Abstract
Traffic congestion is a major problem in most of the countries now-a-days. It occurs mainly in large urban cities. It happens due to the rapid growth in number of vehicles all over the World. As a result traffic jam occurs and vehicles do not run efficiently and hence noise pollution, carbon dioxide emission, waiting time at the traffic signal increases. In order to have a smooth traffic flow, the traffic problem needs to be controlled. In this regard the fuzzy logic technology can be used for monitoring and controlling the traffic system. Here electronic sensors are used to detect number of vehicles waiting at the traffic junction and hence action can be taken accordingly to control the traffic jam. In this paper it is represented that how the fuzzy logic controller system is more effective and has better performance over conventional controller system with cost effect in the field of decision making to control the traffic. The main objective of this paper is to sensitize all the people about the benefits of using the fuzzy logic technique in the field of traffic control system.
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Acharya, S., Dash, K.K., Chaini, R. (2020). Fuzzy Logic: An Advanced Approach to Traffic Control. In: Nayak, J., Balas, V., Favorskaya, M., Choudhury, B., Rao, S., Naik, B. (eds) Applications of Robotics in Industry Using Advanced Mechanisms. ARIAM 2019. Learning and Analytics in Intelligent Systems, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-030-30271-9_17
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DOI: https://doi.org/10.1007/978-3-030-30271-9_17
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