HOME INDEXING CALL FOR PAPERS JOURNAL POLICY MANUSCRIPT CURRENT ARCHIVES ONLINE SUBMISSION EDITORIAL TEAM
   
TITLE : MOBILE BASED GIS FOR TRANSPORTATION USING MULTILAYER FEEDFORWARD NEURAL NETWORK  
AUTHORS : Priya Iyer K.B      Shanthi V      Prashanth Papanasam S       
ABSTRACT :

The technological evolution which occurred in Communication, GIS and GPS systems favored the novel techniques in building the intelligent transportation systems. The Advanced Traveler Information Systems (ATIS) which is part of ITS assist the travelers with travel scheduling and route information to improve the convenience and efficient travel. Existing ATIS applications focuses only on traffic aware trip planning based on user point of interest. In this paper, we present a new ATIS System called Mobile enabled Geographic Information system for Transportation (MGIS-T) which provides travel information based on user preferences such as mode of travel(like car, bike, walk etc ) and keyword based point of interest. For the first time, the trip is planned according working hours of point of interest categories. New algorithms were developed which provides route information as well as shortest path to reach POI based on travel time as metric. The CPU time and I/O cost incurred by the proposed algorithm were shown experimentally. As a result, the MGIS-T system provides the user with effective routes according to the user's query preferences efficiently.

Keywords: Intelligent Transportation System, Trip Planning, Spatial Queries, GIS, Location based services, GPS.
 
  Download Full Paper
 
Copyrights ©Sathyabama University.
Powered By: Infospace Technologies (I) Pvt ltd