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Title	Big Traffic Data Analytics For Smart Urban Intelligent Traffic System Using Machine Learning Techniques
ID_Doc	12161
Authors	Hlaing S.S.; Tin M.M.; Khin M.M.; Wai P.P.; Sinha G.R.
Year	2020
Published	2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
DOI	http://dx.doi.org/10.1109/GCCE50665.2020.9291790
Abstract	Due to huge number of private and public vehicles in last two decades, the traffic load and congestion have increased significantly, which is major problem in transportation system. An intelligent traffic management system becomes an important part of the transportation system to manage the traffic properly in smart cities. In this paper, we have proposed intelligent traffic management system to build smart platform in Mandalay, Myanmar. The main aim of the paper is to reduce traffic congestion, road crash accidents, fuel consumption and save travel time. To provide safe, comfortable, and less frustrating travel, this paper uses big data technology and machine learning technique for analysis of the volume of traffic data and predicts optimal road traffic using machine learning. © 2020 IEEE.
Author Keywords	Big data analytics; intelligent Traffic; machine learning; Mandalay; Smart city

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