Applications of Fuzzy Mathematics in Traffic Control Systems: A Comprehensive Review of Fuzzy Logic Methodologies
Keywords:
Fuzzy mathematics, fuzzy logic, traffic signal control, intelligent transportation systems, adaptive traffic management, fuzzy-neural systems, traffic optimizationAbstract
Urban traffic congestion has emerged as a major global challenge, adversely affectingeconomic productivity, fuel efficiency, environmental sustainability and public safety. Conventional fixed-time traffic signal systems
References
Niittymäki, J., & Pursula, M. (2000). Signal control using fuzzy logic. Fuzzy Sets and Systems, 116(1), 11–22. https://doi.org/10.1016/S0165-0114(98)00472-8
Niittymäki, J. (2001). General fuzzy rule base for isolated traffic signal control—Rule formulation. Transportation Planning and Technology, 24(3), 227–247. https://doi.org/10.1080/03081060108717667
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Published
2016-12-25
How to Cite
Shivdeep Kaur. (2016). Applications of Fuzzy Mathematics in Traffic Control Systems: A Comprehensive Review of Fuzzy Logic Methodologies . Journal of Computational Analysis and Applications (JoCAAA), 21(7), 19–29. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5423
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