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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 412126, 11 pages
http://dx.doi.org/10.1155/2015/412126
Research Article

A New Lane Departure Warning Algorithm Considering the Driver’s Behavior Characteristics

1School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong 510640, China
2School of Civil Engineering, Guangzhou University, Guangdong 510006, China

Received 6 May 2015; Revised 7 July 2015; Accepted 26 July 2015

Academic Editor: Gregory Chagnon

Copyright © 2015 Lun Hui Xu 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 order to meet the driving safety warning required for different driver types and situations, a new lane departure warning (LDW) algorithm was proposed. Its adaptability is much better through setting the different thresholds of time to lane crossing (TLC) using fuzzy control method for driver with different driving behaviors in different lanes and different vehicle movements. To ensure the accuracy of computation of TLC under the different actual driving scenarios, the algorithm was established based on vehicle kinematics and advanced mathematics compared to other ways of computation of TLC. On this basis, a LDW strategy determining driver's intentions was presented by introducing identifying vehicle movements. Finally, a vast quantity of the real vehicle experiments was given to demonstrate the effectiveness of the proposed LDW algorithm. The results of the tests show that the algorithm can decrease false alarm rate effectively because of distinguishing from unconscious by real-time vehicle movements, and promote the adaptability to the driver behavior characteristics, so it has favorable driver acceptance and strong intelligence.