Intellegent Traffic Light Control System for Isolated Intersection Using Fuzzy Logic
JAVED ALAM, M. K. PANDEY, HUSAIN AHMED
Available Online April 2013.
- 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.
- 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 (CAC2S 2013) PB - Atlantis Press SP - 209 EP - 215 SN - 1951-6851 UR - https://www.atlantis-press.com/article/6306 ID - ALAM2013/04 ER -