Abstract
Multiagent-based simulations are regarded as an useful technology for analyzing complex social systems and have been applied to various problems. Tackling the problems of a city involves various levels of abstraction and various target domains. Different types of human behaviors are studied separately by specialists in their respective domains. We believe that we need to integrate simulators that offer different levels of abstraction and cover various target domains. This paper introduces the architecture of a simulator integration platform and demonstrates the capability of the platform in that domains of city traffic and city electricity.
Keywords
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Balmer, M., Cetin, N., Nagel, K., Raney, B.: Towards truly agent-based traffic and mobility simulations. In: Proceedings of the 3rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), pp. 60–67 (2004)
Balmer, M., Meister, K., Rieser, M., Nagel, K., Axhausen, K.W.: Agent-based simulation of travel demand: Structure and computational performance of matsim-t. In: Proceedings of the 2nd TRB Conference on Innovations in Travel Modeling, pp. 1–30 (2008)
Deguchi, H., Kanatani, Y., Kaneda, T., Koyama, Y., Ichikawa, M., Tanuma, H.: Social simulation design for pandemic protection. In: Proceedings of The 1st World Congress on Social Simulation (WCSS 2006), vol. 1, pp. 21–28 (2006)
Epstein, J., Axtell, R.: Growing Artificial Societies: Social Science from the Bottom Up. MIT Press (1996)
Halle, S., Chaib-draa, B.: A collaborative driving system based on multiagent modelling and simulations. Journal of Transportation Research Part C 13, 320–345 (2005)
Kitano, H., Tadokor, S., Noda, H., Matsubara, I., Takahasi, T., Shinjou, A., Shimada, S.: Robocup rescue: search and rescue in large-scale disasters as a domain for autonomous agents research. In: Proceedings of the IEEE Conference on Systems, Men, and Cybernetics, vol. VI, pp. 739–743 (1999)
Paruchuri, P., Pullalarevu, A.R., Karlapalem, K.: Multi agent simulation of unorganized traffic. In: Proceedings of the 1st International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2002), pp. 176–183 (2002)
Scerri, D., Hickmott, S., Padgham, L., Drogoul, A.: An Architecture for Modular Distributed Simulation with Agent-Based Models. In: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), pp. 541–548 (2010)
Yamamoto, G., Tai, H., Mizuta, H.: Consideration on realizing a hundred millions agent-based simulation. The IEICE Transactions on Information and Systems (Japanese edetion) 90(9), 2423–2431 (2007)
Yamashita, T., Izumi, K., Kurumatani, K., Nakashima, H.: Smooth traffic flow with a cooperative car navigation system. In: Proceedings of the 4th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), pp. 478–485. ACM Press, New York (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nakajima, Y., Hattori, H. (2011). A Simulator Integration Platform for City Simulations. In: Kinny, D., Hsu, J.Yj., Governatori, G., Ghose, A.K. (eds) Agents in Principle, Agents in Practice. PRIMA 2011. Lecture Notes in Computer Science(), vol 7047. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25044-6_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-25044-6_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25043-9
Online ISBN: 978-3-642-25044-6
eBook Packages: Computer ScienceComputer Science (R0)