AN ENHANCED ROUTE GUIDE FRAMEWORK FOR SPATIAL DATA SEARCH

In the existing system, GPS-equipped vehicles can be regarded as mobile sensors probing traffic flows on road surfaces and users are usually experienced in finding the fastest (quickest) route to a destination based on query from the historical GPS trajectories of a large number of vehicles, and provide a user with the practically fastest route to a given destination at a given departure time. This also provides the elapsed time to reach the destination. Service integration process helps to retrieve all service details from the server without inquiring query.In the proposed approach, this proposes a time-dependent service graph, where a node is a road segment frequently traversed by other users, to model the intelligence search of LBS and the properties of dynamic road networks. It is used to find the nearest neighbor services. We build the system based on a real world spatial simulation dataset and stored in MOD (moving object database)