Proceedings of the Conference on Advances in Communication and Control Systems-2013

Intellegent Traffic Light Control System for Isolated Intersection Using Fuzzy Logic

Authors
JAVED ALAM, M. K. PANDEY, HUSAIN AHMED
Corresponding Author
JAVED ALAM
Available Online April 2013.
Abstract
Traffic is the major problem which every country faces because of the increase in number of vehicles throughout the world, particularly in large urban areas. Therefore the need arises for simulating and optimizing traffic control algorithms to better accommodate this increasing demand. Fuzzy optimization deals with finding the values of input parameters of a complex simulated system which result in desired output. Traditional techniques may require an enormous amount of simulation runs to evaluate the system. Describes, design and implementation of an intelligent traffic lights control system based on fuzzy logic technology. Software has been developed in MATLAB to simulate the situation of an isolated traffic junction based on fuzzy logic. Simulation results show that the fuzzy logic controller has better performance and is more cost effective than fixed time controller. Moreover, Fuzzy optimization is more flexible than Traditional techniques.
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Proceedings
Proceedings of the Conference on Advances in Communication and Control Systems-2013
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-90-78677-66-6
ISSN
1951-6851
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - JAVED ALAM
AU  - M. K. PANDEY
AU  - HUSAIN AHMED
PY  - 2013/04
DA  - 2013/04
TI  - Intellegent Traffic Light Control System for Isolated Intersection Using Fuzzy Logic
BT  - Proceedings of the Conference on Advances in Communication and Control Systems-2013
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/6306
ID  - ALAM2013/04
ER  -