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
Link To Document :
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