The European Transport Safety Council (ETSC) has published the 48th PIN Flash Report titled “Reducing Serious Injuries on European Roads“. This Report examines the underreporting of serious injuries in European roads. According to official sources, approximately 1,291,000 people are reported injured annually in the European Union, with 141,000 of these injuries being serious. While most serious injuries are suffered as a result of collisions involving motor vehicles and are much more likely to be reported by police, many involving pedestrians and cyclists where no motor vehicle was involved go unreported. The current performance in the European Union is not on track for reaching the target to reduce serious road traffic injuries by 50% between 2020 and 2030 and further action targeting serious injuries reduction is needed.  

The European Commission with the active contribution of NTUA, SWOV and KFV has published at the European Road Safety Observatory, the Annual Statistical Report on Road Safety, April 2025 in the EU, which provides an overview of crash data for 2013 to 2023 from 27 EU Member States and the four EFTA countries. According to this Report, 53% of road traffic fatalities occurred on rural roads, versus 38% in urban areas and 9% on motorways. It was also revealed that car occupants (drivers and passengers) represented 44% of all fatalities, while pedestrians accounted for 18%, users of powered two-wheelers (motorbikes and mopeds) 17%, and cyclists 10%.  

A paper titled Identifying driving profiles after take over request in automated vehicles at SAE levels 2 and 3 authored by Marios Sekadakis, Sandra Trösterer, Peter Moertl and George Yannis has been published in Transportation Research Part F: Traffic Psychology and Behaviour. The analysis included clustering to develop distinct driving profiles based on key measurements collected through a driving simulator experiment, such as acceleration, deceleration, and speed, offering a deep understanding of driver behavior in responses to take over requests. Findings suggest that the nervous driving profile, although less frequent, poses significant safety implications due to higher deceleration rates and variability in speed and deceleration. The study also highlights that non-driving related tasks increase the need for longer take over time with greater variability observed at higher automation levels. These insights can inform the design of more adaptive HMI systems, enhance real-time feedback mechanisms, and improve driver training programs to ensure safer transitions during take over requests. 

A paper titled Evaluating the Environmental and Safety Impacts of Eco-Driving in Urban and Highway Environments authored by Marios Sekadakis, Maria Ioanna Sousouni, Thodoris Garefalakis, Maria Oikonomou, Apostolos Ziakopoulos and George Yannis has been published in Sustainability. Within a group of 39 participants aged 18–30, multiple driving scenarios were conducted, both without and with eco-driving guides, to assess the impact of eco-driving behavior on environmental sustainability and safety outcomes. Data on pollutant emissions, as well as crash probability were utilized using linear regression models, while binary logistic regression models were employed to assess crash probability. The analysis revealed thateco-driving led to a significant reduction in pollutant emissions, with CO₂ emissions decreasing by 1.42%, CO by 98.2%, and NO_x by 20.7% across both urban and highway environments, with a more substantial impact in urban settings due to lower average speeds and smoother driving patterns. These findings support the integration of eco-driving techniques into transportation policies and driver education programs to foster sustainable and safer driving practices. 

A paper titled Examining the effects of texting, web surfing, and navigating apps on urban driving behavior and crash risk authored by Maria Oikonomou, Foteini Orfanou, Marios Sekadakis, Dimosthenis Pavlou and George Yannis has been published in Traffic Safety Research. This study collects driving data from 36 young adult drivers through a driving simulator experiment, supplemented by a survey to gather participant characteristics and driving profiles. Data analysis utilized linear and binary logistic mixed models to explore the effects of texting and web surfing on speed and its deviation, headway distance and its deviation, and crash risk. Results indicate that using texting, web surfing and navigating applications while driving elevate crash risk by 10% and decrease speed, speed deviation, headway, and headway deviation by 9%, 23%, 6%, and 18%, respectively. These findings underscore the crucial role of specific smartphone applications in shaping driving behavior and emphasize the need for targeted interventions to mitigate the associated risks in urban driving scenarios. 

A NTUA Diploma Thesis titled “The impact of alcohol consumption on driving in rural roads using a driving simulator” was recently presented by Giorgos Papadakis. For this purpose, a driving simulation experiment was conducted with 35 drivers of different characteristics, who were required to drive under varying blood alcohol concentration levels. Additionally, data were collected through questionnaires, including demographic characteristics, driving habits, and perceptions regarding alcohol-impaired driving. Data analysis was performed using statistical and mathematical models, such as linear regression and binary logistic regression, revealing that increased BAC leads to a longer reaction time, higher accident probability, and reduced ability to maintain a safe distance from the preceding vehicle. The results confirm the significant impact of alcohol consumption on driving safety and emphasize the necessity of additional preventive measures.  

A NTUA Diploma Thesis titled “Predicting driver behaviour in a cross-country naturalistic driving study using machine learning techniques” was recently presented by Giannis Roukos. For this reason, valuable data on driver behavior were collected through a driving experiment conducted under real-world conditions in Belgium and the United Kingdom. In the initial analysis, the importance of the variables was calculated using the “Random Forest” algorithm, based on which nine input variables were selected for further analysis. Findings suggest that the average speed of the vehicle was identified was the most significant variable, while sudden driving events, including both harsh acceleration and harsh braking, were found to significantly influence the classification of driving behavior as dangerous.  

A NTUA Diploma Thesis titled “Cost-benefit analysis of reducing speed limits on Greek highways” was recently presented by Michalis Nikolaou. For this reason, participants evaluated choices based on travel time, fuel consumption, and accident risk. Three scenarios were analyzed: (I) reducing the speed limit from 130 to 120 km/h, (II) reducing it to 110 km/h, and (III) no change, using binary and multinomial logistic regression models. To assess economic viability, a Cost-Benefit Analysis (CBA) was conducted for the period 2023-2033. This study provides valuable insights for policymakers and stakeholders, offering an in-depth understanding of public perception and acceptance of lower speed limits, which is crucial for developing effective and widely accepted road safety interventions in Greece.  

According to the European Commission preliminary statistics, fewer people died on European roads in 2024, a slight 3% drop compared to 2023,  which is the equivalent to 600 fewer lives lost. In 2024, around 19,800 people were killed in road crashes in the EU. Over the past five years, Greece, Spain, France, and Italy have seen only modest declines in road deaths; in contrast, Bulgaria, Denmark, Lithuania, Poland, and Slovenia are making strong progress toward the 50% reduction target. Even if road fatalities decreased more significantly in 2024 than they did in 2023, the overall pace of improvement remains too slow, and most Member States are not on track to meet the EU’s goal of halving road deaths by 2030. 

A paper titled Using computer vision and street-level videos for pedestrian-vehicle tracking and behaviour analysis, authored by Roberto Ventura, Stella Roussou, Apostolos Ziakopoulos, Benedetto Barabino and George Yannis has been published in Transportation Research Interdisciplinary Perspectives. Using advanced computer vision object detection and feature extraction models, this framework integrates Kalman filtering, homography transformations, and object re-identification to achieve high accuracy. This study utilizes data from roadside video recordings from Athens, Greece. The findings show accuracy rates of 50%-70% in detecting traffic light statuses and identified a 23% discrepancy on average between manual and automated counts of illegal crossings. This paper underscores the potential of computer vision detection systems to provide reliable, real-time data that takes the road network conditions into account, ultimately contributing to safer urban traffic management and informed policy decisions. 

The European Road Safety Charter of the European Commission, has recently published a new Article, exploiting the latest statistics from across Europe for helmet use and seatbelt/child restraint systems, two of the most widespread safety equipment. Through this article, the Chapter increases the attention over the coming months to the use of safety equipment, hoping to achieve the EU’s objective of halving the number of road deaths by 2030. The data suggests that when cycling, helmet use reduces the risk of serious head injury by 60% and fatal head injury by 71%, also according to the WHO, wearing a quality motorbike helmet reduces the risk of death by over six times and the risk of brain injury by up to 74%. Wearing a seatbelt reduces the risk of death and injury by around 60% for drivers and 44% for rear-seat passengers. Correct use of a child restraint system reduces the risk of being killed or injured by around 55% to 60% compared with children who are not buckled up. 

UNRSF at the 4th Global Ministerial Conference on Road Safety, which was held at Morocco, Marrakesh on 18-20 February,  reaffirmed their commitment to making roads safer. This event mobilised critical funding to support life-saving road safety initiatives in over 125 low and middle income countries facing the highest road crash fatalities. In line with its mission to drive systemic changes in road safety, the UNRSF announced eight new projects, tackling key road safety challenges, from strengthening motorcycle safety laws and sustainable financing to improving enforcement and protecting vulnerable road users. 

The International Transport Forum (ITF) has recently published its new Safe System Tool, with the active contribution of NTUA, which offers a user-friendly interface to navigate through the International Transport Forum’s framework for implementing a Safe System. The Tool helps road safety stakeholders to evaluate how their strategies, projects or plans contribute to a Safe System, since it visualises opportunities for improvement and helps to identify effective interventions to save lives. 

Armira Kontaxi has successfully defended her PhD dissertation titled: The Driver Behavior Telematics Feedback Mechanism, under the supervision of NTUA Prof. George Yannis. Data from a 21-month naturalistic driving experiment involving 230 drivers across six feedback phases generated a robust dataset of 106,776 trips, covering 1.3 million kilometers. Advanced statistical and machine learning models, including Generalized Linear Mixed-Effects Models (GLMMs), Structural Equation Models (SEMs), and Survival Analysis methods (e.g., Weibull AFT, Cox-PH with frailty, and Random Survival Forests), were utilized to analyze behavioral metrics such as speeding, mobile phone use, harsh braking, and accelerations which demonstrated substantial impacts on reducing risky behaviors. Key findings suggest that the overall impact of feedback significantly improved driving behavior and safety, with notable variations across user groups and driving contexts. Urban environments demonstrated the most substantial reductions in mobile phone use and harsh events, likely driven by the heightened complexity and demands of navigating urban settings. These findings highlight the need for continuous and adaptive engagement strategies, incorporating diverse features tailored to the specific needs of different user groups and driving contexts, to ensure long-term effectiveness and sustained safety improvements.  

The Global Alliance of NGOs for Road Safety recently launched their mobility snapshot tool, an interactive map which shows the realities of how unsafe the streets are as well as the solutions that can make the communities more livable and sustainable, enabling access to education and work. Data are collected at specific intersections in local communities from 118 Mobility Snapshots in 44 countries at intersections across Africa, Asia, Australasia, Europe, and North and South America. Key findings show that more than 156,000 pedestrians use these 118 intersections during peak hour, yet 102 of them lacked traffic calming measures or a speed limit of 30 km/h or lower.  

The Global Alliance of NGOs for Road Safety recently published a White Paper based on global best practices, in consultation with Alliance member NGOs, ensuring safe motorcycle helmets through appropriate laws, enforcement, and promotion. Through this White Paper, the Global Alliance of NGOs for Road Safety and its over 395 member NGOs from more than 100 countries, will assist Governments achieve the reduction of road fatalities and injuries needed to accomplish the vision of having zero road deaths and injuries by 2030.  

The European Commission with the active contribution of  NTUA,  SWOV and KFV  launched a safe mobility promotion activity focusing on vulnerable road users, providing in-depth analysis of road safety for cyclists, pedestrians, powered two-wheelers, and users of personal mobility devices. According to the new Reports from the European Road Safety Observatory, one key finding shows that infrastructure improvements, such as segregated bike lanes, significantly reduce the risk of serious accidents for cyclists. As for pedestrians, older individuals are disproportionately represented in fatality statistics. Powered Two-Wheelers face a significantly higher risk of dying on European roads compared to other motor vehicle users. The PMD report reveals a sharp rise in incidents involving e-scooters, particularly in cities and highlights the need to address aspects relating to the vehicle, infrastructure and rider behaviour to address this emerging challenge.     

The Horizon Europe research project metaCCAZE has recently released a new Blog Post authored by Evi Koliou on AI and Smart Cities. As stated, AI-driven solutions can transform urban environments, since smart traffic control systems are no longer a futuristic concept but a present reality. These AI-driven systems optimise traffic flow, reduce congestion, and cut down emissions. By leveraging connected vehicle data and digital twins—technology that simulates real-world scenarios—we can develop road safety strategies that save lives. 

Comune di Bologna has recently published a Report on the first year of implementing the 30 km/h speed limit in the city, which has the main objective of the improvement of road safety and the increase of sustainable mobility. This Report showed that for the first time since 1991, no pedestrians were killed, and road deaths were reduced by 50%. Also, crashes were reduced by 13% and urban traffic pollution by 30%. Finally, the report indicated that there has been a significant increase in bicycle flows by 10%, as well as the use of car and bike sharing services.    

Fruitful discussions with NTUA Professor George Yannis, Deputy Mayor for Ecological Transition, Ana Lisa Boni and Deputy Mayor for Sports, Luca Bellinato took recently place, demonstrating the need to intensify efforts for lower speeds and safer roads everywhere and for all.

A paper titled Understanding the effects of underreporting on injury severity estimation of single-vehicle motorcycle crashes: A hybrid approach incorporating majority class oversampling and random parameters with heterogeneity-in-means authored by Nawaf Alnawmasi, Apostolos Ziakopoulos, Athanasios Theofilatos and Yasir Ali  has been published in Analytic Methods in Accident Research. This study aims to provide an empirical assessment of the impact of underreporting issue using a hybrid approach in estimating injury severity for single-vehicle motorcycle crashes. Key results suggest that crashes occurring during slowing down or stopping are associated with lower injury severity, whereas negotiating a right turn increases the probability of severe injuries. Interestingly, crashes that occur on dry pavements are associated with higher injury severity when compared to wet pavements, likely due to rider behavior adjustments in adverse weather conditions to compensate for the risk. 

The European Union has recently adopted the new Directive to strengthen cross-border enforcement of road traffic rules. The newly adopted rules tackle several road safety issues by enhancing collaboration among Member States, streamlining offender identification and facilitating fine enforcement. Cooperation between national Authorities will not only focus on the most common and serious offenses like speeding, drunk and drugged driving, but also on several other hazardous behaviours. 

The International Road Traffic and Accident Database (IRTAD) of the International Transport Forum (ITF/OECD) published the Road Safety Annual Report 2024, on the development of road safety in 2023. It is based on data from 40 IRTAD member countries, with some preliminary data also for the year 2024. The main findings revealed that  in 2023, there were 2.338 less fatalities than in 2022, also road deaths decreased by 2% in the first half of 2024 compared to 2023. However, the considerable journey ahead should be acknowledged, in order to achieve the global target of halving road deaths and serious injuries by 2030.  

The 2024 infographic of NTUA Road Safety Observatory (www.nrso.ntua.gr) highlights one more very intensive and highly fruitful year. The nrso scientific team with high dedication, efficiency and expertise continues to grow and excel, being active in 31 innovative research projects, succeeded to publish 55 scientific papers (21 in peer reviewed journals), and travelled around the world in hundreds of meetings to develop and promote road safety science. The 30 Marathons campaign for promoting 30km/h city-wide speed limit was also successfully completed, contributing actively to the culture of calm and safe streets everywhere and for all. 

The European Commission with the active contribution of NTUA, SWOV, VIAS Institute and KFV has published at the European Road Safety Observatory, the Personal Mobility Devices Thematic Report which mainly refers to the safety of electric scooters. This Thematic Report highlights that a high proportion of crashes with a PMD are caused by falls, that can lead to common head injuries and by increasing helmet use would prevent these injuries. Moreover, a series of specific countermeasures are suggested, such as an e-scooters ban from pavements, a lower 30 km/h limit in urban areas and training motor vehicle users to be prepared to interact with PMDs is equally important for micro-mobility safety.  

A paper titled Driving Automation Systems Penetration and Traffic Safety: Implications for Infrastructure Design and Policy authored by Antonia Antonakaki, Maria Oikonomou, Thodoris Garefalakis and George Yannis has been published in Infrastructures. The study aims to evaluate the impact of Autonomous Vehicle (AV) penetration rates on traffic safety, through the use of microscopic simulation scenarios, utilizing multiple linear and multinomial logistic regression models. The findings highlight that higher AV penetration rates generally improve traffic safety, although the coexistence of conventional vehicles and vehicles equipped with driving automation systems introduces traffic heterogeneity, potentially influencing safety outcomes. These results suggest that while AVs have a positive effect on road safety, further analysis is needed to address the complexities introduced by mixed-traffic conditions. 

A paper titled Explainable macroscopic and microscopic influences of COVID-19 on naturalistic driver aggressiveness derived from telematics through SHAP values of SVM and XGBoost algorithms authored by Apostolos Ziakopoulos, Marios Sekadakis, Christos Katrakazas, Marianthi Kallidoni, Eva Michelaraki and George Yannis  has been published in Journal of Safety Research. This study aims to quantify the impacts of the COVID-19 pandemic on driver behavior as expressed by harsh accelerations (HA) measured from over 35,5000 naturalistic driving trips by smartphone telematics data using advanced machine learning algorithms, including SVM and XGBoost, combined with SHAP values. Key findings indicate that high speeding, total trip distance, and trip duration are associated with increased HA counts. Drivers perform more HAs on speeds between 30–50 km/h, while after 50 km/h, the contributions of speed lead to fewer HAs. 

CRC Press has recently published a book written by Peter Sweatman titled “Approaches to Road Safety: Evolution, Challenges, and Emerging Technologies”. It examines the evolution of safety practices, explores the role of emerging technologies such as connected and automated vehicles in achieving safer roads and highlights ongoing challenges in reducing traffic injuries and fatalities, including the strategies of Vision Zero and the safe system. Offering valuable insights, this book will appeal to professionals in the fields of safety, human factors, the automotive industry, traffic control, vehicle standards and regulations, transportation systems and road safety policy. 

A new book titled Using Artificial Intelligence to Solve Transportation Problems edited by Aleksander Sładkowski has been recently published. This book offers a comprehensive exploration of AI and digitalization solutions for diverse transportation challenges. The monograph examines various problems in the transport industry that find their solutions using AI, from fully autonomous vehicles to the use of AI as an assistant in solving logistics problems, using different approaches that exist in different countries, with different levels of economic development or well-being of the population. NTUA actively contributed with the following chapter, co-authored by Apostolos Ziakopoulos and George Yannis:

• Key Artificial Intelligence and Digitalization Solutions Towards Vision Zero in Road Safety

The Horizon Europe research project metaCCAZE has recently released the metaCCAZE 2nd Newsletter, which provides information on the latest outcomes of the EU-funded metaCCAZE project aiming to accelerate the deployment of smart systems that combine electric, automated and connected technologies and infrastructure, enabling zero-emission shared mobility services for both passengers and goods in European cities. Key innovative mobility solutions and the MetaInnovations toolkit implemented in the four Trailblazer Cities: Amsterdam, Munich, Limassol, and Tampere followed by the Trailblazer Cities: Athens, Krakow, Gonzo, Milan, Miskolc, and Paris region preparing to implement and demonstrate more successful innovative use cases. An Open Call for metaCCAZE Observer Citiesis released, inviting additional municipalities to join the initiative.

The Male and Female Road Users Thematic Report of the E-Survey of Road Users’ Safety Attitudes (ESRA) has been published, as prepared by the Université Gustave Eiffel, with the support of  of NTUA. This report explores gender-based differences in self-declared risky behaviors, risk perception, and support for road safety policies across 39 countries. Results indicate that men engage more frequently in risky behaviors compared to women, while women exhibit higher support for road safety policies and greater risk perception. Notably, gender differences are less pronounced among cyclists and motorcyclists compared to car drivers.