AI for Vision Zero in Road Safety

MSCA (Marie Skłodowska-Curie)HORIZON-TMA-MSCA-DN-IDID: 101119590
EC Contribution
€33,348
Consortium Size
22 orgs
Start Year
2023
Summary

IVORY - ‘AI for Vision Zero in Road Safety’ is an industrial doctorates network aiming to develop a new framework for optimal integration of Artificial Intelligence (AI) in road safety research, and train a new generation of leading researchers in the field. It addresses the UN Sustainable Development Goals target 3.6 and the EC Vision Zero strategy, of halving traffic fatalities by 2030 and eliminating them by 2050.IVORY addresses the lack of common understanding of the challenges and opportunities of AI for road safety by means of 4 research goals: it aims to develop (i) responsible, fair and impactful AI for road safety, (ii) new ways of road user support and human-vehicle-environment interaction, (iii) new scalable and equitable AI technologies for proactive infrastructure safety management, (iv) a sustainable knowledge sharing network on AI for road safety. IVORY outputs will not only provide more robust user support through AI in vehicle automation, but will also allow to responsibly and proactively manage the persistent problems of existing conventional, low-automation transport systems, so that new opportunities for global road safety impact can emerge. Moreover, IVORY takes a design-for-values approach for AI in road safety, operationalising the ethical principles of justice and explainability, and providing efficient AI solutions also for disadvantaged groups (e.g. vulnerable road users, low-to-middle-income countries). IVORY consists of 4 academic and 6 non-academic beneficiaries, and 12 associated partners, joining from engineering, data science and ethics of technology disciplines, from 11 countries. 13 young researchers will receive high-level doctoral education, industrial exposure, local training, and 8.5 ECTS of network-wide training on key advanced, core and transferable skills.IVORY will create an on-line learning & networking platform for AI in road safety, to be available after the end of the project for future researchers in this field.

Consortium (22)

Project Results (13)

Source: CORDIS, the EU research results database.

Publications (10)
Classifying Vehicle Cornering Behavior using Mobile Sensor Data
13th Symposium of the European Association for Research in Transportation (hEART2025)· 2025DOI
Aristotelis Tsoutsanis, George Yannis
Combining diverse data sources for intersection crash analyses based on incomplete records
International Symposium Navigating the Future of Traffic Management· 2025DOI
Paradiso, S., Nikolaou, D., Ziakopoulos, A., Aivaliotis, A., & Yannis, G.
EfficientNet-Swin Transformer for Automated iRAP Road Safety Attribute Extraction in Low-and Middle-Income Countries (ICTR)
12th International Congress on Transportation Research· 2025DOI
Hassani, A., Shahid, M., Rozi, O., & Ševrović, M.
Hierarchical Clustering on Graph Embeddings: A Scalable Approach to Risky Intersections
20th International Conference Road Safety on Five Continents (RS5C).· 2025DOI
Paradiso, S., Ziakopoulos, A., & Yannis, G.
Identifying Dangerous Street Segments and Traffic Behavior in Athens using Telematics, Crash and Traffic data
12th INTERNATIONAL CONGRESS ON TRANSPORTATION RESEARCH (ICTR)· 2025DOI
Tsoutsanis, A., Peithis, S., Ziakopoulos, A., & Yannis, G
Lane Change Detection of Surrounding Vehicles in Dashcam Videos: A Synthesis of Methods and Challenges for Future Research
Transportation Research Procedia· 2025DOI
Shi Qiu, Tom Brijs, André Lourenço, Wim Ectors, Muhammad Adnan, Carlos Carreiras, Pedro Mendes Jorge
Optimizing Car Collision Detection Using Large Dashcam-Based Datasets: A Comparative Study of Pre-Trained Models and Hyperparameter Configurations
Applied Sciences· 2025DOI
Shahid, Muhammad; Gregurić, Martin; Hassani, Amirhossein; Ševrović, Marko
Road segmentation made simple: a practical comparison of segmentation models and post-processing techniques
12th International Congress on Transportation Research (ICTR), Thessaloniki, Greece, 16-18 October 2025· 2025DOI
Júlia Alves Porto, Apostolos Ziakopoulos,George Yannis
The use of Graph Neural Networks for Clustering in Road Safety Analysis
13th Symposium of the European Association for Research in Transportation (hEART)· 2025DOI
Paradiso, S., Ziakopoulos, A., & Yannis, G.
Aggregating Telematics Data for Road Safety Analysis.
12th International Congress on Transportation Research (ICTR)DOI
Simone Paradiso
Deliverables (3)