A Paper titled “Improving risky driving behavior classification via conditional GAN-augmented hybrid machine learning models: a two-country naturalistic driving study" authored by Eleni Maria Theodoraki, Paraskevi Koliou and George Yannis has been published in European Transport Research Review. This Paper introduces a hybrid machine learning pipeline that combines Conditional Generative Adversarial Networks (cGANs) for creating realistic synthetic [...]

A Paper titled “Network-Level Traffic and Safety Effects of Automated Vehicle Market Penetration Under Take-Over Events: A Microsimulation Study" authored by Marios Sekadakis, Dimitrios Nikolaou and George Yannis has been published in Future Transportation. This Paper investigates the network-level traffic and safety effects of increasing Market Penetration Rate (MPR) of SAE Level 2 and Level 3 automated [...]

A Paper titled “Comprehensive Assessment of Driver Takeover Readiness via a Multimodal Fusion Multi-Task Learning Model" has been published in Advanced Engineering Informatics authored by Hanwen Deng, Shuxiang Lin, Chaojie Fan, Xianhui Wu, Kui Wang, Yong Peng and George Yannis. This Paper constructs a multimodal takeover readiness dataset that incorporates visual, physiological, gaze, and demographic features. [...]

A paper titled “Literature review of legal frameworks and liability allocation in connected and automated vehicles" authored by Julia Roussou, Apostolos Ziakopoulos, Armira Kontaxi and George Yannis has been published in Research in Transportation Business & Management. The objective of this Paper is to provide a comprehensive review of current literature in order to identify critical [...]

A paper titled “Evaluating Risky Driving Behavior Using a Naturalistic Driving Dataset: A Hybrid Modelling Approach" authored by Elena Maria Theodoraki, Thodoris Garefalakis, Eva Michelaraki and George Yannis has been published in Infrastructures. This Paper develops and evaluates three hybrid machine learning models: (i) Deep Neural Network–Random Forest (DNN-RF), (ii) Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM), and [...]

A paper titled "Implementation of an integrated model for understanding the impact of task complexity and coping capacity on crash risk" authored by Eva Michelaraki and George Yannis has been published in Accident Analysis & Prevention. This Study aims to identify the interaction of road, vehicle and driver-related factors to the estimation of task complexity, coping capacity and [...]

The NTUA Road Safety Observatory (NRSO) has launched its new Road Safety Data Warehouse with highly interactive dashboards, now available and open to all to explore. Thirty interactive dashboards bring together road crash statistics, risk exposure, safety performance indicators, self-reported behaviour and other contextual data, in a comprehensive way for Greece, the European Union and Worldwide. [...]

The Horizon Europe research project IMPROVA has recently released its 4th Newsletter, focusing on enhancing road safety by addressing the complexities of long-term consequences (LTC) caused by road traffic crashes. This version of the Newsletter mainly focuses on the three IMPROVA papers published in Traffic Injury Prevention, as well as the Project's presence on the [...]

The International Road Federation (IRF) released the 63rd edition of the IRF World Road Statistics 2026 (WRS2026), with data open to all for free through the IRF WRS Data Warehouse platform, thanks to the generous support of the TotalEnergies Foundation and Michelin Corporate Foundation. The IRF WRS 2026 continues to be the major comprehensive, universal [...]

The United Nations and the World Health Organization (WHO) organized with great success a two-day High-Level Meeting on Improving Global Road Safety which was held in New York, on 20-21 July 2026, under the theme "Scaling up and accelerating implementation of commitments to halving road traffic deaths and injuries by 2030". In this context, the 104th UN General Assembly has adopted the "Progress Declaration [...]