Title: Application of genetic algorithm to analysis of driver's behaviour in collision avoidance

Authors: M. Nagai, M. Onda, T. Katagiri

Addresses: Professor, Vehicle Dynamics and Control Laboratory, Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, Koganei-shi, Tokyo 184, Japan. ' Assistant Professor, Vehicle Dynamics and Control Laboratory, Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, Koganei-shi, Tokyo 184, Japan. ' Graduate Student, Vehicle Dynamics and Control Laboratory, Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, Koganei-shi, Tokyo 184, Japan

Abstract: Reduction of traffic accidents has become an increasingly important issue during recent years with the advance of the automobile society. It has been regarded a key to coping with this issue to investigate thoroughly the behaviour of drivers especially in emergent situations, such as in the case of sudden encountering of an obstacle during driving. Assuming an emergent situation of obstacle avoidance, taking full consideration of the nonlinearity of tyres, this paper studies the characteristics of the driver under the critical condition by way of genetic algorithm (GA). Computer simulations are carried out to find out that the behaviour of the driver obtained by GA agrees very well with general empirical knowledge under such a situation.

Keywords: collision avoidance; computer simulation; driver behaviour; genetic algorithms; modelling; traffic accidents.

DOI: 10.1504/IJVD.1997.062087

International Journal of Vehicle Design, 1997 Vol.18 No.6, pp.626 - 638

Published online: 29 May 2014 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article