R. Herring, A. Hofleitner, S. Amin, T. Nasr, A. Khalek et al., Using mobile phones to forecast arterial traffic through statistical learning, 89th Transportation Research Board Annual Meeting, 2010.

D. Chowdhury, L. Santen, and A. Schadschneider, Statistical physics of vehicular traffic and some related systems, Physics Reports, vol.329, issue.4-6, p.199, 2000.
DOI : 10.1016/S0370-1573(99)00117-9

A. Klar, R. Kuehne, and R. Wegener, Mathematical models for vehicular traffic, Surv. Math. Ind, vol.6, p.215, 1996.

K. Nagel and M. Schreckenberg, A cellular automaton model for freeway traffic, Journal de Physique I, vol.2, issue.12, pp.2221-2229, 1992.
DOI : 10.1051/jp1:1992277
URL : https://hal.archives-ouvertes.fr/jpa-00246697

R. Chrobok, J. Wahle, and M. Schreckenberg, Traffic forecast using simulations of large scale networks, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585), 2001.
DOI : 10.1109/ITSC.2001.948696

T. Guozhen, Y. Wenjiang, and H. Ding, Traffic flow prediction based on generalized neural network, Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749), 2004.
DOI : 10.1109/ITSC.2004.1398933

W. Chun-hsin, H. Jan-ming, and D. Lee, Travel time prediction with support vector regression, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, p.276, 2004.
DOI : 10.1109/ITSC.2003.1252721

H. Kanoh, Short-term traffic prediction using fuzzy C-means and cellular automata in a wide-area road network, Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005., 2005.
DOI : 10.1109/ITSC.2005.1520184

Y. Kamarianakis and P. Prastacos, Space???time modeling of traffic flow, Computers & Geosciences, vol.31, issue.2, pp.119-133, 2005.
DOI : 10.1016/j.cageo.2004.05.012

B. Ghosh, B. Basu, and M. O. Mahony, Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis, IEEE Transactions on Intelligent Transportation Systems, vol.10, issue.2, pp.246-254, 2009.
DOI : 10.1109/TITS.2009.2021448

C. Furtlehner, J. Lasgouttes, and A. De-la-fortelle, A Belief Propagation Approach to Traffic Prediction using Probe Vehicles, 2007 IEEE Intelligent Transportation Systems Conference, pp.1022-1027, 2007.
DOI : 10.1109/ITSC.2007.4357716
URL : https://hal.archives-ouvertes.fr/hal-00175627

J. Pearl, Probabilistic Reasoning in Intelligent Systems: Network of Plausible Inference, 1988.

A. De-palma and F. Marchal, Real cases applications of the fully dynamic METROPOLIS tool-box: an advocacy for large-scale mesoscopic transportation systems, Networks and Spatial Economics, vol.2, issue.4, pp.347-369, 2002.
DOI : 10.1023/A:1020847511499

L. J. Leblanc, E. K. Morlok, and W. Pierskalla, An efficient approach to solving the road network equilibrium traffic assignment problem, Transportation Research, vol.9, issue.5, pp.309-318, 1975.
DOI : 10.1016/0041-1647(75)90030-1

J. Macqueen, Some methods for classification and analysis of multivariate observations, Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, 1967.

B. J. Frey and D. Dueck, Clustering by Passing Messages Between Data Points, Science, vol.315, issue.5814, pp.972-976, 2007.
DOI : 10.1126/science.1136800
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.3145

C. Furtlehner, J. Lasgouttes, and A. Auger, Learning multiple belief propagation fixed points for real time inference, Physica A: Statistical Mechanics and its Applications, vol.389, issue.1, pp.149-163, 2010.
DOI : 10.1016/j.physa.2009.08.030
URL : https://hal.archives-ouvertes.fr/inria-00371372

J. S. Yedidia, W. T. Freeman, and Y. Weiss, Constructing Free-Energy Approximations and Generalized Belief Propagation Algorithms, IEEE Transactions on Information Theory, vol.51, issue.7, pp.2282-2312, 2005.
DOI : 10.1109/TIT.2005.850085
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.9766