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Mathematical Problems in Engineering
Volume 2014, Article ID 245641, 20 pages
http://dx.doi.org/10.1155/2014/245641
Review Article

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

School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

Received 22 November 2013; Accepted 26 December 2013; Published 10 February 2014

Academic Editor: Rongni Yang

Copyright © 2014 Wenshuo Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.