Journal Papers

Journal Papers

Osorio, C. (forthcoming) High-dimensional offline OD calibration for stochastic traffic simulators of large-scale urban networks, Transportation Research Part B

Chen., X., Osorio C. and Santos, B. (forthcoming). Simulation-based travel time reliable signal controlTransportation Science 

Osorio C. and Punzo, V. (2019). Efficient calibration of microscopic car-following models for large-scale stochastic network modelsTransportation Research Part B 119:156-173.

Osorio C. (2019).  Dynamic origin-destination matrix calibration for large-scale network simulators, Transportation Research Part C 98:186-206.

Lu, J. and Osorio C. (2018). A probabilistic traffic-theoretic network loading model suitable for large-scale network analysisTransportation Science 52(6):1509-1530

Chong, L. and Osorio, C. (2018). A simulation-based optimization algorithm for dynamic large-scale urban transportation problems, Transportation Science 52(3):637-656. 

Flötteröd, G. and Osorio C. (2017). Stochastic network link transmission model, Transportation Research Part B 102:180-209. 

Osorio, C., and Selvam, K. (2017). Simulation-based optimization: achieving computational efficiency through the use of multiple simulators, Transportation Science 51(2):395-411. 

Osorio, C., and Yamani, J. (2017). Analytical and scalable analysis of transient tandem Markovian finite capacity queueing networks, Transportation Science 51(3):823-840. 

Zhang, C., Osorio C., and Flötteröd, G. (2017). Efficient calibration techniques for large-scale traffic simulators, Transportation Research Part B 97:214-239. 

Osorio, C., and Wang, C. (2017). On the analytical approximation of joint aggregate queue-length distributions for traffic networks: a stationary finite capacity Markovian network approach, Transportation Research Part B 95:305-339. 

Osorio, C., and Nanduri, K. (2015). Urban transportation emissions mitigation: coupling high-resolution vehicular emissions and traffic models for traffic signal optimization, Transportation Research Part B 81:520-538. 

Osorio, C., and Chong, L. (2015). A computationally efficient simulation-based optimization algorithm for large-scale urban transportation problems, Transportation Science 49(3):623-636. 

Osorio, C., and Nanduri, K. (2015). Energy-efficient urban traffic management: a microscopic simulation-based approach,Transportation Science 49(3):637-651. 

Osorio, C., and Flötteröd, G. (2015). Capturing dependency among link boundaries in a stochastic dynamic network loading modelTransportation Science 49(2):420-431. 

Osorio, C., and Bierlaire, M. (2013). A simulation-based optimization framework for urban transportation problems,Operations Research 61(6):1333-1345. 

Osorio, C., and Bierlaire, M. (2012). A tractable analytical model for large-scale congested protein synthesis networksEuropean Journal of Operational Research 219(3):588-597. 

Osorio, C., Flötteröd, G., and Bierlaire, M. (2011). Dynamic network loading: a differentiable model that derives link state distributionsTransportation Research Part B, 45(9):1410-1423. 

Osorio, C., and Bierlaire, M. (2009). An analytic finite capacity queueing network model capturing the propagation of congestion and blockingEuropean Journal of Operational Research196(3):996-1007. 

Osorio, C., Weibel, C., Perez, P., Bierlaire, M., and Garnerin, Ph. (2006). Patient flow simulation as a tool for estimating policy impact, Swiss Medical Informatics 58:33-36.