Modeling and Recognizing Driver Behavior Based on Driving Data: A Survey

被引：59
|
作者：
Wang, Wenshuo [1 ]
Xi, Junqiang [1 ]
Chen, Huiyan [1 ]
机构：
[1] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2014年 / 2014卷
关键词：
HANDLING QUALITIES; IDENTIFICATION; STATE; RECOGNITION; PREDICTION; DYNAMICS; SIGNALS; SYSTEMS;
D O I：
10.1155/2014/245641
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In recent years, modeling and recognizing driver behavior have become crucial to understanding intelligence transport systems, human-vehicle systems, and intelligent vehicle systems. A wide range of both mathematical identification methods and modeling methods of driver behavior are presented from the control point of view in this paper based on the driving data, such as the brake/throttle pedal position and the steering wheel angle, among others. Subsequently, the driver's characteristics derived from the driver model are embedded into the advanced driver assistance systems, and the evaluation and verification of vehicle systems based on the driver model are described.
引用
收藏
页数：20
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