AI for Vision Zero in Road Safety

Informazioni relative al progetto

IVORY

ID dell’accordo di sovvenzione: 101119590

DOI

10.3030/101119590

Data della firma CE 14 Luglio 2023

Data di avvio 1 Novembre 2023

Data di completamento 31 Ottobre 2027

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 3 334 846,80

Coordinato da

TECHNISCHE UNIVERSITEIT DELFT
Netherlands

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Websites, patent fillings, videos etc. (1)

IVORY project website

Documents, reports (2)

Methodologies for the detection, analysis and management of road risk through AI (all DCs)
Methodologies for road user assistance and human-vehicle-environment interactions (all DCs)

Pubblicazioni

Conference proceedings (8)

Road segmentation made simple: a practical comparison of segmentation models and post-processing techniques

Autori: Júlia Alves Porto, Apostolos Ziakopoulos,George Yannis
Pubblicato in: 12th International Congress on Transportation Research (ICTR), Thessaloniki, Greece, 16-18 October 2025, 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.17648597

Classifying Vehicle Cornering Behavior using Mobile Sensor Data

Autori: Aristotelis Tsoutsanis, George Yannis
Pubblicato in: 13th Symposium of the European Association for Research in Transportation (hEART2025), 2025
Editore: 13th Symposium of the European Association for Research in Transportation
DOI: 10.5281/ZENODO.17663810

Identifying Dangerous Street Segments and Traffic Behavior in Athens using Telematics, Crash and Traffic data

Autori: Tsoutsanis, A., Peithis, S., Ziakopoulos, A., & Yannis, G
Pubblicato in: 12th INTERNATIONAL CONGRESS ON TRANSPORTATION RESEARCH (ICTR), 2025
Editore: 2th INTERNATIONAL CONGRESS ON TRANSPORTATION RESEARCH
DOI: 10.5281/ZENODO.17664036

EfficientNet-Swin Transformer for Automated iRAP Road Safety Attribute Extraction in Low-and Middle-Income Countries (ICTR)

Autori: Hassani, A., Shahid, M., Rozi, O., & Ševrović, M.
Pubblicato in: 12th International Congress on Transportation Research, 2025
Editore: 12th International Congress on Transportation Research (ICTR)
DOI: 10.5281/ZENODO.17663574

The use of Graph Neural Networks for Clustering in Road Safety Analysis

Autori: Paradiso, S., Ziakopoulos, A., & Yannis, G.
Pubblicato in: 13th Symposium of the European Association for Research in Transportation (hEART), 2025
Editore: 13th Symposium of the European Association for Research in Transportation (hEART)
DOI: 10.5281/ZENODO.17664140

Aggregating Telematics Data for Road Safety Analysis.

Autori: Simone Paradiso
Pubblicato in: 12th International Congress on Transportation Research (ICTR)
Editore: 12th International Congress on Transportation Research (ICTR)
DOI: 10.5281/ZENODO.17664236

Combining diverse data sources for intersection crash analyses based on incomplete records

Autori: Paradiso, S., Nikolaou, D., Ziakopoulos, A., Aivaliotis, A., & Yannis, G.
Pubblicato in: International Symposium Navigating the Future of Traffic Management, 2025
Editore: International Symposium Navigating the Future of Traffic Management
DOI: 10.5281/ZENODO.17664177

Hierarchical Clustering on Graph Embeddings: A Scalable Approach to Risky Intersections

Autori: Paradiso, S., Ziakopoulos, A., & Yannis, G.
Pubblicato in: 20th International Conference Road Safety on Five Continents (RS5C)., 2025
Editore: 20th International Conference Road Safety on Five Continents (RS5C).
DOI: 10.5281/ZENODO.17664205

Peer reviewed articles (2)

Optimizing Car Collision Detection Using Large Dashcam-Based Datasets: A Comparative Study of Pre-Trained Models and Hyperparameter Configurations

Autori: Shahid, Muhammad; Gregurić, Martin; Hassani, Amirhossein; Ševrović, Marko
Pubblicato in: Applied Sciences, Numero 15(13), 2025, ISSN 2076-3417
Editore: Multidisciplinary Digital Publishing Institute
DOI: 10.3390/APP15137001

Lane Change Detection of Surrounding Vehicles in Dashcam Videos: A Synthesis of Methods and Challenges for Future Research

Autori: Shi Qiu, Tom Brijs, André Lourenço, Wim Ectors, Muhammad Adnan, Carlos Carreiras, Pedro Mendes Jorge
Pubblicato in: Transportation Research Procedia, Numero 91, 2025, ISSN 2352-1465
Editore: Elsevier BV
DOI: 10.1016/J.TRPRO.2025.10.058