2026-10-23T14:02:03Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/3317 2021-12-13T00:46:09Z 1582963302567:1597824273898 user-ucsy

Estimation of Road Traffic Congestion System using GPS Data on Mobile Cloud Lwin, Hnin Thant Naing, Thinn Thu Road traffic jams continue to remain a majorproblem in most cities around the world, especially indeveloping countries.Congested roads can be avoidedby estimating the real time road traffic conditions. Inthis paper, we estimate the traffic congestionconditions using hidden markov model. To get the realtime data, we use GPS data from mobile phone onvehicles for cheaper estimation. We accept the user’squery including GPS data from the mobile phone andcommunicate with the cloud and present result to user.When we get the real time GPS data from mobilephone in vehicle, we use Map Matching algorithm tomatch these GPS data to road network to know whichvehicles are on which roads. Framework based onHidden Markov model is used to estimate the trafficcongestion on each road by considering both historicaltraffic and present traffic flow data. 2015-02-05 http://hdl.handle.net/20.500.12678/0000003317 https://meral.edu.mm/records/3317