10 papers
Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting
Weijiang Xiong, Robert Fonod, Nikolas Geroliminis
Traffic forecasting is a challenging spatio-temporal modeling task and a critical component of urban transportation management. Current studies mainly focus on deterministic predic…
Cooperative Detour Planning for Dual-Task Drone Fleets
Pengbo Zhu, Meng Xu, Andreas A. Malikopoulos +1
As Urban air mobility scales, commercial drone fleets offer a compelling, yet underexplored opportunity to function as mobile sensor networks for real-time urban traffic monitoring…
No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing
Anna Maddux, Marko Maljkovic, Nikolas Geroliminis +1
We consider the problem of efficiently learning to play single-leader multi-follower Stackelberg games when the leader lacks knowledge of the lower-level game. Such games arise in…
Resource-Splitting Games with Tullock-Based Lossy Contests
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
This paper introduces a novel class of multi-stage resource allocation games that model real-world scenarios in which profitability depends on the balance between supply and demand…
Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery
Robert Fonod, Haechan Cho, Hwasoo Yeo +1
This paper presents a framework for extracting georeferenced vehicle trajectories from high-altitude drone imagery, addressing key challenges in urban traffic monitoring and the li…
En Route Path-planning for Partially Occupied Vehicles in Ride-pooling Systems
Pengbo Zhu, Giancarlo Ferrari-Trecate, Nikolas Geroliminis
Ride-pooling services, such as UberPool and Lyft Shared Saver, enable a single vehicle to serve multiple customers within one shared trip. Efficient path-planning algorithms are cr…