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
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;
Conference_Titel :
Communications, Devices and Intelligent Systems (CODIS), 2012 International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4673-4699-3
DOI :
10.1109/CODIS.2012.6422210
