2 papers
cs.LG2025
Deep Learning Methods for Adjusting Global MFD Speed Estimations to Local Link Configurations
Zhixiong Jin, Dimitrios Tsitsokas, Nikolas Geroliminis +1
In large-scale traffic optimization, models based on Macroscopic Fundamental Diagram (MFD) are recognized for their efficiency in broad network analyses. However, they fail to refl…
math.OC2025
Assessing How Ride-hailing Rebalancing Strategies Improve the Resilience of Multi-modal Transportation Systems
Euntak Lee, Rim Slama, Ludovic Leclercq
The global ride-hailing (RH) industry plays an essential role in multi-modal transportation systems by improving user mobility, particularly as first- and last-mile solutions. Howe…