DocumentCode
3106782
Title
Neuro-Fuzzy based adaptive traffic flow control system
Author
Iqbal, M. Asad ; Zahin, A. ; Islam, Z.S. ; Kaiser, M. Shamim
Author_Institution
Electr. Electron. & Commun. Eng., Mil. Inst. of Sci. & Technol., Dhaka, Bangladesh
fYear
2012
fDate
28-29 Dec. 2012
Firstpage
349
Lastpage
352
Abstract
In this paper a Neuro-Fuzzy (NF) based traffic control system has been proposed which can take intelligent decision based on present traffic condition. Here we have trained the Adaptive Neuro-Fuzzy Inference System (ANFIS) system by variable traffic data and the output of this system is compared with Fuzzy logic based and Fixed Time based traffic control system. NF based traffic control system has been found more efficient as the average vehicular delay and the number of vehicles waiting in an intersection have been reduced.
Keywords
adaptive control; fuzzy control; neurocontrollers; road traffic control; adaptive neuro-fuzzy inference system; average vehicular delay; intelligent decision; neuro-fuzzy based adaptive traffic flow control system; Silicon;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Devices and Intelligent Systems (CODIS), 2012 International Conference on
Conference_Location
Kolkata
Print_ISBN
978-1-4673-4699-3
Type
conf
DOI
10.1109/CODIS.2012.6422210
Filename
6422210
Link To Document