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

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.