English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/3207
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Cooperative Throttle and Brake Fuzzy Control for ACC+Stop&Go Maneuvers

AuthorsNaranjo, José E.; González, Carlos ; García Rosa, Ricardo ; Pedro, Teresa de
KeywordsFuzzy control
global positioning system
intelligent control
road vehicle control
wireless local area network (WLAN)
Issue DateJul-2007
PublisherInstitute of Electrical and Electronics Engineers
CitationIEEE Transactions on Vehicular Technology, Vol. 56, NO. 4, JULY 2007
AbstractThe goal that a car be driven autonomously is far in the future and probably unreachable, but as a first step in that direction, adaptive cruise control (ACC) and Stop&Go maneuver systems are being developed. These kind of controllers adapt the speed of a car to that of the preceding one (ACC) and get the car to stop if the lead car stops. This paper presents one such system and related experiments performed on a real road with real cars. The driving system gets its input via an RTK DGPS device and communicates its positions to one another via a wireless local area network link. It outputs signals controlling the pressure on the throttle and brake pedals. The control system is based on fuzzy logic, which is considered best to deal with processes as complex as driving. Two mass produced Citroën Berlingo electric vans have been instrumented, providing them with computer controlled actuators over the brake and the throttle to achieve human-like driving. The results of the experiments show that the behavior of the vehicles is very close to human and that they adapt to driving incidences, increasing the safety of the driving and permitting cooperation with manually driven cars.
DescriptionThe authors are with the Industrial Computer Science Department, Instituto de Automática Industrial (CSIC), 28500 Madrid, Spain
URIhttp://hdl.handle.net/10261/3207
DOI10.1109/TVT.2007.897632
Appears in Collections:(IAI) Artículos
Files in This Item:
File Description SizeFormat 
Cooperative.pdf617,85 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.