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Smart city article details

Title	Smart City Traffic Control System: A Literature Review
ID_Doc	50549
Authors	Sharma A.; Madan V.; Bhargav V.; Gulati N.
Year	2024
Published	Proceedings of the 14th International Conference on Cloud Computing, Data Science and Engineering, Confluence 2024
DOI	http://dx.doi.org/10.1109/Confluence60223.2024.10463364
Abstract	The world is currently experiencing an unseen increase in the number of vehicles on the road, and our traffic control systems have been struggling to keep up with this rapid growth. This research paper is dedicated to addressing the complex problem of traffic management by thoroughly reviewing the existing academic literature on the topic. One important conclusion garnered is that there's no one-size-fits-all solution to the challenges of traffic. Each city has its unique traffic problems and characteristics. The primary objective, however, for this research is to contribute to the ongoing discussions about traffic management by offering valuable insights and innovative concepts. Looking at the outcome, these insights have the potential to enhance the efficiency of our cities and reduce congestion. These insights mainly relayed the outcome that for each city/road, there can only be one uniquely tailored solution. However, this paper discusses the solutions in making a generalized solution as a base for all traffic sites. Ultimately, our hope for this paper is to help pave the way for more intelligent and adaptable traffic control systems that can revolutionize the way we navigate our urban environments, making them more liveable and sustainable for everyone. © 2024 IEEE.
Author Keywords	Adaptive intelligent; Artificial Intelligence; Fuzzy Logic; Smart Cities; Traffic Control

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