Simulating Communication in a Service-Oriented Architecture for V2V Networks

  • João F. B. Gonçalves
  • Edgar F. Esteves
  • Rosaldo J. F. Rossetti
  • Eugénio Oliveira
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5816)


A framework based on the concept of service-oriented architectures (SOA) to support the assessment of vehicular ad-hoc networks (VANET) is herein presented. Concepts related to SOA, as well as technologies that allow real-time data acquisition and dissemination within urban environments, and simulation tools to aid the simulation of VANET were preliminarily studied. A two-layered architecture was specified on the basis of the requirements for our simulation framework resulting in the specification of a multi-agent system formed of vehicle entities that are able to communicate and interact with each other and with their surrounding environment as well. A prototypical application was implemented, which was used to demonstrate the feasibility of the approach presented through experimental results.


Intelligent Transportation Systems Service-Oriented Architectures Vehicle-to-Vehicle Communication and Simulation Multi-Agent Systems 


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  1. 1.
    McGovern, J., Tyagi, S., Stevens, M., Mathew, S.: Java Web Services Architecture. Morgan Kaufmann, San Francisco (2003)Google Scholar
  2. 2.
    Mello, H., Endler, M.: Identificação de Região de Congestionamento através de Comunicação Inter-veicular. Monografias em Ciência da Computação 26 (2006)Google Scholar
  3. 3.
    Chen, Z.D., Kung, H., Vlah, D.: Ad hoc relay wireless networks over moving vehicles on highways. In: 2nd ACM International Symposium on Mobile Ad Hoc Networking and Computing, pp. 247–250 (2001)Google Scholar
  4. 4.
    Blum, J.J., Eskandarian, A., Hoffman, L.J.: Challenges of inter-vehicle ad hoc network. IEEE Transactions on Intelligent Transportation Systems, 347–351 (2004)Google Scholar
  5. 5.
    Choffnes, D.R., Bustamante, F.E.: An Integrated Mobility and Traffic Model for Vehicular Wireless Networks. In: 2nd ACM International Workshop on Vehicular Ad Hoc Networks (VANET), pp. 65–78 (2005)Google Scholar
  6. 6.
    Saha, A., Johnson, D.: Modelling Mobility for Vehicular Ad-hoc Networks. In: ACM International Workshop on Vehicular Ad Hoc Networks (VANET), pp. 91–92 (2004)Google Scholar
  7. 7.
    Gonçalves, J.: Arquitectura baseada em serviços para redes veículo-a-veículo. Master’s Dissertation. FEUP, Porto (2009)Google Scholar
  8. 8.
    Halonen, T., Ojaja, T.: Cross-Layer Design for Providing Service Oriented Architecture in a Mobile Ad hoc Network. In: 5th international Conference on Mobile and ubiquitous multimedia, paper 11 (2006) Google Scholar
  9. 9.
    Rao, A.: AgentSpeak(L): BDI agents speak out in a logical computable language. In: Perram, J., Van de Velde, W. (eds.) MAAMAW 1996. LNCS (LNAI), vol. 1038, Springer, Heidelberg (1996)CrossRefGoogle Scholar
  10. 10.
    Rossetti, R.J.F., Oliveira, E.C., Bazzan, A.L.C.: Towards a specification of a framework for sustainable transportation analysis. In: 13th Portuguese Conference on Artificial Intelligence, Guimarães, Portugal (2007)Google Scholar
  11. 11.
    Ferreira, P.A.F., Esteves, F.E., Rossetti, R.J.F., Oliveira, E.C.: A Cooperative Simulation Framework for Traffic and Transportation Engineering. In: 5th International Conference on Cooperative Design, Visualization, and Engineering, pp. 89–97 (2008)Google Scholar
  12. 12.
    Ferreira, P.A.F.: Specification and Implementation of an Artificial Transport System. Master’s Dissertation. FEUP, Porto (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • João F. B. Gonçalves
    • 1
  • Edgar F. Esteves
    • 1
  • Rosaldo J. F. Rossetti
    • 1
  • Eugénio Oliveira
    • 1
  1. 1.Department of Informatics Engineering Artificial Intelligence and Computer Science Laboratory (LIACC) Faculty of EngineeringUniversity of Porto (FEUP)PortoPortugal

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