Abstract
The article represents new and effective methods of controlling urban traffic using a controller based on very efficient fuzzy logic. The first traffic controller based on fuzzy logic was introduced in 1977. It was designed for two simple one-way streets and on the principle of simply extending the green hour without vehicles being able to alternate. Thereafter, the traffic controllers are advanced and take into account complexity such as movement in all directions, the connection of several sections, phase sequences, congestion and network. The main reason for better development in the field of blur-based traffic controller is due to its constantly improved performance compared to the conventional approach. The fuzzy method has fueled new adaptive traffic control systems as well as the decision-making process for transport management systems. The method has good potential to overcome many traffic-related problems in countries like India, which has many overcrowded metropolitan cities such as Chennai, Mumbai and Bangalore and Ahmedabad. The document also deals with current traffic conditions, available resources and techniques used to manage heterogeneous traffic in the city of Ahmedabad as well as its statistics.
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Vaghela, R., Solanki, K. (2021). Fuzzy Logic based Light Control Systems for Heterogeneous Traffic and Prospectus in Ahmedabad (India). In: Kotecha, K., Piuri, V., Shah, H., Patel, R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_28
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DOI: https://doi.org/10.1007/978-981-15-4474-3_28
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