A. Kotsialos, M. Papageorgioy, C. Diakaki, Y. Pavlis, and F. Middleham, Traffic flow modeling of large-scale motorway networks using the macroscopic modeling tool METANET, IEEE Transactions on Intelligent Transportation Systems, vol.3, issue.4, p.282, 2002.
DOI : 10.1109/TITS.2002.806804

K. Waldeer, Numerical Investigation of a Mesoscopic Vehicular Traffic Flow Model Based on a Stochastic Acceleration Process, Transport Theory and Statistical Physics, vol.147, issue.1, p.31, 2004.
DOI : 10.1080/00411459608203547

J. Miller, D. Hunt, J. Abraham, and P. Salvini, Microsimulating urban systems, Computers, Environment and Urban Systems, vol.28, issue.1-2, p.9, 2004.
DOI : 10.1016/S0198-9715(02)00044-3

M. Balmer, M. Rieser, K. Meister, D. Charypar, N. Lefebvre et al., Multi-agent systems for traffic and transportation engineering, Information Science Reference, pp.57-78, 2009.

M. Jakob and Z. Moler, Proceedings of the 16th IEEE intelligent transportation systems conference, 2013.

M. Horn, Multi-modal and demand-responsive passenger transport systems: a modelling framework with embedded control systems, Transportation Research Part A: Policy and Practice, vol.36, issue.2, p.167, 2002.
DOI : 10.1016/S0965-8564(00)00043-4

É. Daudé, D. Provitolo, E. Dubos-paillard, D. Gaillard, E. Eliot et al., ) From system complexity to emergent properties, pp.165-178, 2009.

A. Grignard, P. Taillandier, B. Gaudou, D. Vo, N. Huynh et al., GAMA 1.6: Advancing the Art of Complex Agent-Based Modeling and Simulation, Lecture Notes in computer science, vol.8291, pp.117-131, 2013.
DOI : 10.1007/978-3-642-44927-7_9
URL : https://hal.archives-ouvertes.fr/hal-00932406

U. Wilensky, Center for Connected Learning and Computer- Based Modeling, 1999.

P. Taillandier, Eighth international workshop on agents in traffic and transportation (ATT), 2014.

P. Taillandier, O. Therond, and B. Gaudou, International environmental modelling and software society (iEMSs), 2012.

V. Le, B. Gaudou, P. Taillandier, and D. Vo, Advanced methods and technologies for agent and multi-agent systems (KES-AMSTA), Frontiers in artificial intelligence and applications, vol.252, pp.395-403, 2013.