Publications by Nikolaos Geroliminis

Vehicle Trajectory Dataset from Drone-Collected Data at Three Swiss Roundabouts

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

Overview This dataset provides high-resolution, georeferenced vehicle trajectories collected via drone footage at three roundabouts located in the municipalities of Frick and Laufenburg, Canton of Aargau, Switzerland. The data were collected as part of a ...

Zenodo2025

An accurate safety and congestion monitoring framework with a swarm of drones

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

This paper provides a complete framework to illustrate the pioneering application of drones in traffic safety analysis, which includes the design of drone operations, extraction of vehicle trajectories using state-of-the-art computer vision techniques, der ...

Elsevier BV2025

Deep Learning Methods for Adjusting Global MFD Speed Estimations to Local Link Configurations

Nikolaos Geroliminis, Dimitrios Tsitsokas

Institute of Electrical and Electronics Engineers (IEEE)2025

Regulating competition between transit and ride-hailing with transit priority zones

Nikolaos Geroliminis, Zhenyu Yang

The thriving ride-hailing (RH) industry over the last decade provides passengers with flexible mobility options but also stimulates discussions about the possible cannibalization of public transport (PT) ridership. To foster PT and improve system efficienc ...

2025

On decentralized computation of the leader's strategy in bi-level games

Nikolaos Geroliminis, Marko Maljkovic

Motivated by the omnipresence of hierarchical structures in many real-world applications, this study delves into the intricate realm of bi-level games, with a specific focus on exploring local Stackelberg equilibria as a solution concept. While existing li ...

2025

Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery

Nikolaos Geroliminis

This paper presents a comprehensive framework for extracting georeferenced vehicle trajectories from high-altitude drone imagery, addressing key challenges in urban traffic monitoring and the limitations of traditional ground-based systems. Our approach in ...

Elsevier BV2025

Optimal matching for ridesharing systems with endogenous and flexible user participation

Nikolaos Geroliminis, Zhenyu Yang

The performance of ridesharing systems is intricately entwined with user participation. To characterize such interplay, we adopt a repeated multi-player, non-cooperative game approach to model a ridesharing platform and its users’ decision-making. Users re ...

2025

Optimizing multi-modal ride-matching with transfers

Nikolaos Geroliminis

One of the limitations of ride-sharing is that matched drivers and riders need to have similar itineraries and desired arrival times for ride-sharing to be competitive against other transport modes. By allowing a single transfer at a designated transfer hu ...

2025

Songdo Vision: Vehicle Annotations from High-Altitude BeV Drone Imagery in a Smart City

Nikolaos Geroliminis

The Songdo Vision dataset provides high-resolution (4K, 3840×2160 pixels) RGB images annotated with categorized axis-aligned bounding boxes (BBs) for vehicle detection from a high-altitude bird’s-eye view (BeV) perspective. Captured over Songdo Internation ...

Zenodo2025

Songdo Traffic: High Accuracy Georeferenced Vehicle Trajectories from a Large-Scale Study in a Smart City

Nikolaos Geroliminis

The Songdo Traffic dataset delivers precisely georeferenced vehicle trajectories captured through high-altitude bird's-eye view (BeV) drone footage over Songdo International Business District, South Korea. Comprising approximately 700,000 unique trajectori ...

Zenodo2025