DocumentCode :
1793662
Title :
Fuzzy traffic congestion model based on speed and density of vehicle
Author :
Widyantoro, Dwi H. ; Enjat Munajat, M.D.
Author_Institution :
Sch. of Electr. Eng. & Inf., Inst. of Technol. Bandung Bandung, Bandung, Indonesia
fYear :
2014
fDate :
20-21 Aug. 2014
Firstpage :
321
Lastpage :
325
Abstract :
The purpose of this paper is to describe a new approach of detecting traffic jam in the city. Unlike prior works that demonstrate traffic jam through vehicle detection only, this paper attempts to introduce a new fuzzy-based method for modeling traffic congestion levels that consider both the road occupancy levels as well as vehicle movement. Our model has an advantage of describing the traffic condition more precisely. We have performed a simulation of the proposed model using Matlab Fuzzy Toolbox and the preliminary results reveal that the proposed model is promising.
Keywords :
mathematics computing; object detection; road traffic; traffic engineering computing; Matlab fuzzy toolbox; road occupancy levels; traffic condition; traffic congestion levels; traffic jam; vehicle density; vehicle detection; vehicle movement; vehicle speed; Cameras; Global Positioning System; Informatics; Mathematical model; Real-time systems; Roads; Vehicles; FuzzyTraffic Congestion Model; Road Occupancy; Vehicle Movement Measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Informatics: Concept, Theory and Application (ICAICTA), 2014 International Conference of
Conference_Location :
Bandung
Print_ISBN :
978-1-4799-6984-5
Type :
conf
DOI :
10.1109/ICAICTA.2014.7005962
Filename :
7005962
Link To Document :
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