MERAL Myanmar Education Research and Learning Portal
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Estimation of Road Traffic Congestion using GPS Data
http://hdl.handle.net/20.500.12678/0000004268
http://hdl.handle.net/20.500.12678/0000004268ce966c2e-3298-4bf7-b5bd-2e71a8aed8c1
fd5ca530-930a-459c-b6df-a65c5c501925
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IJARCCE 1(1).pdf (545 Kb)
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Article | ||||||
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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 |