human's driving habit, so as to finally realize the adaptive tracking driven by driving data and to improve the longitudinal comfort of the passengers of automatic driving vehicle.