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Title	Simulation-Based Traffic Management Model To Minimize The Vehicle Congestion In Traffic Signals
ID_Doc	48920
Authors	Satkunarajah S.; Puvanendran R.
Year	2023
Published	ICAC 2023 - 5th International Conference on Advancements in Computing: Technological Innovation for a Sustainable Economy, Proceedings
DOI	http://dx.doi.org/10.1109/ICAC60630.2023.10417520
Abstract	The proliferation of technological advancements within urban areas attracts individuals to urban centers, thereby resulting in a surge of vehicular congestion during periods of high demand. Nevertheless, the problem of congestion at points of intersection plays a substantial role in the initiation and spread of traffic congestion. The majority of conventional methods for traffic control require a greater degree of computational intricacy. However, the duration of traffic light cycles remains consistent and equal for all directions with lane control, which causes unnecessary vehicle congestion. In this paper, we propose a model that additionally utilizes an approach to dynamically adjust traffic light schedules in four-way intersections in real-time, taking into consideration variations in traffic density. We have also considered mainly two traffic scenarios, such as light traffic conditions and heavy traffic conditions. In our simulation experiment, it is clearly seen that our proposed approach of dynamically changing the traffic light schedule outperforms conventional traffic control with a fixed time duration. Therefore, our proposed model has the potential to serve as the preferred choice for transportation planning in smart-city-oriented transport systems. © 2023 IEEE.
Author Keywords	Green-Signaling; Traffic Control; Traffic Signal; Vehicle Congestion

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