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Big Traffice Data Analytic for smart urban city using machine learning Techniques
http://hdl.handle.net/20.500.12678/0000007437
http://hdl.handle.net/20.500.12678/0000007437aa125893-1b74-4861-8db8-289bab798b21
29ced889-af24-4297-91c5-2bb3f72272f0
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Big Traffice Data Analytic for smart urban city using machine learning Techniques | |||||
Language | en | |||||
Publication date | 2020-10-13 | |||||
Authors | ||||||
Su Su Hlaing | ||||||
GR Sinha | ||||||
Mie Mie Khin | ||||||
Phyo Phyo Wai | ||||||
Mie Mie Tin | ||||||
Description | ||||||
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. | ||||||
Keywords | ||||||
Big data, machine learning ,smart city | ||||||
Identifier | http://ieee-gcce.org/ | |||||
Conference papers | ||||||
IEEE GCCE 2020 | ||||||
2020-10-13 | ||||||
2020IEEE 9th Global Conference on Consumer Electronics (IEEE GCCE 2020) | ||||||
Kobe,Japan | ||||||
http://ieee-gcce.org/ |