88 citations · 207 across the 31 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
On Learning-Based Traffic Monitoring With a Swarm of Drones
Marko Maljkovic, Nikolas Geroliminis
Efficient traffic monitoring is crucial for managing urban transportation networks, especially under congested and dynamically changing traffic conditions. Drones offer a scalable…
Universality in multispecies traffic
Georg Anagnostopoulos, Nikolas Geroliminis
Understanding the nature of traffic heterogeneity is of major importance, given the widespread adoption of micromobility in cities. Based on massive field data and a nonequilibrium…
Multi-Source Urban Traffic Flow Forecasting with Drone and Loop Detector Data
Weijiang Xiong, Robert Fonod, Alexandre Alahi +1
Traffic forecasting is a fundamental task in transportation research, however the scope of current research has mainly focused on a single data modality of loop detectors. Recently…