Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver

Naranjo Hernández, José Eugenio and González, Carlos and García, Ricardo and Pedro Lucio, María Teresa de (2008). Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver. "IEEE Transactions on Intelligent Transportation Systems", v. 9 (n. 3); pp. 438-450. ISSN 1524-9050. https://doi.org/10.1109/TITS.2008.922880.

Description

Title: Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver
Author/s:
  • Naranjo Hernández, José Eugenio
  • González, Carlos
  • García, Ricardo
  • Pedro Lucio, María Teresa de
Item Type: Article
Título de Revista/Publicación: IEEE Transactions on Intelligent Transportation Systems
Date: September 2008
ISSN: 1524-9050
Volume: 9
Subjects:
Freetext Keywords: Fuzzy control hybrid control intelligent control proportional–integral differential (PID) control proportional¿integral differential (PID) control road vehicle control
Faculty: E.U. de Informática (UPM)
Department: Sistemas Inteligentes Aplicados [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The automation of the overtaking maneuver is considered to be one of the toughest challenges in the development of autonomous vehicles. This operation involves two vehicles (the overtaking and the overtaken) cooperatively driving, as well as the surveillance of any other vehicles that are involved in the maneuver. This operation consists of two lane changes—one from the right to the left lane of the road, and the other is to return to the right lane after passing. Lane-change maneuvers have been used to move into or out of a circulation lane or platoon; however, overtaking operations have not received much coverage in the literature. In this paper, we present an overtaking system for autonomous vehicles equipped with path-tracking and lane-change capabilities. The system uses fuzzy controllers that mimic human behavior and reactions during overtaking maneuvers. The system is based on the information that is supplied by a high-precision Global Positioning System and a wireless network environment. It is able to drive an automated vehicle and overtake a second vehicle that is driving in the same lane of the road.

More information

Item ID: 2049
DC Identifier: http://oa.upm.es/2049/
OAI Identifier: oai:oa.upm.es:2049
DOI: 10.1109/TITS.2008.922880
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4515884
Deposited by: Memoria Investigacion
Deposited on: 11 Jan 2010 11:11
Last Modified: 20 Apr 2016 11:50
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