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

被引：14

作者：

El Hajjaji, A ^{[1
]}

Ouladsine, M ^{[1
]}

机构：

[1] Ctr Rech Robot Electrotech & Automat, F-80000 Amiens, France

来源：

ROBOT AND HUMAN COMMUNICATION, PROCEEDINGS | 2001年

关键词：

vehicle dynamics model; fuzzy control; stability; standardized ISO double lane change;

D O I：

10.1109/ROMAN.2001.981953

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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

引用

页码：499 / 503

页数：5