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Open Access Journal Article

Intelligent Traffic Management Systems Using Big Data Analytics

by Daniel Brown 1,*
1
Daniel Brown
*
Author to whom correspondence should be addressed.
TET  2022, 33; 4(2), 33; https://doi.org/10.69610/j.tet.20221022
Received: 25 August 2022 / Accepted: 14 September 2022 / Published Online: 22 October 2022
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Abstract

This paper explores the application of big data analytics in the design and implementation of intelligent traffic management systems (ITMS). With the increasing complexity of urban transportation networks and the growing demand for efficient traffic flow, ITMS have become a crucial aspect of modern urban planning. Leveraging the vast amount of data generated by various sources, such as traffic cameras, sensors, and GPS devices, big data analytics can offer valuable insights into traffic patterns, driver behavior, and system performance. The study evaluates the current state of ITMS and identifies key challenges and opportunities in leveraging big data to optimize traffic management. The analysis focuses on data collection, preprocessing, and analysis techniques, as well as the development of predictive models for traffic flow prediction. The paper concludes by highlighting the potential benefits of integrating big data analytics into ITMS, including improved traffic efficiency, reduced congestion, and enhanced public safety.

Keywords: intelligent traffic management systems, big data analytics, urban transportation networks, traffic flow prediction, public safety.;
Copyright: © 2022 by Brown. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Brown, D. Intelligent Traffic Management Systems Using Big Data Analytics. Transactions on Engineering and Technology, 2022, 4, 33. https://doi.org/10.69610/j.tet.20221022
AMA Style
Brown D. Intelligent Traffic Management Systems Using Big Data Analytics. Transactions on Engineering and Technology; 2022, 4(2):33. https://doi.org/10.69610/j.tet.20221022
Chicago/Turabian Style
Brown, Daniel 2022. "Intelligent Traffic Management Systems Using Big Data Analytics" Transactions on Engineering and Technology 4, no.2:33. https://doi.org/10.69610/j.tet.20221022
APA style
Brown, D. (2022). Intelligent Traffic Management Systems Using Big Data Analytics. Transactions on Engineering and Technology, 4(2), 33. https://doi.org/10.69610/j.tet.20221022

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