Title: An investigation on coordination of lane departure warning based on driver behaviour characteristics
Authors: Hongyu Zheng; Mingxin Zhao
Addresses: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, Jilin, China ' State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, Jilin, China
Abstract: As an important part of Advanced Driver Assistance Systems (ADAS), Lane Departure Warning System (LDWS) plays a significant role in lane departure prevention and reducing traffic accidents caused by lane departure. In order to improve the warning effect of the system as well as driver acceptance, this paper describes an LDWS algorithm for personalised driving assistance. The proposed combination algorithm consists of a multi-mode Time to Lane Crossing (TLC) and a Future Offset Distance (FOD) based on driver behaviour characteristics. To detect driver's lane change intention, the steering behaviour has been developed incorporating vehicle states and road curvature. Driving simulator tests are conducted to validate the lane departure warning algorithm with multi-mode based on TLC and FOD under various driving situations. The obtained test results are consistent with the expected performance.
Keywords: LDWS; lane departure warning system; time lane crossing; future offset distance; driver characteristics; simulator experiments.
International Journal of Vehicle Autonomous Systems, 2020 Vol.15 No.1, pp.77 - 99
Accepted: 05 Nov 2018
Published online: 31 Jan 2020 *