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2018 | OriginalPaper | Buchkapitel

A Multi-modal Urban Traffic Agent-Based Framework to Study Individual Response to Catastrophic Events

verfasst von : Kevin Chapuis, Patrick Taillandier, Benoit Gaudou, Alexis Drogoul, Eric Daudé

Erschienen in: PRIMA 2018: Principles and Practice of Multi-Agent Systems

Verlag: Springer International Publishing

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Abstract

Urban traffic is made of a variety of mobility modes that have to be taken into account to explore the impact of catastrophic event. From individual mobility behaviors to macroscopic traffic dynamics, agent-based modeling provides an interesting conceptual framework to study this question. Unfortunately, most proposals in the domain do not provide any simple way to model these multi-modal trajectories, and thus fell short at simulating in a credible way the outcomes of a catastrophic event, like natural or industrial hazards. This paper presents an agent-based framework implemented with the GAMA modeling platform that aims at overcoming this lack. An application of this model for the study of flood crisis in a district of Hanoi (Vietnam) is presented.

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Vorheriges Kapitel Abstracting Reinforcement Learning Agents with Prior Knowledge

Nächstes Kapitel Dialogue Games for Enforcement of Argument Acceptance and Rejection via Attack Removal

Adam, C., Gaudou, B.: Modelling human behaviours in disasters from interviews: application to melbourne bushfires. JASSS 20(3), 12 (2017)CrossRef

Adnan, M., et al.: Simmobility: a multi-scale integrated agent-based simulation platform. In: 95th Annual Meeting of the Transportation Research Board Forthcoming in Transportation Research Record (2016)

Bazzan, A.L., Klügl, F.: A review on agent-based technology for traffic and transportation. Knowl. Eng. Rev. 29(3), 375–403 (2014)CrossRef

Beck, E., Dugdale, J., Van Truong, H., Adam, C., Colbeau-Justin, L.: Crisis mobility of pedestrians: from survey to modelling, lessons from Lebanon and Argentina. In: Hanachi, C., Bénaben, F., Charoy, F. (eds.) ISCRAM-med 2014. LNBIP, vol. 196, pp. 57–70. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11818-5_6CrossRef

Bo, Y., Cheng, W., Hua, H., Lijun, L.: A multi-agent and PSO based simulation for human behavior in emergency evacuation, pp. 296–300. IEEE, December 2007

Chapuis, K., Taillandier, P., Misslin, R., Drogoul, A.: Gen*: a generic toolkit to generate spatially explicit synthetic populations. Int. J. Geograph. Inf. Sci. 32(6), 1194–1210 (2018)CrossRef

Czura, G., Taillandier, P., Tranouez, P., Daudé, É.: MOSAIIC: city-level agent-based traffic simulation adapted to emergency situations. In: Takayasu, H., Ito, N., Noda, I., Takayasu, M. (eds.) Proceedings of the International Conference on Social Modeling and Simulation, plus Econophysics Colloquium 2014. SPC, pp. 265–274. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20591-5_24CrossRef

Flötteröd, Y.P., Erdmann, J.: Dynamic reroute modeling for emergency evacuation: case study of Brunswick City. Germany. Int. J. Mech. Aerosp. Indus. Mechatron. Manuf. Eng. 12(4), 99–109 (2018)

Gasmi, N., et al.: Reproducing and exploring past events using agent-based geo-historical models. In: Grimaldo, F., Norling, E. (eds.) MABS 2014. LNCS (LNAI), vol. 9002, pp. 151–163. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-14627-0_11CrossRef

10.

Grignard, A., Taillandier, P., Gaudou, B., Vo, D.A., Huynh, N.Q., Drogoul, A.: GAMA 1.6: advancing the art of complex agent-based modeling and simulation. In: Boella, G., Elkind, E., Savarimuthu, B.T.R., Dignum, F., Purvis, M.K. (eds.) PRIMA 2013. LNCS (LNAI), vol. 8291, pp. 117–131. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-44927-7_9CrossRef

11.

Hawe, G.I., Coates, G., Wilson, D.T., Crouch, R.S.: Agent-based simulation for large-scale emergency response: a survey of usage and implementation. ACM Comput. Surv. 45(1), 1–51 (2012)CrossRef

12.

Helbing, D., Molnar, P.: Social force model for pedestrian dynamics. Phys. Rev. E 51(5), 4282–4286 (1995)CrossRef

13.

Horni, A., Nagel, K., Axhausen, K.W.: The Multi-Agent Transport Simulation MATSim. Ubiquity Press, London (2016)CrossRef

14.

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)

15.

Lämmel, G., Klügl, F., Nagel, K.: The MATSim network flow model for traffic simulation adapted to large-scale emergency egress and an application to the evacuation of the Indonesian City of Padang in case of a Tsunami warning. In: Timmermans, H. (ed.) Pedestrian Behavior: Models, Data Collection and Applications. Emerald (2009)

16.

Lucien, L., Lang, C., Marilleau, N., Philippe, L.: Multiagent hybrid architecture for collaborative exchanges between communicating vehicles in an urban context. Procedia Comput. Sci. 83, 695–699 (2016)CrossRef

17.

Mayrhofer, C.: Performance, scale and time in agent-based traffic modelling with NetLogo. GI\_ Forum 2015, 567–570 (2015)

18.

Mordvintsev, A.S., Krzhizhanovskaya, V.V., Lees, M.H., Sloot, P.M.A.: Simulation of city evacuation coupled to flood dynamics. In: Weidmann, U., Kirsch, U., Schreckenberg, M. (eds.) Pedestrian and Evacuation Dynamics 2012, pp. 485–499. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-02447-9_40CrossRef

19.

Pijls, W., Post, H.: Yet another bidirectional algorithm for shortest paths, p. 9 (2009)

20.

Taillandier, P.: Traffic simulation with the GAMA platform. In: International Workshop on Agents in Traffic and Transportation, p. 8, May 2014

21.

Wang, H., Mostafizi, A., Cramer, L.A., Cox, D., Park, H.: An agent-based model of a multimodal near-field tsunami evacuation: decision-making and life safety. Transp. Res. Part C: Emerg. Technol. 64, 86–100 (2016)CrossRef

Titel: A Multi-modal Urban Traffic Agent-Based Framework to Study Individual Response to Catastrophic Events
verfasst von: Kevin Chapuis
Patrick Taillandier
Benoit Gaudou
Alexis Drogoul
Eric Daudé
Verlag: Springer International Publishing
Buch: PRIMA 2018: Principles and Practice of Multi-Agent Systems
Print ISBN: 978-3-030-03097-1

Electronic ISBN: 978-3-030-03098-8

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-030-03098-8_28

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