A Review of Different Traffic Light Controllers Using Fuzzy Approach
Keywords:
Triangular Membership Function (TMF), Fuzzy Logic, FIS Tool of MATLAB, Traffic Light Controller/Traffic Signal Controller (TLC/TSC)Abstract
Now a days, the traffic movement on the road is increasing due to increase in population which leads to traffic jam and traffic jam creates many problems in our daily life such as wastage of money & time, growing pollution, delay in services and increase the chances of accidents. Since these traffic problems are based on ambiguity, uncertainty & impression and Fuzzy logic is used to solve the problems based on ambiguity, uncertainty and impression, therefore Fuzzy logic is used to reduce traffic congestion.
References
- Zadeh, Lotfi A. Fuzzy sets. Information and Control, 8(3), 338-353, 1965.
- Zadeh, Lotfi A. The Concept of a Linguistic Variable and its Application to Approximate Reasoning -1. Information Sciences, 8(3), 199-249. 1975.
- Dharmendra Kumar, J.P. Tripathi, R.K. Shukla, “Fuzzy Logic and its Applications in the Road Traffic System”, International Journal of Scientific Research in Science and Technology (IJSRST), Online ISSN: 2395-602X, Print ISSN: 2395-6011, Volime 9 Issue 6, pp. 734-737, November-December 2022.
- Zadeh, L.A., The Birth and Evolution of Fuzzy Logic, Intern. J. of General System, 17(2-3), pp. 95-105, 1990.
- Dharmendra Kumar, J. P. Tripathi and R.K. Shukla, The Role of Fuzzification and Defuzzification in Traffic Light Controller, International Research Journal of Mathematics, Engineering and IT. Vol. 7, Issue 12, 19-27,2022.
- Shukla H.S., Jitesh Pati Tripathi, Traffic Management System Using Fuzzy Logic, Journal of International Academy of Physical Sciences, Vol. 15 No. 2, 189-196,2011.
- Tripathi Jitesh P., Shukla H.S., Management of a Road Traffic Junction Using Fuzzy Lights Controller, Journal of Rajasthan Academy of Physical Sciences (JRAOPS), Vol.11 No. 3,209-222,2012.
- R.R. Yager, “Level sets and the Extension Principle for Interval Valued Fuzzy Sets and its Applications to Uncertainty Measures”. Information Sciences, Vol. 178, pp.3565-3576, 2008.
- H. Bustince, E. Barrenechea, M. Pagola, J. Fernandez, “Interval valued Fuzzy sets Constructed from Matrices: Application to edge detection “, Fuzzy Sets and Systems, vol.160, pp. 1819-1840, 2009.
- Tripathi J.P., Kumar D, Singh U.P., A Review of Different Fuzzy Models to Evaluate Vehicular Traffic System. SAMRIDDHI: A Journal of Physical Sciences, Engineering and Technology, 15(1), 49-54,2023.
- Shah., Jha, J., Zala, M., & Khetra, N., Importance of Traffic Monitoring System by Density and Flow Control for Indian Road System using LOT. International Journal for Scientific Research & Development, 3(10), 167-170,2015.
- Tan, K., Khaolid, M., & Yusof, R., Intelligent Traffic Lights Control by fuzzy logic. Malaysian Journal of Computer Science, 9(2), 29-35,1996.
- Jha, M., & Shukla, S., Design of Fuzzy Logic Traffic Controller for Isolated Intersections Engineering Research and Application, 4(6), 1-6,2014.
- Shoaib Kamran and Olivier Hass, “A Multilevel Traffic Incidents Detection Approach: Identifying Traffic Patterns and Vehicles Behaviors using Real Time GPS data “, IEEE Intelligent Vehicles Symposium Istanbul, Turky, June 13-15, 912-917,2007.
- M. H. Malhi, M.H. Aslam, Faisal Saeed, Owais Jawed, M.D. Fraz, “Vision Based Intelligent Traffic Management System “, Frontiers of Information Technology, pp. 137-141, 2011.
- Dharmendra Kumar & J.P. Tripathi,” Traffic Light Controller for smart cities using fuzzy logic”, J. of Ramanujan Society of Mathematics and Mathematical Sciences, Vol. 10, No. 2, pp. 199-212,2023.
- Mohanaselvi, S., & Shanpriya, B., Application of FUZZY Logic to Control Traffic signals. AIP Conference Proceedings 2112, 020045(1-9), 2009.
- Vinay Yadav, Dr. J.P. Tripathi, Dr. Bhawesh Kumar Thakur & Dharmendra Kumar., Traffic Light Controller for Urban Cities Using Fuzzy Approach. IJISAF., 12(2s). 665-670, 2023.
- Ramzanzad, M., & Kanan, H.R., A New Method for Design and Implementation of Intelligent Traffic Control System Based on Fuzzy Logic Using FPGA. 13th Iranian Conference on Fuzzy System (IFSC), 2013.
- Malhi, M.H., Aslam M.H., Saeed F., Javed, O., & Fraz, M., Vision Based Intelligent Traffic Management System. Frontiers of Information Technology, 137-141, 2011.
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