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.
