Publications de Nikolaos Geroliminis

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

Nikolaos Geroliminis, Jasso Espadaler Clapés, Emmanouil Barmpounakis

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, Jasso Espadaler Clapés, Emmanouil Barmpounakis

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

On the optimal micro-hub locations in a multi-modal last-mile delivery system

Nikolaos Geroliminis

Last-mile delivery is one of the most polluting parts of the supply chain. This is partially caused by increased congestion in urban areas and repetitive stop-and-go traffic. One possible alternative to this is to use micro-mobility to replace large motori ...

2025

A ride time-oriented scheduling algorithm for dial-a-ride problems

Nikolaos Geroliminis, Claudia Bongiovanni, Mor Kaspi

This paper offers a new algorithm to efficiently optimize scheduling decisions for dial-a-ride problems (DARPs), including problem variants considering electric and autonomous vehicles (e-ADARPs). The scheduling heuristic, based on linear programming theor ...

Pergamon-Elsevier Science Ltd2024

A column and row generation approach to the crowd-shipping problem with transfers

Nikolaos Geroliminis, Patrick Stefan Adriaan Stokkink

Crowd-shipping is a last-mile delivery concept in which commuters pick up and deliver parcels on their pre-existing paths. In urban areas, crowd-shipping circumvents problems that traditional last-mile delivery systems suffer from, such as road congestion ...

2024

Macroscopic Pricing Schemes for the Utilization of Pool Ride-Hailing Vehicles in Bus Lanes

Nikolaos Geroliminis, Lynn Fayed, Nils Gustav Nilsson

With the increasing popularity of ride-hailing services, new modes of transportation are having a significant impact on the overall performance of transportation networks. As a result, there is a need to ensure that both the various transportation alternat ...

Institute of Electrical and Electronics Engineers Inc.2024

A Blotto Game Approach to Ride-hailing Markets with Electric Vehicles

Nikolaos Geroliminis, Marko Maljkovic, Nils Gustav Nilsson

When a centrally operated ride-hailing company considers to enter a market already served by another company, it has to make a strategic decision about how to distribute its fleet among different regions in the area. This decision will be influenced by the ...

Institute of Electrical and Electronics Engineers Inc.2024

Monitoring Outdoor Parking in Urban Areas With Unmanned Aerial Vehicles

Nikolaos Geroliminis, Yura Tak, Sohyeong Kim, Emmanouil Barmpounakis

Monitoring outdoor urban parking areas has traditionally relied on either costly sensing technology, such as ground sensors, or manual inspections, which are both resource-intensive. The emergence of drones equipped with advanced visual sensors provide a c ...

IEEE Institute of Electrical and Electronics Engineers2024

pNEUMA dataset

Nikolaos Geroliminis, Emmanouil Barmpounakis

pNEUMA is an open large-scale dataset of naturalistic trajectories of half a million vehicles that have been collected by a one-of-a-kind experiment by a swarm of drones in the congested downtown area of Athens, Greece. A unique observatory of traffic cong ...

Zenodo2024

A two-level resolution neural network with enhanced interpretability for freeway traffic forecasting

Nikolaos Geroliminis, Semin Kwak, Danya Li

© The Author(s) 2024.Deep learning models are widely used for traffic forecasting on freeways due to their ability to learn complex temporal and spatial relationships. In particular, graph neural networks, which integrate graph theory into deep learning, h ...

Nature Research2024

An Iterative Adaptive Dynamic Programming Approach for Macroscopic Fundamental Diagram-Based Perimeter Control and Route Guidance

Nikolaos Geroliminis, Can Chen

Macroscopic fundamental diagrams (MFDs) have been widely adopted to model the traffic flow of large-scale urban networks. Coupling perimeter control and regional route guidance (PCRG) is a promising strategy to decrease congestion heterogeneity and reduce ...

Informs2024

A Coverage Control-Based Idle Vehicle Rebalancing Approach for Autonomous Mobility-on-Demand Systems

Nikolaos Geroliminis, Giancarlo Ferrari Trecate, Pengbo Zhu

As an emerging mode of urban transportation, autonomous mobility-on-demand (AMoD) systems show the potential in improving mobility in cities through timely and door-to-door services. However, the spatiotemporal imbalances between mobility demand and supply ...

Ieee-Inst Electrical Electronics Engineers Inc2024