A Cooperative Multi-Agent System for Traffic Congestion Management in VANET

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 166)

Abstract

Vehicular ad hoc networks (VANETs) are attracting the interest of a great number of academicians and industrials. One of the most interesting features is the possibility to use a spontaneous and inexpensive wireless ad hoc network between vehicles to exchange useful information such as warning the drivers of an accident or a danger. The very recent researches on Vehicular Ad Hoc networks present novel approaches which combine multi-agent technology with transportation systems. In this paper we focus on how to solve the problem of congestion and traffic management through the application of different agent technologies. Having cars equipped with sensors in a VANET, we propose an approach based on multi mobile agent technology. The empirical results have showed the impact of agent and intelligent communications on the Vehicular Ad Hoc networks in reducing the congestion in VANETs.

Keywords

VANET Routing Protocols Intelligent Agents Mobile Agents NS2 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bazzan, A., Klügl, F.: Multi-Agent Systems for Traffic and Transportation. In: IGI Global, April 30, pp. xiv (2009)Google Scholar
  2. 2.
    Li, F., Wang, Y.: Routing in vehicular ad hoc networks: a survey. IEEE Vehicular Technology Magazine 6, 12–22 (2007)CrossRefGoogle Scholar
  3. 3.
    Urra, O., Ilarri, S., Mena, E., Delot, T.: Using Hitchhiker Mobile Agents for Environment Monitoring. In: Proceedings of PAAMS, March 25-27, pp. 557–566 (2009)Google Scholar
  4. 4.
    Lee, U., Magistretti, E., Gerla, M., Bellavista, P., Lio, P., Lee, K.W.: Bio-inspired Multi-Agent Data Harvesting in a Proactive Urban Monitoring Environment. Elsevier Journal of Ad Hoc Networks 7(4) (June 2009)Google Scholar
  5. 5.
    Fang, Z., Liu, X.: An Agent-Based Intelligent Transport System. In: Shen, W., Yong, J., Yang, Y., Barthès, J.-P.A., Luo, J. (eds.) CSCWD 2007. LNCS, vol. 5236, pp. 304–315. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  6. 6.
    Ghazi, A., Ozkul, T.: Design and Simulation of an Artificially Intelligent VANET for Solving Traffic Congestion. MASAUM Journal of Basic and Applied Sciences 1(2), 278–283 (2009)Google Scholar
  7. 7.
    Tumer, K., Agogino, A.K., Welch, Z., Bazzan, A., Kluegl, F.: Traffic Congestion Management as a Learning Agent Coordination Problem. In: Multiagent Architectures for Traffic and Transportation Engineering. Lecture notes in AI, pp. 261–279. Springer (2009)Google Scholar
  8. 8.
    Gainaru, A., Dobre, C., Cristea, V.: A Realistic Mobility Model Based on Social Networks for the Simulation of VANETs. In: Proc. VTC Spring (2009)Google Scholar
  9. 9.
    Bhakthavathsalam, R., Nayak, S., Murthy, G.: Expediency of Penetration Ratio and Evaluation of Mean Throughput for Safety and Commercial Applications in VANETs. In: International Workshop on Communication Technologies for Vehicles, Proceedings of Nets4Cars 2009, Saint-Petersburg Russia, October 13-14 (2009)Google Scholar
  10. 10.
    Baldessari, R., Festag, A., Matos, A., Santos, J., Aguiar, R.: Flexible connectivity management in vehicular communication networs. In: Third Internationl Workshop on Intelligent Transportation, WIT 2006, Hamburg, Germany, pp. 756–758 (2006)Google Scholar
  11. 11.
    Raya, M., Hubaux, J.P.: Securing vehicular ad hoc networks. Journal of Computer Security 15(1), 39–68 (2007)Google Scholar
  12. 12.
    Danny, B., Oshima, L.M.: Seven Good Reasons for Mobile Agents. Communications of ACM 42(3) (March 1999)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.LRIAUSTHBAlgiersAlgeria

Personalised recommendations