Real Time Traffic Estimation for Urban Road Networks

Abstract

In India, Traffic becomes the major problem/issue on urban roads as well as on the highways. Traffic State Estimation is a fundamental work in Intelligent Transportation System (ITS). So, we need to find out a Systematic solution to efficiently estimate the traffic state of large-scale urban road networks. We can predict the traffic state of road by using Global Positioning System (GPS) device mounted on the vehicles. By using the GPS device we can easily analyze number of vehicles and their spatiotemporal(space and time) location through the real time traffic data updates continuously in the database through GPS application used on the Android phones. After, predicting the traffic state through GPS device, the system suggests alternate route to the user. But the alternate route must be Least Congested, Shortest Distance and Minimal Delay path. There are some possibilities that some vehicles on the Indian road may not have GPS device mounted on it. And because of this we can count those vehicles based on the total traffic state by using Google Map Service or through network. The approach is to consider the signals on the road. So in this manner we will be able to provide the alternate route which contains less traffic as well as the shortest distance and less time delay to the priority vehicles like Ambulance and Fire Bridge. And Because of the traffic signal consideration, the delay due to signals can be reduced easily. All the operations are going to be perform on the real time traffic data set by using GPS.