Research Interests

Methodologies: optimization, machine learning, game theory, simulation, network modeling
Applications: shared mobility, incentive mechanisms, connected and autonomous vehicles, logistics

Publications

Peer-Reviewed Journals

Lu, J., Masoud, N. (2026). Incentive Design for Mobility Systems: A Review, Insights, and Future Directions. Transportation Research Part E: Logistics and Transportation Review. Volume 211, 104849. https://doi.org/10.1016/j.tre.2026.104849 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 Review

Lu, J., Santanam, T., Guan, H., Riley, C., Kim, M.S., Trasatti, A., Masoud, N., Van Hentenryck, P. (2025). The Impact of Shared Autonomous Vehicles in Microtransit Systems: A Case Study in Atlanta. Under Review in Transportation Research Part C: Emerging Technologies. https://doi.org/10.48550/arXiv.2601.21046 Lu, J., Xia, X., Bahrami, S., Masoud, N. (2026). Path-Based Incentives for Multimodal Networks under Multiclass Traffic Assignment. Submitted to Transportation Research Part B: Methodological. https://doi.org/10.13140/RG.2.2.15344.62722

Working Papers

Lu, J., Masoud, N. (2025). The Incentive Bundle Program: Behaviorally-Consistent Incentive Design for Multimodal Transportation. In Preparation for Transportation Research Part B: Methodological. https://doi.org/10.13140/RG.2.2.22027.14882 Lu, J., Masoud, N. Cooperation and Competition in Multimodal Transportation Incentive Programs: A Tri-level Game-Theoretic Optimization Approach. Extended Abstract Accepted at the 2026 INFORMS Transportation Science and Logistics Conference. Lu, J., Chen, C., Liu, Y., Wu, Y., Kusari, A., Masoud, N. A Large-Scale Optimization and Simulation Framework for Sensor Configuration in Connected and Autonomous Vehicles. Abstract Submitted to the 2026 INFORMS Annual Meeting.

Presentations

Invited Talks

A Large-Scale Optimization and Simulation Framework for Sensor Configuration in Connected and Autonomous Vehicles. Next Generation Transportation Systems Seminar Series, Department of Civil and Environmental Engineering, University of Michigan, March 19, 2026. 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. Cooperation and Competition in Multimodal Transportation Incentive Programs: A Tri-level Game-Theoretic Optimization Approach. 2026 INFORMS Transportation Science and Logistics Conference, Boston, Massachusetts, July 26-29, 2026. Lu, J., Chen, C., Liu, Y., Wu, Y., Kusari, A, Masoud, N. A Large-Scale Optimization and Simulation Framework for Sensor Configuration in Connected and Autonomous Vehicles. 2026 CCAT Global Symposium on Mobility Innovation, Ann Arbor, Michigan, April 17, 2026. Lu, J., Xia, X., Bahrami, S., Masoud, N. Can Incentives Reshape How We Move? A Multimodal Traffic Assignment Perspective. The 105th Transportation Research Board Annual Meeting, Washington, D.C., January 11-15, 2026. 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 Dynamic Data-Driven Application System 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 Connected and Autonomous Vehicles. 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.