IVORY – ‘AI for Vision Zero in Road Safety’ is an industrial doctorates network, aiming to develop a new framework for the integration of AI in road safety and create a new generation of leading researchers in the field, in order to address the UN Sustainable Development Goals target 3.6 (halving the number of traffic fatalities by 2030) and EC ‘Vision Zero’ strategy (eliminating traffic fatalities by 2050). IVORY consists of 4 academic and 8 non-academic beneficiaries, as well as 8 associated partners, joining from engineering, data science and ethics of technology disciplines from 10 countries. It will train 15 researchers on new responsible AI applications for road user assistance and infrastructure safety management, and will create a sustainable learning and networking platform.

IVORY Network at RAP in Europe 2024

by James Bradford | September 27, 2024 | Uncategorized | 0 Comments

Dr. Eleonora Papadimitriou provided a progress update on the IVORY Network at the RAP in Europe 2024 event on the 4th and 5th September in Brussels, highlighting how the Doctoral Candidates will be carrying out research into using AI to address various areas of road...

IVORY project selected for REA “AI” page

by James Bradford | December 15, 2023 | Uncategorized | 0 Comments

The IVORY project has been selected in the European Research Executive Agencies initial selection of projects to be presented in the REA “AI” page (https://europa.eu/!yKK9mF).

IVORY Kick off

by James Bradford | November 22, 2023 | Uncategorized | 0 Comments

Our #horizoneurope doctoral network "IVORY", coordinated by TU Delft | Technology, Policy and Management, had its kick off meeting this week in Delft! IVORY stands for "AI for Vision Zero in Road Safety" and it is an industrial doctorates scheme, i.e. a research and...

How to implement justice in AI for road safety?

Host: TUD & RHDHV

Explainable AI for road safety: benchmarking AI methods and data

Host: TUD & AGILYSIS

AI for road safety in LMICs

Host: FPZ & AGILYSIS

Road user profiling using multimodal data of naturalistic driving databases

Host: UH & CARDIO

AI to mitigate driver distraction and drowsiness at different levels of automation

Host: TUD & PSA-LAB

Learning from the whole spectrum of driver behaviour: from unsafe to optimal driving

Host: TUD & RHDHV

Data fusion of traffic, behaviour & infrastructure for holistic driver assistance

Host: NTUA & OSEVEN

Proactive risk mapping and infrastructure safety management

Host: NTUA & iRAP

AI for road safety monitoring and crash prediction from micro- to macro levels

Host: NTUA & OSEVEN

Using AI for the identification, monitoring and utilisation of a personalised self-learning safe route network for home-school trips

Host: UH & ABEONA

AI for proactive safety detection using conflict techniques

Host: UH & CEGEKA

Harmonisation and hybrid application of AI datasets for road safety

Host: FPZ & iRAP

AI-aided BIM-based design for road infrastructure

Host: UH & Cegeka

Road safety prediction on the basis of ethically sound physiological measurements

Host: NTUA & CARDIO

Use of advanced AI Chat models for advising road authorities on Vulnerable Road User safety improvements

Host: FPZ & ABEONA

Partners

Supervisors