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Simulation of Urban MObility User Conference

SUMO 2013: Simulation of Urban Mobility pp 44–61Cite as

Agent-Based Traffic Simulation Using SUMO and JADE: An Integrated Platform for Artificial Transportation Systems

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8594))

Abstract

The rapid and ever-increasing population and urban activities have imposed a massive demand to Urban Transportation Systems (UTS). These systems were not prepared for such events, so traffic congestion and defective metropolitan systems were a direct consequence of such a shortcoming. The explosion of the computing technology brought together expertise from different scientific and technical disciplines giving birth to new computing and communication paradigms. Taking advantage of modelling and simulation technologies we have devised a framework that combines the characteristics of the Multi-Agent System Development Framework, JADE, and the microscopic traffic simulator, SUMO, for the development and appraisal of multi-agent traffic solutions in contemporary transportation systems. Therefore we present a tool that can be useful to researchers and practitioners for implementing agent-based traffic control and management solutions as well as heterogeneous Artificial Societies (AS) of drivers immersed in rather realistic traffic environments.

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References

  1. Balmer, M., Rieser, M., Meister, K., Charypar, D., Lefebvre, N., Nagel, K., Axhausen, K.: Matsim-t: Architecture and simulation times. In: Multi-Agent Systems for Traffic and Transportation Engineering, pp. 57–78 (2009)

    Google Scholar 

  2. Bazzan, A.L.C., Klügl, F.: Case studies on the braess paradox: Simulating route recommendation and learning in abstract and microscopic models. Trans. Res. C 13(4), 299–313 (2005)

    Article  Google Scholar 

  3. Bellifemine, F., Caire, G., Poggi, A., Rimassa, G.: JADE-A White Paper, Sept. 2003. Online document accessible under. http://jade.tilab.com/papers/2003/WhitePaperJADEEXP.pdf (2003). Accessed on 22 March 2008

  4. Bellifemine, F., Poggi, A., Rimassa, G.: JADEA FIPA-compliant agent framework. In: Proceedings of PAAM, vol. 99, p. 33. London (1999)

    Google Scholar 

  5. Braess, D.: Über ein Paradoxon aus der Verkehrsplanung. Math. Methods Oper. Res. 12(1), 258–268 (1968)

    Article  MATH  MathSciNet  Google Scholar 

  6. Braess, D., Nagurney, A., Wakolbinger, T.: On a paradox of traffic planning. Transp. Sci. 39(4), 446–450 (2005)

    Article  Google Scholar 

  7. Chu, V.H., Görmer, J., Müller, J.P.: Atsim: Combining aimsum and jade for agent-based traffic simulation. Avances en inteligencia artificial. Actas de CAEPIA11 1 (2011)

    Google Scholar 

  8. Doering, M., Pögel, T., Wolf, L.: Dtn routing in urban public transport systems. In: Proceedings of the 5th ACM Workshop on Challenged Networks, CHANTS ’10, pp. 55–62. ACM, New York (2010). http://doi.acm.org/10.1145/1859934.1859947

  9. Doytsher, Y., Kelly, P., Khouri, R., McLAREN, R., Potsiou, C.: Rapid urbanization and mega cities: The need for spatial information management. Research study by FIG Commission 3. FIG Publication No 48 (2010)

    Google Scholar 

  10. Jakob, M., Moler, Z.: Modular framework for simulation modelling of interaction-rich transport systems. In: Proceedings of the 16th IEEE Intelligent Transportation Systems Conference (ITSC 2013) (2013)

    Google Scholar 

  11. Krajzewicz, D., Erdmann, J., Behrisch, M., Bieker, L.: Recent development and applications of SUMO - Simulation of Urban MObility. Int. J. Adv. Syst. Meas. 5(3&4), 128–138 (2012)

    Google Scholar 

  12. Li, J., Tang, S., Wang, X., Wang, F.Y.: A software architecture for artificial transportation systems - principles and framework (2007)

    Google Scholar 

  13. Macedo, J., Soares, M., Timóteo, I., Rossetti, R.J.: An approach to advisory-based traffic control. In: 2012 7th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6. IEEE (2012)

    Google Scholar 

  14. Moya, L.J., Tolk, A.: Towards a taxonomy of agents and multi-agent systems. In: Proceedings of the 2007 Spring Simulation Multiconference, vol. 2, pp. 11–18. SpringSim ’07, Society for Computer Simulation International, San Diego, CA, USA (2007)

    Google Scholar 

  15. Omicini, A., Ricci, A., Viroli, M.: Artifacts in the A&A meta-model for multi-agent systems. Auton. Agents Multi-Agent Syst. 17(3), 432–456 (2008)

    Article  Google Scholar 

  16. Passos, L.S., Rossetti, R.J.F., Kokkinogenis, Z.: Towards the next-generation traffic simulation tools: a first appraisal. In: 2011 6th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6 (2011)

    Google Scholar 

  17. Rieck, D., Schünemann, B., Radusch, I., Meinel, C.: Efficient traffic simulator coupling in a distributed v2x simulation environment. In: Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques, pp. 72:1–72:9. SIMUTools ’10, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, Belgium (2010). http://dx.doi.org/10.4108/ICST.SIMUTOOLS2010.8640

  18. Rossetti, R.J.F., Liu, R., Tang, S.: Guest editorial special issue on artificial transportation systems and simulation. IEEE Trans. Intell. Transp. Syst. 12(2), 309–312 (2011)

    Article  Google Scholar 

  19. Rossetti, R.J., Oliveira, E.C., Bazzan, A.L.: Towards a specification of a framework for sustainable transportation analysis. In: 13th Portuguese Conference on Artificial Intelligence. Citeseer, Guimarães (2007)

    Google Scholar 

  20. Sanchez Passos, L., Rossetti, R.: Traffic light control using reactive agents. In: 2010 5th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6. IEEE (2010)

    Google Scholar 

  21. Castro da Silva, B., Bazzan, A.L.C., Andriotti, G.K., Lopes, F., de Oliveira, D.: ITSUMO: An intelligent transportation system for urban mobility. In: Böhme, T., Larios Rosillo, V.M., Unger, H., Unger, H. (eds.) IICS 2004. LNCS, vol. 3473, pp. 224–235. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  22. Van den Bosch, A.T., Menken, M.R., van Breukelen, M., van Katwijk, R.T.: A test bed for multi-agent systems and road traffic management. In: Proceedings of the 15th Belgian-Netherlands Conference on Artificial Intelligence (BNAIC’03), pp. 43–50 (2003)

    Google Scholar 

  23. Wahle, J., Bazzan, A.L.C., Klügl, F., Schreckenberg, M.: The impact of real-time information in a two-route scenario using agent-based simulation. Transp. Res. Part C: Emer.Technol. 10(56), 399–417 (2002)

    Article  Google Scholar 

  24. Wang, F.Y.: Integrated intelligent control and management for urban traffic systems. In: Intelligent Transportation Systems, 2003, Proceedings, vol. 2, pp. 1313–1317. IEEE (2003)

    Google Scholar 

  25. Wegener, A., Piórkowski, M., Raya, M., Hellbrück, H., Fischer, S., Hubaux, J.P.: TraCI: An interface for coupling road traffic and network simulators. In: Proceedings of the 11th communications and networking simulation symposium, CNS ’08, pp. 155–163. ACM, New York (2008). http://doi.acm.org/10.1145/1400713.1400740

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Acknowledgements

This project has been partially supported by FCT (Fundação para a Ciência e a Tecnologia), the Portuguese Agency for R&D, under grant SFRH/BD/67202/2009.

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Authors and Affiliations

  1. Artificial Intelligence and Computer Science Laboratory (LIACC), Department of Informatics Engineering (DEI) Faculty of Engineering, University of Porto, Porto, Portugal

    Guilherme Soares, Zafeiris Kokkinogenis, José Luiz Macedo & Rosaldo J. F. Rossetti

Authors
  1. Guilherme Soares
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  2. Zafeiris Kokkinogenis
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  3. José Luiz Macedo
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  4. Rosaldo J. F. Rossetti
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Corresponding author

Correspondence to Rosaldo J. F. Rossetti .

Editor information

Editors and Affiliations

  1. Institute of Transportation Systems, German Aerospace Center, Berlin, Germany

    Michael Behrisch

  2. Institute of Transportation Systems, German Aerospace Center, Berlin, Germany

    Daniel Krajzewicz

  3. Institute of Transportation Systems, German Aerospace Center, Berlin, Germany

    Melanie Weber

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Soares, G., Kokkinogenis, Z., Macedo, J.L., Rossetti, R.J.F. (2014). Agent-Based Traffic Simulation Using SUMO and JADE: An Integrated Platform for Artificial Transportation Systems. In: Behrisch, M., Krajzewicz, D., Weber, M. (eds) Simulation of Urban Mobility. SUMO 2013. Lecture Notes in Computer Science(), vol 8594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45079-6_4

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  • DOI: https://doi.org/10.1007/978-3-662-45079-6_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45078-9

  • Online ISBN: 978-3-662-45079-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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