Agent Information Server: A Middleware for Traveler Information

  • Mahdi Zargayouna
  • Flavien Balbo
  • Julien Saunier Trassy
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3963)


This paper proposes an Agent Traveler Information Server (ATIS) for a daily trip in an urban area. It is based on the multi-agent paradigm and is using the Environment as Active Support of Interaction (EASI) model. It instantiates the mutual awareness concept. The purpose is to allow services, information sources and human travelers to be represented by a unified agent structure and to allow them to interact homogeneously although they are conceptually different. Given that the whole information process must be envisaged in a real time configuration, the increase of the interactions has to be taken into account and the classical interaction modes become rapidly inefficient. The EASI model enables agents to build their interaction interests egocentrically and delegates the interaction management to the multi-agent environment.


Multiagent System Mobile Agent Local Agent Visible Property Transportation Research Part 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Adler, J.L., Blue, V.J.: Toward the design of intelligent traveler information systems. Transportation Research Part C 6, 157–172 (1998)CrossRefGoogle Scholar
  2. 2.
    Balbo, F., Pinson, S.: Toward a Multi-agent Modelling Approach for Urban Public Transportation Systems. In: Omicini, A., Petta, P., Tolksdorf, R. (eds.) ESAW 2001. LNCS (LNAI), vol. 2203, pp. 160–174. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  3. 3.
    Balbo, F.: A new interaction model for agent based simulation. In: European Simulation Multiconference (2004)Google Scholar
  4. 4.
    Coyle, L., Cunningham, P., Hayes, C.: A Case-Based Personal Travel Assistant for Elaborating User Requirements and Assessing Offers. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, pp. 505–518. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  5. 5.
    Davidsson, P., Henesey, L., Ramstedt, L., Törnquist, J., Wernstedt, F.: An Analysis of Agent-Based Approaches to Transport Logistics. Transportation Research Part C: Emerging Technologies 13(4), 255–271 (2005)CrossRefGoogle Scholar
  6. 6.
    Dia, H.: An agent-based approach to modelling driver route choice behaviour under the influence of real-time information. Transportation Research Part C 10, 331–349 (2002)CrossRefGoogle Scholar
  7. 7.
    Diday, E., Hébrail, G.: Symbolic Data Analysis: some in and out. In: Kesda 1998 Eurostat Luxembourg, pp. 19–24 (April 1998)Google Scholar
  8. 8.
    Decker, K., Sycara, K., Williamson, M.: Middle-Agent for the Internet. In: Fifteenth International Joint Conference on Artificial Intelligence, pp. 578–583. Morgane Kaufmann, San Francisco (1997)Google Scholar
  9. 9.
    Dugdale, J., Pavard, J., Soubie, B.: A Pragmatic Development of a Computer Simulation of an emergency Call Center Designing Cooperative System. In: Dieng, R., et al. (eds.) Frontiers in Artificial Intelligence and Applications. IOS Press, Amsterdam (2000)Google Scholar
  10. 10.
    Freeman, E., Hupfer, S., Arnold, K.: JavaSpaces (TM) Principles, Patterns, and Practice, 1st edn. Pearson Education, London (1999)Google Scholar
  11. 11.
    Moraitis, P., Petraki, E., Spanoudakis, N.: Providing Advanced, Personalised Infomobility Services Using Agent Technology. In: Proceedings of the 23rd SGAI International Conference on Innovative Techniques and Applications of AI (AI 2003), Cambridge, UK (2003)Google Scholar
  12. 12.
    O’Brien, P.D., Nicol, R.C.: FIPA - towards a standard for software agents. BT Technol. J. 16(3), 51–59 (1998)CrossRefGoogle Scholar
  13. 13.
    O’Sullivan, D., Nùnez-Suàrez, J., brochoud, H., Cros, P., Moore, C., Byrne, C.: Experiences in the use of the FIPA agent technologies for the development of a Personal Travel Application. In: Proceeding of international conference on autonomous agents (Agents), Barcelone (2000)Google Scholar
  14. 14.
    Picco, G.P., Buschini, M.L.: Exploiting Transiently Shared Tuple Spaces for Location Transparent Code Mobility. In: Arbab, F., Talcott, C. (eds.) COORDINATION 2002. LNCS, vol. 2315, pp. 258–273. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  15. 15.
    Raimondi, M., Manzato, M., Petraki, E., Spanoudakis, N., Kauber, M.: Services specification design and System architecture. Technical report (January 2004)Google Scholar
  16. 16.
    Schleiffer, R.: Intelligent agents in traffic and transportation. In: Schleiffer, R. (Guest) (ed.) Transportation Research part C: emerging technologies (special issue), vol. 10C (5–6) (2002)Google Scholar
  17. 17.
    Scemama, G., Carles, O.: CLAIRE-SITI, Public and Road Transport Network Management Control: A Unified Approach. In: IEE Road Transport Information and Control Conference, London (2004)Google Scholar
  18. 18.
    Weyns, D., Van Dyke Parunak, H., Michel, F., Holvoet, T., Ferber, J.: Environments for Multiagent Systems State-of-the-Art and Research Challenges. In: Weyns, D., Van Dyke Parunak, H., Michel, F. (eds.) E4MAS 2004. LNCS (LNAI), vol. 3374, pp. 1–47. Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mahdi Zargayouna
    • 1
    • 2
  • Flavien Balbo
    • 1
    • 2
  • Julien Saunier Trassy
    • 2
  1. 1.Inrets – Gretia, National Institute of Transportation Research and their SecurityArcueil Cedex
  2. 2.LamsadeParis Dauphine UniversityParis Cedex 16France

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