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Modeling a Multi-agent Self-organizing Architecture in MATSim

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Agents and Multi-agent Systems: Technologies and Applications 2019

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 148))

Abstract

The development of new information and communication technologies is contributing to the emergence of a new generation of real-time services in various fields of application. In the area of intelligent transport systems, these new services also include connected and autonomous vehicles that enable vehicles to collect and disseminate information, safety alerts and make driving smarter. In this paper, we propose a self-organizing architecture of agents and we project it on a multi-agent transport simulator (MATSim). In order to improve the performance of the DriverAgent in the simulation, an alternative approach to score the DriverAgent plans is proposed.

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References

  1. Ferber, J., Weiss, G.: Multi-agent Systems: An Introduction to Distributed Artificial Intelligence, vol. 1. Addison-Wesley Reading (1999)

    Google Scholar 

  2. Horni, A., Nagel, K., Axhausen, K. (eds.): Multi-Agent Transport Simulation MATSim. Ubiquity Press, London (2016). ISBN 978-1-909188-75-4, 978-1-909188-76-1, 978-1-909188-77-8, 978-1-909188-78-5. 10.5334/baw

    Google Scholar 

  3. Wenjie, C., Lifeng, C., Zhanglong, C., Shiliang, T.: A realtime dynamic traffic control system based on wireless sensor network. In: International Conference Workshops on Parallel Processing, 2005. ICPP 2005 Workshops, pp. 258–264. IEEE (2005)

    Google Scholar 

  4. Wiering, M.A.: Multi-agent reinforcement learning for traffic light control. In: Machine Learning: Proceedings of the Seventeenth International Conference (ICML’2000), pp. 1151–1158 (2000)

    Google Scholar 

  5. Dresner, K., Stone, P.: Multiagent traffic management: A reservation-based intersection control mechanism. In: Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems-Volume 2, pp. 530–537. IEEE Computer Society (2004)

    Google Scholar 

  6. Milanés, V., Pérez, J., Onieva, E., González, C.: Controller for urban intersections based on wireless communications and fuzzy logic. IEEE Trans. Intell. Transp. Syst. 11(1), 243–248 (2010)

    Article  Google Scholar 

  7. Balac, M., Janzen, M., Axhausen, K.W.: Alternative approach to scoring in matsim and how it affects activity rescheduling. In: Proceedings of the 97th Annual Meeting of the Transportation Research Board (TRB 2018). The National Academies of Sciences, Engineering, and Medicine (2018)

    Google Scholar 

  8. Feil, M., Balmer, M., Axhausen, K.W.: Enhancement and empirical estimation of matsims utility function. In: 9th STRC Swiss Transport Research Conference: Proceedings. Swiss Transport Research Conference (2009)

    Google Scholar 

  9. Joh, C.-H.: Measuring and predicting adaptation in multidimensional activity-travel patterns. Ph.D thesis, Technische Universiteit Eindhoven (2004). https://pure.tue.nl/ws/files/3399165/200410595.pdf

  10. Brooks, R.A.: How to build complete creatures rather than isolated cognitive simulators. In: Architectures for intelligence, pp. 239–254. Psychology Press (2014)

    Google Scholar 

  11. Di Marzo Serugendo, G., Gleizes, M.-P., Karageorgos, A.: Self-organization in multi-agent systems. Knowl. Eng. Rev. 20(2), 165–189 (2005)

    Article  Google Scholar 

  12. Balmer, M., Rieser, M., Meister, K., Charypar, D., Lefebvre, N., Nagel, K.: Matsim-t: Architecture and simulation times. In: Multi-agent Systems For Traffic And Transportation Engineering, pp. 57–78. IGI Global (2009)

    Google Scholar 

  13. Balmer, M.: Travel demand modeling for multi-agent transport simulations: Algorithms and systems. Ph.D thesis, ETH Zurich (2007). https://www.research-collection.ethz.ch/.../eth-29803-02.pdf

  14. Nagel, K., Flötteröd, G.: Agent-based traffic assignment: Going from trips to behavioural travelers. In: Travel Behaviour Research in an Evolving World–Selected papers from the 12th International Conference On Travel Behaviour Research, pp. 261–294. International Association for Travel Behaviour Research (2012)

    Google Scholar 

  15. Charypar, D., Nagel, K.: Generating complete all-day activity plans with genetic algorithms. Transportation 32(4), 369–397 (2005)

    Article  Google Scholar 

  16. The Transport Systems Planning and Transport Telematics group of Technische Universitt Berlin. The matsim open berlin scenario (2018). https://github.com/matsim-vsp/matsim-berlin

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Correspondence to Youssef Inedjaren .

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Inedjaren, Y., Zeddini, B., Maachaoui, M., Barbot, JP. (2020). Modeling a Multi-agent Self-organizing Architecture in MATSim. In: Jezic, G., Chen-Burger, YH., Kusek, M., Šperka, R., Howlett, R., Jain, L. (eds) Agents and Multi-agent Systems: Technologies and Applications 2019. Smart Innovation, Systems and Technologies, vol 148. Springer, Singapore. https://doi.org/10.1007/978-981-13-8679-4_25

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