Performance Evaluation of VANETs in Different Real Map Scenarios

  • Ryuji Ono
  • Elis KullaEmail author
  • Evjola Spaho
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 2)


With the advancement of Vehicular technologies, Vehicular Adhoc Networks will soon be a reality in our daily lives. However in order to fully take advantage of the new applications, we need to consider different parameters, while implementing the network. Road patterns, types of data, vehicle density and so on are some parameters that can affect the performance. In this paper we conduct simulations for VANETs in the Japanese city of Soja, Okayama Prefecture and one of the busiest parts of Tokyo metropolitan area, Shibuya. In order to create the road map we used real data from Open Source Map (OSM). Then, we generated mobility traces from eWorld into SUMO-compatible format. The data traffic is generated and evaluated by NS3 and its related tools. We investigate the effect of road patterns, types of traffic data and vehicle density.


Packet Delivery Ratio Optimize Link State Routing Vehicle Density Tokyo Metropolitan Area Road Pattern 
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  1. 1.
    J. Harri, F. Filali and C. Bonnet, Mobility Models for Vehicular Ad Hoc Networks: A Survey and Taxonomy, IEEE Communications Surveys & Tutorials, Vol. 11, No. 4, pp. 19-41, 2009.Google Scholar
  2. 2.
    F. Bai, N. Sadagopan, and A. Helmy, IMPORTANT: A Framework to Systematically Analyze the Impact of Mobility on Performance of Routing Protocols for Ad-hoc Networks, In Proc. of IEEE INFOCOM-2003, pp. 825-835, March-April 2003.Google Scholar
  3. 3.
    N. Sadagopan, F. Bai, B. Krishnamachari, and A. Helmy, PATHS: Analysis of Path Duration Statistics and Their Impact on Reactive MANET Routing Protocols, In Proc. of the 4-th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc-2003), pp. 245-256, 2003.Google Scholar
  4. 4.
    M. Fiore, J. Harri, F. Filali, and C. Bonnet, Vehicular Mobility Simulation for VANETs, Proc. of the 40-th Annual Simulation Symposium (ANSS-2007), pp. 301-309, 2007.Google Scholar
  5. 5.
    L. Smith, R. Beckan, R. Anson, K. Nagel, and M. Williams, TRANSIMS: Transportation Analysis and Simulation System, In Proc. of the 5-th National Transportation Planning Methods Applications Conference, LA-UR 95-1664, April 1995.Google Scholar
  6. 6.
    M. Piorkowski, M. Raya, A. L. Lugo, M. Grossglauser, and J. P. Hubaux, Joint Traffic and Network Simulator for VANETs, In Proc. of Mobile and Information Communication Systems Conference (MICS-2006), October 2006, Available on line at:
  7. 7.
    G. De Marco, M. Tadauchi and L. Barolli, Description and Analysis of a Toolbox for Vehicular Networks Simulation, In Proc. of IEEE ICPADS/PMAC-2WN-2007, Vol. 2, pp. 1-6, 2007.Google Scholar
  8. 8.
    K. Nagel and M. Schreckenberg, A Cellular Automaton Model for Freeway Traffic, Journal of Physics I France, Vol. 2, pp. 2221-2229, 1992.Google Scholar
  9. 9.
    E. Spaho, Gj. Mino, L. Barolli and F. Xhafa, Goodput and PDR Analysis of AODV, OLSR and DYMO Protocols for Vehicular Networks using CAVENET, International Journal of Grid and Utility Computing (IJGUC), Vol. 2, No. 2, pp. 130-138, 2011.Google Scholar
  10. 10.
    Open Street Map. Online at
  11. 11.
    eWorld framework. Online at
  12. 12.
    SUMO User Documentation. Online at
  13. 13.
    Network Simulator version 3. Online at
  14. 14.
    C. Perkins, E. Belding-Royer and S. Das, “Ad hoc On-Demand Distance Vector (AODV) Routing”, IETF RFC 3561 (Experimental), 2003.Google Scholar
  15. 15.
    T. Clausen and P. Jacquet, “Optimized Link State Routing Protocol (OLSR)”, IETF RFC 3626, October 2003.Google Scholar
  16. 16.
    C. E. Perkins and P. Bhagwat, “Highly Dynamic Destination-Sequenced Distance-Vector Routing (DSDV) for Mobile Computers”, In Proc. of ACM SIGCOMM Conference on Communications Architectures, Protocols and Applications, pp. 234-244, 1994.Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Information ad Computer EngineeringOkayama University of ScienceOkayamaJapan
  2. 2.Department of Electronics and CommunicationsPolytechnic University of TiranaTiranaAlbania

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