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Research Article · Open access · Published 30 November 2021

Emerging Technologies for Driving Road Safety and Traffic Management for Urban Area

Yogesh Golhar1 & Manali Kshirsagar1

Journal of Computer Science, Volume 17, Issue 11, pp. 1104–1115 · doi.org/10.3844/jcssp.2021.1104.1115

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Abstract

The on-road traffic increases due to the exponential growth of the number of vehicles on the road. That leads to undesirable road conditions and makes urban population life uncomfortable. It includes traffic congestion, traffic jams and long queues at traffic signals and toll booths. Many people violate road traffic rules and regulations rules every day. Manual human effort and supervision are not enough to resolve these issues. Still, many road traffic managements follow the traditional approach, which results increase in road accidents that makes humans seriously injured and even loss of life. To address these issues, we have proposed four strategies as (1) congestion status on square, (2) efficient toll tax collection, (3) fine collection on road for the people who violate road traffic rules, (4) shortest pathfinder for drivers. This research work mainly focuses on the various strategies and their implementation with the help of the Map-Reduce framework. We have combined video surveillance, big data analytics algorithm and proposed an innovative way to manage and handle the road traffic.

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Open access. This article is licensed under a Creative Commons Attribution 4.0 International Licence (CC BY 4.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

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Golhar, Y. & Kshirsagar, M. (2021). Emerging Technologies for Driving Road Safety and Traffic Management for Urban Area. Journal of Computer Science, 17(11), 1104–1115. https://doi.org/10.3844/jcssp.2021.1104.1115

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Volume 17, Issue 11
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Emerging Technologies for Driving Road Safety and Traffic Management for Urban AreaJournal of Computer Science · Volume 17, Issue 11 · pp. 1104–1115 · CC BY 4.0Download