Estimation of Road Traffic Congestion System using GPS Data on Mobile Cloud

Abstract

Road traffic jams continue to remain a major problem in most cities around the world, especially in developing countries.Congested roads can be avoided by estimating the real time road traffic conditions. In this paper, we estimate the traffic congestion conditions using hidden markov model. To get the real time data, we use GPS data from mobile phone on vehicles for cheaper estimation. We accept the user’s query including GPS data from the mobile phone and communicate with the cloud and present result to user. When we get the real time GPS data from mobile phone in vehicle, we use Map Matching algorithm to match these GPS data to road network to know which vehicles are on which roads. Framework based on Hidden Markov model is used to estimate the traffic congestion on each road by considering both historical traffic and present traffic flow data.