- The NTUA Road Safety Observatory
- Driver needs and behaviour in automated traffic – Drive2theFuture
- Societal impacts of connected and automated vehicles – Levitate
- Shared Automation Operating Models for Worldwide Adoption – Show
- Holistic Approach for Driver Role Integration into Automation – Hadrian
- Driver-vehicle-environment interactions and safety tolerance – i-Dreams
- Smart city mapping for safer and eco driver behaviour – SmartMaps
- Smartphone applications for driver safety behaviour support – BeSmart
- Development of the Road Safety Strategic Plan in Greece 2021-2030
- Collection of Road Safety KPIs in Greece – Baseline-G
- EU Methodology for Road Safety KPI Collection – Baseline-I
- Open science in road safety – BeOpen
- A Methodology for Network-wide Road Assessment – NetSafety
- Modelling crash modification factors globally – i-SafeModels
- Road Safety Audit of the Hellinikon Metropolitan Pole
- Monitoring road safety attitudes globally – Esra2
- Investigation of driver distraction effect using big data from smartphones
- Safety behaviour assessment of older drivers in real driving conditions
- Covid-19 impact on mobility and safety
- Model traffic and parking arrangements for the Athens Great Walk
- Electromobility as driver for sustainable mobility and safety – e-Mopoli
- Socio-economic impact of environmental transport charging – EcoCharge
- Safety Innovations in Automation and Connectivity, Prof. Andrew Morris
- How are Emerging Data Enabling Smarter Safety Applications?, Prof. Constantinos Antoniou
- Innovations for Safe Driver Behaviour, Prof. Tom Brijs
- Which Values for Future Safety Technologies, Ass.Prof. Eleonora Papadimitriou
A paper titled “Are driving errors and driving performance correlated? A dual structural equation model” authored by Panagiotis Papantoniou, George Yannis and Eleni Vlachogianni is now published in Advances in Transportation Studies. The objective of this paper is to investigate several factors (including driver distraction, driver characteristics and road environment) that affect overall driving error behaviour and estimates a new unobserved variable which underlines driving errors. This estimation is performed with data obtained from a driving simulation experiment in which 95 participants covering all ages were asked to drive under different types of distraction (no distraction, conversation with passenger, cell phone use) in rural and urban road environment, as well as in both low and high traffic conditions.