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