Abstract
In recent years, the interest in multi-modal simulation models has increased significantly. In such models, various transport modes are simulated simultaneously, including the interactions between agents using different modes. Typical fields of application are, for example, studies on evacuations, car sharing and public transport.
Commonly used models today focus either on macroscopic simulation of large-scale scenarios with hundreds of thousands or even several million entities or microscopic simulation of small scale scenarios based on complex models for the underlying physics. While the first class only deals with vehicular traffic, the second one usually also deals with pedestrians and cyclists.
Obviously, there is a gap between these two areas that has to be closed by a multi-modal simulation. This paper presents the combination of both simulation approaches integrated a single simulation framework. Its capabilities are demonstrated on a real world large-scale scenario which includes also microscopic elements.
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References
Balmer, M.: Travel Demand Modeling for Multi-Agent Traffic Simulations: Algorithms and Systems. Ph.D. thesis, ETH Zurich, Zurich (May 2007)
Charypar, D., Nagel, K.: Generating complete all-day activity plans with genetic algorithms. Transportation 32(4), 369–397 (2005)
Cheney, W., Kincaid, D.R.: Numerical Mathematics and Computing. Brooks/Cole, 7. edn. (2012)
Forschungsgesellschaft für Straßen- und Verkehrswesen: Handbuch für die Bemessung von Strassenverkehrsanlagen: HBS. Forschungsgesellschaft für Straßen- und Verkehrswesen, Cologne (2009)
Gloor, C.D.: Distributed Intelligence in Real World Mobility Simulations. Ph.D. thesis, ETH Zurich, Zurich (2005)
Gloor, C.D., Mauron, L., Nagel, K.: A pedestrian simulation for hiking in the alps. In: STRC (ed.) 3rd Swiss Transport Research Conference. Ascona (March 2003)
Helbing, D., Farkas, I., Vicsek, T.: Simulating dynamical features of escape panic. Nature 407, 487–490 (2000)
Helbing, D., Molnár, P.: Social force model for pedestrian dynamics. Physical Review E 51(5), 4282–4286 (1995)
Lämmel, G.: Escaping the Tsunami: Evacuation Strategies for Large Urban Areas. Concepts and Implementation of a Multi-Agent Based Approach. Ph.D. thesis, Technical University Berlin, Berlin (2011)
Lämmel, G., Plaue, M.: Getting out of the way: collision avoiding pedestrian models compared to the real world. In: Pedestrian and Evacuation Dynamics 2012. Springer (2012)
Meister, K., Balmer, M., Ciari, F., Horni, A., Rieser, M., Waraich, R.A., Axhausen, K.W.: Large-scale agent-based travel demand optimization applied to Switzerland, including mode choice. In: WCTRS (ed.) 12th World Conference on Transportation Research. World Conference on Transport Research Society (WCTRS), Lisbon (July 2010)
Oleson, R., Kaup, D.J., Clark, T.L., Malone, L.C., Boloni, L.: Social potential models for traffic and transportation. In: Bazzan, A.L.C., Klügl, F. (eds.) Multi-Agent Systems for Traffic and Transportation Engineering, chap. VII, pp. 155–175. Information Science Reference, Hershey (2009)
Parkin, J., Rotheram, J.: Design speeds and acceleration characteristics of bicycle traffic for use in planning, design and appraisal. Transport Policy 17(5), 335–341 (2010)
Predtechenskii, V.M., Milinskii, R.A.I.: Planning for Foot Traffic in Buildings. Amerind, New Dehli (1978)
Preparata, F.P.: The medial axis of a simple polygon. In: Gruska, J. (ed.) Mathematical Foundations of Computer Science 1977, Lecture Notes in Computer Science, vol. 53, pp. 443–450. Springer, Berlin (1977)
Rieser, M.: Adding Transit to an Agent-Based Transportation Simulation. Ph.D. thesis, Technical University Berlin, Berlin (2010)
Sewall, J., Wilkie, D., Lin, M.C.: Interactive hybrid simulation of large-scale traffic. ACM Transaction on Graphics (Proceedings of SIGGRAPH Asia) 30(6) (December 2011)
Transportation Research Board: Highway Capacity Manual. Transportation Research Board, Washington, D.C. (December 2010)
Weidmann, U.: Transporttechnik der Fussgänger - Transporttechnische Eigenschaften des Fussgängerverkehrs, Literaturauswertung. Schriftenreihe 90, IVT, ETH Zurich, Zurich (1992)
Zanlungo, F., Ikeda, T., Kanda, T.: Social force model with explicit collision prediction. EPL (Europhysics Letters) 93(6) (2011)
Acknowledgements
This project was funded in part by the German Ministry for Education and Research (BMBF) under grant 13N11382 (“GRIPS”) and by the German Research Foundation (DFG) under grants Na 682/5-1.
Moreover, we would like to thank Professor Kay W. Axhausen and Professor Kai Nagel, as well as our colleagues at the institutes, who supported our work on this paper. Finally, we want to thank Marcel Rieser (senozon AG), who adapted their visualization tool via, which allowed us visualizing pedestrian traffic flows.
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Dobler, C., Lämmel, G. (2014). Integration of a Multi-modal Simulation Module into a Framework for Large-Scale Transport Systems Simulation. In: Weidmann, U., Kirsch, U., Schreckenberg, M. (eds) Pedestrian and Evacuation Dynamics 2012. Springer, Cham. https://doi.org/10.1007/978-3-319-02447-9_62
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DOI: https://doi.org/10.1007/978-3-319-02447-9_62
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