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  1. University of Computer Studies, Yangon
  2. Faculty of Computer Science

Estimation of Road Traffic Congestion using GPS Data

http://hdl.handle.net/20.500.12678/0000004268
http://hdl.handle.net/20.500.12678/0000004268
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fd5ca530-930a-459c-b6df-a65c5c501925
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IJARCCE IJARCCE 1(1).pdf (545 Kb)
Publication type
Article
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Publication
Title
Title Estimation of Road Traffic Congestion using GPS Data
Language en
Publication date 2015-12
Authors
Lwin, Hnin Thant
Naing, Thinn
Description
Road traffic congestion is headache major problem in urban area of both developing and developedcountries. In order to reduce this problem, traffic congestion states of road networks are estimated so that congestedroad can be avoided. In this paper, we estimate the real time traffic congestion states of user’s desired source anddestination and present the estimated results in Google Map. We use Hidden Markov model (HMM) for estimating thetraffic condition states of these road network using both historical and real time data. To get these traffic data we useGPS trajectories data collected from mobile phones on vehicles. We evaluate our estimating system using datasetgenerated by collect data from phone-equipped vehicles over a period of 4 months in Yangon.
Keywords
traffic, HMM, GPS, estimation
Identifier 2278-1021
Journal articles
International Journal of Advanced Research in Computer and Communication Engineering
Conference papers
Books/reports/chapters
Thesis/dissertations
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