Modeling Human Vehicle Driving by fuzzy logic for standardized ISO double lane change maneuver

Author

El Hajjaji, A. ; Ouladsine, M.

Author_Institution

Centre de Recherche de Robotique, d´´Electrotechnique et d´´Automatique, Amiens, France

fYear

2001

fDate

2001

Firstpage

499

Lastpage

503

Abstract

A driver model based on fuzzy logic is presented which has been developed in the context of the SERA electronic manufacture collaboration. The basic idea behind the work is that the human uses his sensory perception and expert knowledge to predict the vehicle´s future behavior for the next few seconds. We propose a fuzzy control system and an optimization algorithm allowing a wheeled vehicle to pass a standardized ISO double lane chicane trajectory. The driver model has been implemented and tested on a 605 Peugeot simulator and validated experimentally. The results obtained for the standardized ISO double lane change (Chicane test) are presented

Keywords

automobiles; control system analysis computing; fuzzy control; man-machine systems; position control; 605 Peugeot simulator; Chicane test; chicane trajectory; driver model; expert knowledge; fuzzy control system; fuzzy logic; human; human vehicle driving modeling; optimization algorithm; sensory perception; stability; standardized ISO double lane change maneuver; vehicle dynamics model; vehicle future behavior prediction; Collaborative work; Context modeling; Driver circuits; Fuzzy logic; Humans; ISO standards; Testing; Vehicle driving; Vehicles; Virtual manufacturing;

fLanguage

English

Publisher

ieee

Conference_Titel

Robot and Human Interactive Communication, 2001. Proceedings. 10th IEEE International Workshop on

Conference_Location

Bordeaux, Paris

Print_ISBN

0-7803-7222-0

Type

conf

DOI

10.1109/ROMAN.2001.981953

Filename

981953