Abstract
Recently, almost proposed simulation models for traffic simulation is in one of two main categories: either micro simulation based on agent model, or macro simulation based on flow modelling. Inspire of many advantages of agent-based approach in small scale simulation, it is no longer suitable for large scale simulation because of the huge amount of processing and calculations. In order to avoid this limitation, this paper introduces an agent-based model for a large scale: instead of visualise the circulation of all individual transports, we visualise only the status of traffic network and the simulation of circulation is considered as a background process. This model is applied to the traffic network of Hanoi to analyse the hot or bottle neck points on the transportation network of the city.
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References
Al-Dmour, N.A.: TarffSim: Multiagent traffic simulation. European Journal of Scientific Research 53(4), 570–575 (2011)
Behrisch, M., Bieker, L., Erdmann, J., Krajzewicz, D.: SUMO - simulation of urban mobility: An overview. In: The Third International Conference on Advances in System Simulation, SIMUL 2011, Barcelona, Spain, pp. 63–68 (October 2011)
MATSim development team (ed.). MATSIM-T: Aims,approach and implementation. Technical report, IVT, ETH Zürich, Zürich (2007)
Dijkstra, E.W.: A note on two problems in connexion with graphs. Numerische Mathematik 1, 269–271 (1959)
Gokulan, B.P., Srinivasan, D.: Multi-agent system in urban traffic signal control. IEEE Comp. Int. Mag. 5(4), 43–51 (2010)
Huang, B., Wu, Q., Zhan, F.B.: A shortest path algorithm with novel heuristics for dynamic transportation networks. International Journal of Geographical Information Science 21(6), 625–644 (2007)
Koenig, S., Likhachev, M., Furcy, D.: Lifelong planning a*. Artif. Intell. 155(1-2), 93–146 (2004)
Krajzewicz, D.: Traffic Simulation with SUMO – Simulation of Urban Mobility Fundamentals of Traffic Simulation. International Series in Operations Research & Management Science, vol. 145, ch. 7, pp. 269–293. Springer, New York (2010)
Lotzmann, U.: TRASS: A Multi-Purpose Agent-Based Simulation Framework for Complex Traffic Simulation Applications, pp. 79–107 (2009)
Mengistu, D., Tröger, P., Lundberg, L., Davidsson, P.: Scalability in distributed multi-agent based simulations: The jade case. In: Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking Symposia, FGCNS 2008, vol. 5, pp. 93–99. IEEE Computer Society, Washington, DC (2008)
Piórkowski, M., Raya, M., Lezama Lugo, A., Papadimitratos, P., Grossglauser, M., Hubaux, J.-P.: TraNS: realistic joint traffic and network simulator for VANETs. Sigmobile Mob. Comput. Commun. Rev. 12(1), 31–33 (2008)
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Nguyen, M.H., Ho, T.V., Nguyen, M.S., Phan, T.H.P., Phan, T.H., Anh Trinh, V. (2012). An Agent-Based Model for Simulation of Traffic Network Status. In: Bui, L.T., Ong, Y.S., Hoai, N.X., Ishibuchi, H., Suganthan, P.N. (eds) Simulated Evolution and Learning. SEAL 2012. Lecture Notes in Computer Science, vol 7673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34859-4_22
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DOI: https://doi.org/10.1007/978-3-642-34859-4_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34858-7
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