Mobility-on-Demand Versus Fixed-Route Transit Systems: An Evaluation of Traveler Preferences in Low-Income Communities. Xiang Yan, Xilei Zhao, Yuan Han, Pascal Van Hentenryck, Tawanna Dillahunt, Transportation Research Part A.

The Benefits of Autonomous Vehicles for Community-Based Trip Sharing. Hafiz Hasan and Pascal Van Hentenryck. Transportation Research Part C, 124, March 2021.

Large-scale Zone-based Evacuation Planning - Part II: Macroscopic and Microscopic Evaluations. Hafiz Hasan and Pascal Van Hentenryck. Networks. 77(2), 341--358, March 2021.

Branch and Price for Bus Driver Scheduling with Complex Break Constraints. Lucas Kletzander, Nysret Musliu, and Pascal Van Hentenryck. Proceeding of The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), February, 2021.

Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling. Shixiang Zhu, Ruyi Ding, Minghe Zhang, Pascal Van Hentenryck, and Yao Xie. IEEE Transactions on Intelligent Transportation Systems.

Commuting with Autonomous Vehicles: A Branch and Cut Algorithm with Redundant Modeling, Mohd. Hafiz Hasan and Pascal Van Hentenryck. ArXiv:2101.01072.

Capturing Travel Mode Adoption in Designing On-demand Multimodal Transit Systems. Beste Basciftci and Pascal Van Hentenryck. ArXiv:2101:01056.

Large-scale Zone-based Evacuation Planning - Part I: Models and Algorithms. Hafiz Hasan and Pascal Van Hentenryck. Networks, 77(1), 127-145, January 2021.

Prediction and Behavioral Analysis of Travel Mode Choice: A Comparison of Machine Learning and Logit Models. Xiang Yan, Xilei Zhao, Alan Yu, Pascal Van Hentenryck. Travel Behaviour and Society. Volume 20, Pages 22-35, July 2020.

Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control. Connor Riley, Pascal Van Hentenryck, and Enpeng Yuan. In the Proceedings of 29th International Joint Conference on Artificial Intelligence (IJCAI-20), Tokyo, Japan 2020.

Transfer-Expanded Graphs for On-Demand Multimodal Transit Systems. Kevin Dalmeijer and Pascal Van Hentenryck. In the Proceedings of the 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2020), Vienna, Austria, May, 2020.

Bilevel Optimization for On-Demand Multimodal Transit Systems. Beste Basciftci and Pascal Van Hentenryck. In the Proceedings of the 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2020), Vienna, Austria, May, 2020.

The Flexible and Real-Time Commute Trip Sharing Problems. Mohd. Hafiz Hasan and Pascal Van Hentenryck. Constraints, 5, 160-179, 2020.

Shared E-scooters: Business, Pleasure, or Transit? William Espinoza, Matthew Howard, Julia Lane, Pascal Van Hentenryck, Transportation Board Annual Meeting, Washington DC, January 2020.

Optimization Models for Estimating Transit Network Origin-Destination Flows with AVL/APC Data. Xinyu Liu, Pascal Van Hentenryck, and Xilei Zhao. Transportation Board Annual Meeting, January 2020.

Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation. Xilei Zhao, Zhengze Zhou, Xiang Yan, Pascal Van Hentenryck. In the 2020 Transportation Board Annual Meeting, January 2020.

The Commute Trip Sharing Problem. M.H. Hasan, Pascal Van Hentenryck, and Antoine Legrain. Transportation Science, 54(6): 1640-1675, 2020.

Joint Vehicle and Crew Routing and Scheduling. Edward Lam, Pascal Van Hentenryck, and Phil Kilby, Transportation Science, 54(2), Pages 299-564. March-April, 2020.

On-Demand Mobility Systems, Pascal Van Hentenryck, ISE Magazine, Fall 2019.

The Flexible and Real-Time Commute Trip Sharing Problems. Hafiz Hasan and Pascal Van Hentenryck. In the 24th International Conference on the Principles and Practice of Constraint Programming, Stamford, CT, September 2019.

A Column Generation for Online Ride-Sharing Services. Connor Riley, Antoine Legrain, and Pascal Van Hentenryck. In the Proceedings of 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2019), Thessaloniki, Greece, June 4–7, 2019.

Benders Decomposition for the Design of a Hub and Shuttle Public Transit System. Arthur Maheo, Philip Kilby, and Pascal Van Hentenryck. Transportation Science. 53(1), 77-88, January-February 2019.

Constraint and Mathematical Programming Models for Integrated Port Container Terminal Operations, Damla Kizilay, Deniz T. Eliiyi, and Pascal Van Hentenryck. 15th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, Delft, The Netherlands, June 26-29, 2018.

Community-Based Trip Sharing for Urban Commuting. Hafiz Hasan, Pascal Van Hentenryck, Ceren Budak, Joyce Chen, and Chhavi Chaudhry. In the Proceedings of The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, LO. February 2–7, 2018.

Branch and Check with Explanations for the Vehicle Routing Problem with Time Windows. Edward Lam and Pascal Van Hentenryck. In the Proceedings of the 23nd International Conference on Principles and Practice of Constraint Programming. Melbourne Australia, August 2017.

A Branch-and-Price-and-Check Model for the Vehicle Routing Problem with Location Resource constraints. Edward Lam and Pascal Van Hentenryck. Constraints 21(3): 394-412 (2016) (Fast-Track Paper from CPAIOR’06).

Optimizing Infrastructure Enhancements for Evacuation Planning. Kunal Kumar, Julia Romanski, and Pascal Van Hentenryck. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, February, 2016.

Benders Decomposition for Prescriptive Evacuation Planning. Julia Romanski and Pascal Van Hentenryck. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, February, 2016.

A Conflict-Based Path-Generation Heuristic for Evacuation Planning. Victor Pillac, Pascal Van Hentenryck, and Caroline Even. Transportation Research Part B., 83, 136-150, January, 2016.

A Constraint Programming Approach for Non-Preemptive Evacuation Scheduling Caroline Even, Andreas Schutt, and Pascal Van Hentenryck. Proceedings of the International Conference on Principles and Practice of Constraint Programming, Cork, Ireland.

Joint Vehicle and Crew Routing and Scheduling Edward Lam and Pascal Van Hentenryck. Proceedings of the International Conference on Principles and Practice of Constraint Programming, Cork, Ireland.

A Column-Generation Approach for Joint Mobilization and Evacuation Planning Victor Pillac, Manuel Cebrian, and Pascal Van Hentenryck. Constraints, 20(3), 285-303, July 2015. (fast-track paper from CPAIOR’15).

A Multi-Stage Very Large-Scale Neighborhood Search for the Vehicle Routing Problem with Soft Time-Windows Sebastien Mouthuy, Florence Massen, Yves Deville, Pascal Van Hentenryck. Transportation science, 49(2), 223-238, May 2015

NICTA Evacuation Planner: Actionable Evacuation Plans with Contraflows Caroline Even, Victor Pillac, Pascal Van Hentenryck. Proceedings of the Prestigious Applications of Artificial Intelligence 2014 (PAIS2014), Prague, Czech Republic, pp. 1143-1148, August, 2014.

Multi-period vehicle loading with stochastic release dates Tasemin Arda, Yves Crama, David Kronus, Thierry Pironet, Pascal Van Hentenryck. EURO Journal on Transportation and Logistics, pp. 93119, 10.1007/s13676-013-0035-z.

Joint Assessment and Restoration of Power Systems. Pascal Van Hentenryck, Nabeel Gillani, Carleton Coffrin.Proceedings of the European Conference on Artificial Intelligence (ECAI), France, pp. 792-797, August, 2012.

Randomized Adaptive Vehicle Decomposition for Large-Scale Power Restoration Ben Simon, Carleton Coffrin, Pascal Van Hentenryck. Proceedings of the International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR), Nantes, France, pp. 379-394, May, 2012.