Implementation of Novel Routing Algorithm for Updating the Road Network Data Instantaneously

International Journal of Geoinformatics and Geological Science

© 2014 by SSRG - IJGGS Journal

Volume 1 Issue 1

Year of Publication : 2014

Authors : R.Aaditya mehra, Dr.G.Charan yadav

10.14445/23939206/IJGGS-V1I1P104

How to Cite?

R.Aaditya mehra, Dr.G.Charan yadav, "Implementation of Novel Routing Algorithm for Updating the Road Network Data Instantaneously," SSRG International Journal of Geoinformatics and Geological Science, vol. 1,  no. 1, pp. 10-13, 2014. Crossref, https://doi.org/10.14445/23939206/IJGGS-V1I1P104

Abstract:

The objective of this paper is to improving the routing speed and identifying the shortest path to updating the road network information more frequently. This system provides a smooth transmission of data between the client and server by allowing the clients to query through the shortest path. The client can query to the server to get information about shortest path on the road and travel time of the path. There is lot of dynamic routing algorithms and mechanisms are available but this paper proposes the dynamic routing algorithm. This algorithm is well suited for updating the road network.

Keywords:

routing, distance vector routing algorithm, road network, router configuration

References:

[1] Astarita, V., Bertini, R. L., d'Elia, S., Guido, G., Motorway traffic parameter estimation  from mobile phone counts, European Journal of Operational Research, Vol.175,  pp.1435-1446, 2006. 
[2] Bar-Gera, H., Evaluation of a cellular phone-based system for measurements of traffic  speeds and travel times: A case study from Israel, Transportation Research Part C,  Vol.15, pp.380-391, 2007. 
[3] Bennett, C.R., Chamorro, A., Chen C., de Solminihac, H., Flintsch, G.W., Data  Collection Technologies for Road Management, Version 1.0, East Asia Pacific  Transport Unit, The World Bank, Washington, D.C., April 2005.
[4] Bishop, R., Arizona I-19 Wi-Fi Corridor: Assessment of Opportunities for Probe Data    Operations, Report TRQS-02, prepared for the Arizona Department of Transportation, 2005. 
[5] Ehlert, A., Bell, M.G.H., Grosso, S., The optimisation of traffic count locations in road  networks, Transportation Research Part B, Vol. 40 , pp. 460–479, 2006. 
[6] Bettstetter, et al.: GSM Phase 2+, General Packet Radio Service GPRS: Architecture, Protocols, and Air Interface, IEEE Communications Surveys, Third Quarter 1999, Vol.  2, No. 3. 
[7] Boudet, L., Midenet, S.: A Spatiotemporal Data Fusion Model for Occupancy State Estimation: An Evidential Approach. Presented at FUSION 2008, the 11th International  Conference on Information Fusion, Cologne, Germany, 30 June - 3 July 2008. 
[8] Browne, R., Foo, S., Huynh, S., Abdulhai, B., & Hall, F.: Comparison and analysis tool for automatic incident detection. Freeway operations, high-occupancy vehicle systems  traffic signal systems, and regional transportation systems management Transportation  Research Record, 2005, 1925, pp. 58–65. 
[9] Capello, D., Liotti, L., Pallaro, N.: Sensore automotive per il rilievo dello stato strada.  Published at Innovazione e Competitività (FIAT internal journal), July 2008. 
[10] Dempster, A.P.: The Dempster–Shafer calculus for statisticians, International Journal of Approximate Reasoning, Volume 48, Issue 2, June 2008, pp. 365-377.