Publications de Jasso Espadaler Clapés

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

Empirical investigation of lane usage, lane changing and lane choice phenomena in a multimodal urban arterial

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

The combination of multimodal interactions, dynamic congestion and lane changing phenomena in an urban environment can have a strong impact on traffic flow dynamics, active road capacity and road safety. However, while there is a vast understanding of micr ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Continuous Monitoring of a Signalized Intersection Using Unmanned Aerial Vehicles

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

The use of drones offers an innovative traffic data collection technique that allows to capture very detailed and accurate vehicle trajectories. However, deploying them for an entire day would be prohibitively expensive due to the limitations of their batt ...

IEEE2023

Traffic congestion and noise emissions with detailed vehicle trajectories from UAVs

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

Excessive noise in cities due to road traffic negatively affects human health. We utilize detailed vehicle trajectories collected by a swarm of drones to estimate traffic noise emissions in an urban environment. We use the CNOSSOS model to estimate vehicle ...

Pergamon-Elsevier Science Ltd2023

An automatized signal timing detection at signalized intersections with detailed vehicle trajectory data

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

Signalized intersections are a fundamental part of urban networks. Their understanding is crucial to identify congestion patterns, queues, delays, and safety issues in local and network level. In this work, we analyze multimodal vehicle trajectories and pr ...

2022