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ORCIDCarolina Osorio
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- affiliation: HEC Montréal, Canada
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2020 – today
- 2025
[i13]Chao Zhang, Yechen Li, Neha Arora, Damien Pierce, Carolina Osorio:
Traffic Simulations: Multi-City Calibration of Metropolitan Highway Networks. CoRR abs/2501.04783 (2025)- [i12]Chao Zhang, Yechen Li, Neha Arora, Carolina Osorio:
On How Traffic Signals Impact the Fundamental Diagrams of Urban Roads. CoRR abs/2501.06306 (2025) - [i11]Arwa Alanqary, Chao Zhang, Yechen Li, Neha Arora, Carolina Osorio:
Improving Simulation-Based Origin-Destination Demand Calibration Using Sample Segment Counts Data. CoRR abs/2502.19528 (2025) - 2024
- [j14]Timothy Tay
, Carolina Osorio:
A Sampling Strategy for High-Dimensional, Simulation-Based Transportation Optimization Problems. Transp. Sci. 58(5): 947-972 (2024) - [c6]Sam Griesemer, Defu Cao, Zijun Cui, Carolina Osorio, Yan Liu:
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference. NeurIPS 2024 - [i10]Shushman Choudhury, Abdul Rahman Kreidieh, Iveel Tsogsuren, Neha Arora, Carolina Osorio, Alexandre M. Bayen:
Scalable Learning of Segment-Level Traffic Congestion Functions. CoRR abs/2405.06080 (2024) - [i9]Sam Griesemer, Defu Cao, Zijun Cui, Carolina Osorio, Yan Liu:
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference. CoRR abs/2412.05590 (2024) - [i8]Suyash C. Vishnoi, Akhil Shetty, Iveel Tsogsuren, Neha Arora, Carolina Osorio:
On the Use of Abundant Road Speed Data for Travel Demand Calibration of Urban Traffic Simulators. CoRR abs/2412.14089 (2024) - [i7]José Correa, Carolina Osorio, Laura Vargas Koch, David P. Watling, Svenja Griesbach:
Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 24281). Dagstuhl Reports 14(7): 1-16 (2024) - 2023
- [c5]Suyash C. Vishnoi, Akhil Shetty, Iveel Tsogsuren, Neha Arora, Carolina Osorio:
On the Use of Abundant Road Speed Data for Travel Demand Calibration of Urban Traffic Simulators. SIGSPATIAL/GIS 2023: 21:1-21:4 - 2022
- [c4]Martin Mladenov, Sanjay Ganapathy Subramaniam, Chih-Wei Hsu, Neha Arora, Andrew Tomkins, Craig Boutilier, Carolina Osorio:
An adversarial variational inference approach for travel demand calibration of urban traffic simulators. SIGSPATIAL/GIS 2022: 6:1-6:4 - [i6]Martin Gairing, Carolina Osorio, Britta Peis, David P. Watling, Katharina Eickhoff:
Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 22192). Dagstuhl Reports 12(5): 92-111 (2022) - 2021
- [j13]Evan Fields, Carolina Osorio, Tianli Zhou:
A Data-Driven Method for Reconstructing a Distribution from a Truncated Sample with an Application to Inferring Car-Sharing Demand. Transp. Sci. 55(3): 616-636 (2021) - [j12]Carolina Osorio, Bilge Atasoy:
Efficient Simulation-Based Toll Optimization for Large-Scale Networks. Transp. Sci. 55(5): 1010-1024 (2021) - [i5]Jing Lu, Carolina Osorio:
On the approximation of queue-length distributions in transportation networks. CoRR abs/2104.07129 (2021) - [i4]Jing Lu, Tianli Zhou, Carolina Osorio:
Adaptive Partitioning Strategy for High-Dimensional Discrete Simulation-based Optimization Problems. CoRR abs/2104.14119 (2021) - [i3]Neha Arora, Yi-Fan Chen, Sanjay Ganapathy, Yechen Li, Ziheng Lin, Carolina Osorio, Andrew Tomkins, Iveel Tsogsuren:
An Efficient Simulation-Based Travel Demand Calibration Algorithm for Large-Scale Metropolitan Traffic Models. CoRR abs/2109.11392 (2021) - [i2]Neha Arora, Theophile Cabannes, Sanjay Ganapathy, Yechen Li, Preston McAfee, Marc Nunkesser, Carolina Osorio, Andrew Tomkins, Iveel Tsogsuren:
Quantifying the sustainability impact of Google Maps: A case study of Salt Lake City. CoRR abs/2111.03426 (2021)
2010 – 2019
- 2019
- [j11]Xiao Chen, Carolina Osorio, Bruno Filipe Santos:
Simulation-Based Travel Time Reliable Signal Control. Transp. Sci. 53(2): 523-544 (2019) - 2018
- [j10]Linsen Chong, Carolina Osorio:
A Simulation-Based Optimization Algorithm for Dynamic Large-Scale Urban Transportation Problems. Transp. Sci. 52(3): 637-656 (2018) - [j9]Jing Lu, Carolina Osorio:
A Probabilistic Traffic-Theoretic Network Loading Model Suitable for Large-Scale Network Analysis. Transp. Sci. 52(6): 1509-1530 (2018) - [i1]Roberto Cominetti, Tobias Harks, Carolina Osorio, Britta Peis:
Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 18102). Dagstuhl Reports 8(3): 21-38 (2018) - 2017
- [j8]Carolina Osorio, Krishna Kumar Selvam:
Simulation-Based Optimization: Achieving Computational Efficiency Through the Use of Multiple Simulators. Transp. Sci. 51(2): 395-411 (2017) - [j7]Carolina Osorio, Jana Yamani:
Analytical and Scalable Analysis of Transient Tandem Markovian Finite Capacity Queueing Networks. Transp. Sci. 51(3): 823-840 (2017) - 2015
- [j6]Carolina Osorio, Gunnar Flötteröd:
Capturing Dependency Among Link Boundaries in a Stochastic Dynamic Network Loading Model. Transp. Sci. 49(2): 420-431 (2015) - [j5]Carolina Osorio, Linsen Chong:
A Computationally Efficient Simulation-Based Optimization Algorithm for Large-Scale Urban Transportation Problems. Transp. Sci. 49(3): 623-636 (2015) - [j4]Carolina Osorio, Kanchana Nanduri:
Energy-Efficient Urban Traffic Management: A Microscopic Simulation-Based Approach. Transp. Sci. 49(3): 637-651 (2015) - 2013
- [j3]Carolina Osorio, Michel Bierlaire:
A Simulation-Based Optimization Framework for Urban Transportation Problems. Oper. Res. 61(6): 1333-1345 (2013) - [c3]Franco Chingcuanco, Carolina Osorio:
A procedure to select the best subset among simulated systems using economic opportunity cost. WSC 2013: 452-462 - 2012
- [j2]Carolina Osorio, Michel Bierlaire:
A tractable analytical model for large-scale congested protein synthesis networks. Eur. J. Oper. Res. 219(3): 588-597 (2012) - [c2]Carolina Osorio, Hoda Bidkhori:
Combining metamodel techniques and Bayesian selection procedures to derive computationally efficient simulation-based optimization algorithms. WSC 2012: 422:1-422:9 - [c1]Carolina Osorio, Linsen Chong:
An efficient simulation-based optimization algorithm for large-scale transportation problems. WSC 2012: 423:1-423:11
2000 – 2009
- 2009
- [j1]Carolina Osorio, Michel Bierlaire:
An analytic finite capacity queueing network model capturing the propagation of congestion and blocking. Eur. J. Oper. Res. 196(3): 996-1007 (2009)
Coauthor Index
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