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Title	Intelligent Traffic Congestion Control System In Smart City
ID_Doc	32599
Authors	Akour I.; Nuseir M.T.; Al Kurdi B.; Alzoubi H.M.; Alshurideh M.T.; AlHamad A.Q.M.
Year	2024
Published	Studies in Big Data, 117
DOI	http://dx.doi.org/10.1007/978-3-031-31801-6_13
Abstract	Congestion in the domain of transportation typically refers to an overload of vehicles on a certain stretch of road at a specific moment, resulting in speeds that are slower, sometimes significantly slower, than normal or “free flow” norms. Congestion-free traffic has been the main goal for a decade, and many methodologies have been embraced to make blockage-free streets. Sadly, street traffic is constrained by antiquated traffic lights (tri-variety signals) no matter the persistent exertion committed to creating and further developing the traffic stream. This study adopts a clever model to control congestion utilizing AI (ML) strategies. These ML procedures show cutting-edge execution to monitor and prevent congestion. The proposed model implements fit in making secure correspondence organizations and safeguarding information spillage to keep away from traffic jams. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Author Keywords	Intelligent system; Smart city; Traffic congestion control system

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