TRIS Online Record

Title	CAR CRUISING SYSTEM INCORPORATING ART-FNN MAN-MACHINE INTERFACE IN ADAPTATION TO VARIOUS DRIVING BEHAVIORS
Accession No	00783278
Authors	Lu, Pai-Chuan
Journal Title	International journal of computer applications in technology. Vol. 12 no. 2-5
Corp. Authors / Publisher	National Lien Ho College of Technology and Commerce
Publication Date	19990000
Description	p. 160-173
Languages	English
Abstract	This paper describes how an adaptive resonance theory (ART) network can be combined with a fuzzy neural network (FNN) to obtain safe car following headways for cars that are traveling at different speeds. The predicted headways are compared with actual field data, proving the accuracy of the system.
Supplemental Information	Publication Date: 1999
TRT Terms	Adaptive control ; Artificial intelligence ; Car following ; Fuzzy logic ; Fuzzy systems ; Human machine systems ; Neural networks
Availability	Item held at Univ. of Calif., Davis, Physical Sciences Library Refer to: http://www.lib.ucdavis.edu/access/circweb/circle.html# Available from UC Berkeley Transportation Library through interlibrary loan or document delivery Order Document: http://library.its.berkeley.edu
Document Source	UC Berkeley Transportation Library Source Data: PATH Record Number 18426
TRIS Files	PATH
Database	TRIS Online

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