Research Interests

Methodologies: Data-driven optimization, large-scale optimization, network modeling, game theory, reinforcement learning
Applications: Multimodal transportation systems, incentive schemes, shared autonomous mobility systems, autonomous vehicle technologies, contested logistics

Publications

Peer-Reviewed Journals

Lu, J., Trasatti, A., Guan, H., Dalmeijer, K., Van Hentenryck, P. (2024). The Impact of Congestion and Dedicated Lanes on On-Demand Multimodal Transit Systems [Special Issue: Multimodal Public Transport, Travel Behaviour and Social Equity]. Travel Behaviour and Society. Volume 36, 100772. https://doi.org/10.1016/j.tbs.2024.100772

Under Revision

Lu, J., Masoud, N. (2025). The Incentive Bundle Program to Enhance Multimodal Transportation. Submitted to Transportation Science. Lu, J., Masoud, N. (2025). Incentive Design for Mobility Services: A Review and Future Directions. Submitted to Transportation Research Part C: Emerging Technologies. http://doi.org/10.13140/RG.2.2.32670.60480

Working Papers

Lu, J., Xia, X., Bahrami, S., Masoud, N. Can Incentives Reshape How We Move? A Multiclass, Multimodal Traffic Assignment Perspective. In Preparation for Transportation Research Part C: Emerging Technologies.

Presentations

Invited Talks

The Incentive Bundle Program to Enhance Multimodal Transport. Next Generation Transportation Systems Seminar Series, Department of Civil and Environmental Engineering, University of Michigan, February 27, 2025.

Conference Presentations

Lu, J., Masoud, N. A Game Between Ridehailing Operator and Government Under the Incentive Bundle Program. 2025 INFORMS Annual Meeting, Atlanta, Georgia, October 26-29, 2025. Lu, J., Masoud, N. The Incentive Bundle Program to Enhance Multimodal Transportation. 7th Bridging Transportation Researchers Conference, Virtual, August 6-7, 2025. Masoud, S., Masoud, N., Alinezhad, E., Lu, J., Rapp, S., Rimanelli, J. Adaptive Contested Logistics: A DDDAS Framework with Dynamic Bayesian Belief Networks. 2025 ARC Annual Program Review, Ann Arbor, Michigan, June 17-18, 2025. Masoud, N., Lu, J., Chen, C., Liu, Y., Wu, Y., Kusari, A. Balancing Safety, Cybersecurity, and Mobility: Quantifying the Impact of Sensor Redundancy in CAVs. 2025 CCAT Global Symposium on Mobility Innovation, Ann Arbor, Michigan, March 28, 2025. Lu, J., Masoud, N. Designing Incentive Bundles for Multimodal Transportation Systems. 2024 INFORMS Annual Meeting, Seattle, Washington, October 20-23, 2024. Akhlaghi, V.E., Guan, H., Lu, J., Van Hentenryck, P. Optimizing Truck Fleet Scheduling for Fuel Deliveries. 2023 INFORMS Annual Meeting, Phoenix, Arizona, October 15-18, 2023.

Research Experience

University of Michigan

I currently serve as a Graduate Student Research Assistant in the Next Generation Mobility Systems Lab under Prof. Neda Masoud.

Next Generation Mobility Systems Lab

My research is on user-centered and system-oriented design for multimodal transportation systems. I also conduct research on AV technologies and contested logistics.

Georgia Tech

I served as an Undergraduate Research Assistant and Pre-Doctoral Research Assistant in the Socially Aware Mobility Lab (SAM) and the Artificial Intelligence Institute for Advances in Optimization (AI4OPT) under Prof. Pascal Van Hentenryck.

Socially Aware Mobility

The core focus of the SAM Lab is on On-Demand Multimodal Transit Systems: a novel transit system made up of fixed bus and rail networks with shuttles routed dynamically based on transit demand. ODMTS innovates transit by solving the first/last mile problem and providing convenience to riders. This video goes into ODMTS in more detail. I worked on a series of projects contributing to ODMTS.

Artificial Intelligence Institute for Advances in Optimization

AI4OPT is a Research Institute aimed at combining artificial intelligence and mathematical optimization to bring innovative changes in automated decision making techniques. I worked on a project in collaboration with an industrial partner focused on solving complex logistics in supply chain.