Analysis of Artificial Intelligence in Traffic Congestion and Management System

Samim, Asifullah (2023) Analysis of Artificial Intelligence in Traffic Congestion and Management System. International Journal of Science and Research (IJSR), 12 (1). pp. 679-684. ISSN 2319-7064

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Abstract

The management of road traffic has undergone a radical change as a result of the quick development of artificial intelligence (AI). The movement of people, things, cars, and cargo at various points on the transportation network may now be predicted and controlled by AI with remarkable accuracy. AI is making it feasible to prevent accidents by optimising flows at crossings and enhancing safety during times when roads are closed due to construction or other activities, in addition to offering citizens better service than ever before. Furthermore, efficient mass transit, like ride-sharing services, has been made possible by AI's capacity to process and analyse enormous volumes of data. Then how is road traffic management being revolutionised by AI? The study uses secondary data for analysis of the present study. This study is limited to automated vehicles including Taxis, Buses, Delivery vans or drones Trains, Commercial aircraft etc. .

Item Type:	Article
Subjects:	D Physical Science > Computer Science
Divisions:	Department of > Computer Science
Depositing User:	C Swapna Library Assistant
Date Deposited:	27 Feb 2023 10:38
Last Modified:	27 Feb 2023 10:38
URI:	http://eprints.uni-mysore.ac.in/id/eprint/17447

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