2026-04-17T08:36:45Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4268 2021-12-13T03:27:41Z 1582963302567:1597824175385 user-ucsy

Estimation of Road Traffic Congestion using GPS Data Lwin, Hnin Thant Naing, Thinn 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. 2015-12 http://hdl.handle.net/20.500.12678/0000004268 https://meral.edu.mm/records/4268