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

Working Papers

Riley, C., Lu, J., Santanam, T., Kim, M.S., Guan, H., Trasatti, A., Van Hentenryck, P. Autonomous Vehicles in On-Demand Multimodal Transit Systems: Extensions of a Pilot in Atlanta Guan, H., Lu, J., Akhlaghi, V.E., Van Hentenryck, P. Optimizing Truck Fleet Scheduling for Fuel Deliveries

Presentations

Conference Presentations

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 Interest

Optimization and machine learning to innovate transportation systems with the goal to make more intelligent and operationally efficient mobility, transit, and freight systems.

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

Research focus on methodologies and applications of multimodal transit systems and mobility services.

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.