DocumentCode
2158691
Title
Link delay estimation using fuzzy logic
Author
Tamimi, Sabah ; Zahoor, Muhammad
Author_Institution
Coll. of Comput., Al Ghurair Univ., Dubai, United Arab Emirates
Volume
2
fYear
2010
fDate
26-28 Feb. 2010
Firstpage
406
Lastpage
411
Abstract
Traffic congestion poses a major problem not only in developing countries but also in developed countries due to various reasons. When subjected to traffic congestion, the travelers are likely to face delays both at intersections (road junctions) and on road links. Delays can occur due to some technical factors (traffic volume, traffic light cycle) and non-technical factors (road conditions, weather and visibility). An estimate on the level of traffic delay can be helpful in providing information to travelers for effective route selection. There are many publications on estimating traffic delays, but these are mainly based on mathematical models. Fuzzy logic has proved to be an important approach to model both technical non technical factors. This paper presents a fuzzy approach to delay estimation on road links.
Keywords
fuzzy logic; mathematical analysis; road traffic; developed countries; developing countries; fuzzy logic; mathematical models; nontechnical factors; road link delay estimation; route selection; technical factors; traffic congestion; Delay effects; Delay estimation; Detectors; Educational institutions; Fuzzy logic; Humans; Mathematical model; Roads; Traffic control; Vehicles; Traffic congestion; fuzzy logic; road link delay estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5585-0
Electronic_ISBN
978-1-4244-5586-7
Type
conf
DOI
10.1109/ICCAE.2010.5451575
Filename
5451575
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