C. Antoniou, J. Barceló, M. Breen, M. Bullejos, J. Casas et al., Towards a generic benchmarking platform for origindestination flows estimation/updating algorithms: Design, demonstration and validation, pp.79-98, 2016.

J. Bilbao-ubillos, The costs of urban congestion: estimation of welfare losses arising from congestion on cross-town link roads', Transportation Research Part A: Policy and Practice, pp.42-1098, 2008.

C. Canudas-de-wit, F. Morbidi, L. Ojeda, A. Kibangou, I. Bellicot et al., Grenoble Traffic Lab: An Experimental Platform for Advanced Traffic Monitoring and Forecasting [Applications of Control], Control Systems, pp.23-39, 2015.
DOI : 10.1109/MCS.2015.2406657

G. Como, E. Lovisari, and K. Savla, Throughput optimal distributed routing in dynamical flow networks, 52nd IEEE Conference on Decision and Control, 2013.
DOI : 10.1109/CDC.2013.6760955

S. Coogan and M. Arcak, Dynamical properties of a compartmental model for traffic networks, 2014 American Control Conference, 2014.
DOI : 10.1109/ACC.2014.6858711

C. F. Daganzo, The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory, Transportation Research Part B: Methodological, vol.28, issue.4, pp.269-287, 1994.
DOI : 10.1016/0191-2615(94)90002-7

C. F. Daganzo, The cell transmission model, part II: Network traffic, Transportation Research Part B: Methodological, vol.29, issue.2, pp.79-93, 1995.
DOI : 10.1016/0191-2615(94)00022-R

A. Danczyk, X. Di, and H. X. Liu, A probabilistic optimization model for allocating freeway sensors', Transportation Research Part C: Emerging Technologies 67, pp.378-398, 2016.

W. Deng, H. Lei, and X. Zhou, Traffic state estimation and uncertainty quantification based on heterogeneous data sources: A three detector approach, Transportation Research Part B: Methodological, vol.57, 2013.
DOI : 10.1016/j.trb.2013.08.015

A. Ehlert, M. G. Bell, and S. Grosso, The optimisation of traffic count locations in road networks, Transportation Research Part B: Methodological, vol.40, issue.6, pp.460-479, 2006.
DOI : 10.1016/j.trb.2005.06.001

X. Fei, H. S. Mahmassani, and P. Murray-tuite, Vehicular network sensor placement optimization under uncertainty, Transportation Research Part C: Emerging Technologies, vol.29, pp.14-31, 2013.
DOI : 10.1016/j.trc.2013.01.004

M. Grant and S. Boyd, Graph Implementations for Nonsmooth Convex Programs, Recent Advances in Learning and Control (a tribute to M. Vidyasagar)', Lecture Notes in Control and Information Sciences, 2008.
DOI : 10.1007/978-1-84800-155-8_7

M. Grant and S. Boyd, Cvx: Matlab software for disciplined convex programming'. version 2.0 beta, 2013.

F. L. Hall, B. L. Allen, and M. A. Gunter, Empirical analysis of freeway flow-density relationships, Transportation Research Part A: General, vol.20, issue.3, pp.197-210, 1986.
DOI : 10.1016/0191-2607(86)90094-4

S. Hu and H. Liou, A generalized sensor location model for the estimation of network origin???destination matrices, Transportation Research Part C: Emerging Technologies, vol.40, issue.0, pp.93-110, 2014.
DOI : 10.1016/j.trc.2014.01.004

S. Jabari and H. X. Liu, A stochastic model of traffic flow: Gaussian approximation and estimation, Transportation Research Part B: Methodological, vol.47, issue.0, pp.15-41, 2013.
DOI : 10.1016/j.trb.2012.09.004

Y. Li, E. Canepa, and C. Claudel, Optimal Control of Scalar Conservation Laws Using Linear/Quadratic Programming: Application to Transportation Networks, IEEE Transactions on Control of Network Systems, vol.1, issue.1, pp.28-39, 2014.
DOI : 10.1109/TCNS.2014.2304152

M. J. Lighthill and G. B. Whitham, On Kinematic Waves. II. A Theory of Traffic Flow on Long Crowded Roads, Proc. of the Royal Society of London, Series A, p.317345, 1178.
DOI : 10.1098/rspa.1955.0089

E. Lovisari, C. Canudas-de-wit, and A. Y. Kibangou, Data fusion algorithms for density reconstruction in road transportation networks, 2015 54th IEEE Conference on Decision and Control (CDC), 2015.
DOI : 10.1109/CDC.2015.7402641

URL : https://hal.archives-ouvertes.fr/hal-01185523

E. Lovisari, G. Como, and K. Savla, Stability of monotone dynamical flow networks, 53rd IEEE Conference on Decision and Control, pp.2384-2389, 2014.
DOI : 10.1109/CDC.2014.7039752

URL : https://hal.archives-ouvertes.fr/hal-01095811

F. Morbidi, L. L. Ojeda, C. Canudas-de-wit, and I. Bellicot, A new robust approach for highway traffic density estimation, 2014 European Control Conference (ECC), pp.2576-2580, 2014.
DOI : 10.1109/ECC.2014.6862333

URL : https://hal.archives-ouvertes.fr/hal-00979684

L. Muñoz, X. Sun, R. Horowitz, and L. Alvarez, A piecewise-linearized cell transmission model and parameter calibration methodology, Proc. of the 85th Annual Meeting of the Transportation Research Board, 2006.

A. Nantes, D. Ngoduy, A. Bhaskar, M. Miska, and E. Chung, Realtime traffic state estimation in urban corridors from heterogeneous data', Transportation Research Part C: Emerging Technologies 66, pp.99-118, 2016.

M. Papageorgiou, C. Diakaki, V. Dinopoulou, A. Kotsialos, Y. et al., Review of road traffic control strategies, Proc. of the IEEE 91, pp.2043-2067, 2003.
DOI : 10.1109/JPROC.2003.819610

M. Papageorgiou, H. Hadj-salem, and J. Blosseville, Alinea: A local feedback control law for on-ramp metering', Transportation Research Record pp, pp.58-64, 1991.

D. Pisarski and C. Canudas-de-wit, Optimal balancing of road traffic density distributions for the Cell Transmission Model, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), pp.6969-6974, 2012.
DOI : 10.1109/CDC.2012.6426749

URL : https://hal.archives-ouvertes.fr/hal-00727783

X. Qu, S. Wang, and J. Zhang, On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models, Transportation Research Part B: Methodological, vol.73, issue.0, pp.91-102, 2015.
DOI : 10.1016/j.trb.2015.01.001

M. Shahabi and A. Unnikrishnan, Robust hub network design problem, Transportation Research Part E: Logistics and Transportation Review, vol.70, issue.0, pp.356-373, 2014.
DOI : 10.1016/j.tre.2014.08.003

J. W. Van-lint and S. P. Hoogendoorn, A Robust and Efficient Method for Fusing Heterogeneous Data from Traffic Sensors on Freeways, Computer-Aided Civil and Infrastructure Engineering, vol.163, issue.2, pp.596-612, 2010.
DOI : 10.1111/j.1467-8667.2009.00617.x

D. B. Work, S. Blandin, O. Tossavainen, B. Piccoli, and A. M. Bayen, A Traffic Model for Velocity Data Assimilation, Applied Mathematics Research eXpress, vol.2010, issue.1, pp.1-35, 2010.
DOI : 10.1093/amrx/abq002

M. Wright and R. Horowitz, Fusing Loop and GPS Probe Measurements to Estimate Freeway Density, IEEE Transactions on Intelligent Transportation Systems, vol.17, issue.12, pp.1-14, 2016.
DOI : 10.1109/TITS.2016.2565438

T. Xing, X. Zhou, and J. Taylor, Designing heterogeneous sensor networks for estimating and predicting path travel time dynamics: An information-theoretic modeling approach, Transportation Research Part B: Methodological, vol.57, issue.2, pp.66-90, 2013.
DOI : 10.1016/j.trb.2013.09.007

X. Zhou and G. List, An Information-Theoretic Sensor Location Model for Traffic Origin-Destination Demand Estimation Applications, ): 75% 90% 95% 75% 90% 95% 14-04-01 -Tue. 10.4317 19.4079 32.1121 2, pp.254-273, 2010.
DOI : 10.1287/trsc.1100.0319