Abstract: In an era characterized by rapid urbanization, the efficient management of traffic stands as a paramount necessity. The challenges posed by traffic congestion, road accidents, and the ever-evolving landscape of infrastructure development require innovative solutions. This project introduces an intelligent traffic management and prediction system harnessing the power of Artificial Intelligence (AI) and Machine Learning (ML). It sets out to revolutionize the management and control of traffic, with a focus on streamlining traffic flow, reducing congestion, enhancing road safety, and supplying critical data for informed infrastructure development. Beyond traditional traffic management, this system offers a suite of advanced features, including convoy route planning and dynamic journey optimization, which is designed to benefit both traffic authorities and road users. This abstract encapsulates the essence of a visionary system that aspires to usher in a smarter, safer, and more organized approach to urban traffic management, poised to harmonize the needs of our ever-growing cities with the demands of modern transportation.
Keywords: Deep Learning, Vehicle Detection, Intelligent Traffic Control
Cite:
Lohit Vishnu Naik, Sanjana Raj, Subeen Hegde, B Shiv Kumar, Ramananda Mallya K, "TRAFFIC MANAGEMENT SYSTEM", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13394.
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DOI:
10.17148/IJARCCE.2024.13394
