A Unified And Innovative Route Prediction Using Bigdata Trajectory Clustering

Abstract

Clustering large number of trajectories is an important aspect in intelligent transportation system. It reveals valuable information about traffic like how traffic changes from time to time and day to day.

The existing system like Flow-based trajectory clustering schemes is not capable for analyze routes on a city road network.  In existing NEAT[1] system, it is very tough to determine trajectories count on each cluster since it is one of the crucial reasons for planning routes in city road network[2]. In existing NETSCAN [3] system, first it scans the traffic over a network [4] one trajectory can assign to two or more clusters. Therefore, it is very tough to identify the correct trajectory count on each cluster.

The proposed system have capability to predict route in dense city road network by using A* algorithm [5] with heuristic function.