1. How much GPS data do we need?, A. Patire, M. Wright, B. Prodhomme, A. Bayen, Transportation Research Part C, 2015.
  2. PointQ model of an arterial network: calibration and experiments, F.Y. Tascikaraoglu, J. Lioris, A. Muralidharan, M. Gouy and P. Varaiya, submitted to  Transportation Research Part B: Methodological, 2015. http://arxiv.org/abs/1507.08082
  3. Traffic Management: An Outlook, A. Kurzhanskiy, P. Varaiya, Economics of Transportation (2015) http://dx.doi.org/10.1016/j.ecotra.2015.03.002.
  4. A new model for multi-commodity macroscopic modeling of complex traffic networks, M. Wright, G. Gomes, R. Horowitz and A.A. Kurzhanskiy, 2015.
  5. On the Mixed Monotonicity of FIFO Traffic Flow Models, S. Coogan, M. Arcak and A.A. Kurzhanskiy, 2015.
  6. Macroscopic Modeling of Freeway Networks with HOV/T Lanes, M. Wright, G. Gomes, R. Horowitz and A.A Kuurzhanskiy, 2015.
  7. Fusing Loop and GPS Probe Data to Estimate Freeway Density, M. Wright, R. Horowitz, 2015. Submitted to the IEEE Transactions on Intelligent Transportation Systems (under review).
  8. A PDE-ODE model for a junction with ramp buffer, M. L. Delle Monache, J. Reilly, S. Samaranayake, W. Krichene, P. Goatin, A. M. Bayen, SIAM Journal on Applied Mathematics, 74(1), pp. 22–39, 2014, doi.org/10.1137/130908993.
  9. Adjoint-based optimization on a network of discretized scalar conservation law PDEs with applications to coordinated ramp metering, J. Reilly, W. Krichene, M. Delle Monache, S. Samaranayake, P. Goatin, A. M. Bayen, HAL Archives, October 2013, hal.archives-ouvertes.fr/hal-00878469.
  10. Arriving on time: estimating travel time distributions on large-scale road networks, T. Hunter, A. Hofleitner, J. Reilly, W. Krichene, J. Thai, A. Kouvelas, P. Abbeel, A. Bayen, arXiv.org, February 2013, arXiv: 1302.6617.
  11. Solutions to estimation problems for scalar Hamilton-Jacobi equations using Linear Programing, C. Claudel, T. Chamoin and A. Bayen, IEEE Transactions on Control Systems Technology, 2013
  12.  A phase transition model of non stationary traffic: deffinition, properties and solution method, S. Blandin, J. Argote, A. Bayen and D. Work,Transportation Research Part B, to apear 2012
  13. Understanding Road Usage Patterns in Urban Areas, P. Wang, T. Hunter, M. Gonzales, and A. Bayen, Science, 2012
  14.  Arterial travel time forecast with streaming data: a hybrid approach of flow modeling and machine learning, A. Hofleitner, R. Herring and A. Bayen, in press, Transportation Research Part B, 2012, doi: 10.1016/j.trb.2012.03.006.
  15.  On sequential data assimilation for scalar macroscopic traffic flow models, S. Blandin, A. Couque, A. Bayen and D. Work, Physica D: Nonlinear Phenomena, 241 (2012), pp.1421-1440, doi:10.1016/j.physd.2012.05.005.
  16. Learning the dynamics of arterial traffic from probe data using a Dynamic Bayesian Network, A. Hofleitner, R. Herring, P. Abbeel and A. Bayen, in press IEEE Transactions on Intelligent Transportation Systems, 13, 2012 doi:10.1109/TITS.2012.2200474.
  17. A tractable class of algorithms for reliable routing in stochastic networks, S. Samaranayake, S. Blandin and A. Bayen, Transportation Research Part C, 20(1), pp. 199-217, February 2012, doi:10.1016/j.sbspro.2011.04.521.
  18. Fundamental Diagram of Traffic Flow: New Identification Scheme and Further Evidence from Empirical Data, J. Li, M. Zhang, Transportation Research Record, 2260, pp. 50–59, 2011. DOI: 10.3141/2260-06.
  19. Guaranteed prediction and estimation of the state of a road network, A. Kurzhanskiy, P. Varaiya, Transportation Research Part C, 2011, doi: 10.1016/j.trc.2011.08.007.
  20. Probabilistic Graphical Models of Fundamental Diagram Parameters for Simulations of Freeway Traffic, A. Muralidharan, G. Dervisoglu, R. Horowitz, Transportation Research Record, 2249, pp. 78–85, 2011. DOI: 10.3141/2249-10.
  21. Analysis of Queue Estimation Methods Using Wireless Magnetic Sensors by Rene Sanchez, Roberto Horowitz, Pravin Varaiya. Accepted for publication in Transportation Rsearch Record, 2011 
  22. Convex formulations of data assimilation problems for a class of Hamilton-Jacobi equations, C. Claudel and A.Bayen. SIAM Journal on Optimization and Control, 49(2), pp. 383-402, Mar. 2011. doi:10.1137/090778754
  23.  A general phase transition model for vehicular traffic, S. Blandin, D. Work, P. Goatin, B. Piccoli and A. Bayen,SIAM Journal on Applied Mathematics. 71(1), pp. 107-127, Feb. 2011. doi:10.1137/090754467
  24. Active Traffic Management on Road Networks: A Macroscopic Approach by Alex Kurzhanskiy and Pravin Varaiya in Philosophical Transactions of Royal Society, Part A, 368, 2010 
  25. Evaluation of traffic data obtained via GPS-enabled mobile phones: the Mobile Century field experiment, J.-C. Herrera, D. Work, X. Ban, R. Herring, Q. Jacobson and A. BayenTransportation Research C, 18, pp. 568–583, 2010. doi:10.1016/j.trc.2009.10.006.
  26. Arterial Travel Time Estimation Based On Vehicle Re-Identification Using Wireless Magnetic Sensors by Karric Kwong, Robert Kavaler, Ram Rajagopal, Pravin Varaiya. Transportation Research C, 2009 
  27. Delay pattern estimation for signalized intersections using sampled travel times, J. Ban, R. Herring, P. Hao, and A. BayenTransportation Research Record, No. 2130, pp. 109–119, 2009. doi:10.3141/2130-14
  28. Imputation of ramp flow data for freeway traffic simulation, A. Muralidharan, R. Horowitz, Transportation Research Record, 2099, pp. 58-64, 2009.
  29. Congestion, Ramp Metering and Tolls by Pravin Varaiya in Philosophical Transactions of Royal Society A, 2007
  30. Detecting Errors and Imputing Missing Data for Single-Loop Surveillance Systems, C. Chen, J. Kwon, J. Rice, A. Skabardonis, P. Varaiya, Transportation Research Record, 1855, Paper No. 03-3507, 2003.