Anastasios Dragomanovits

National Technical University of Athens | NTUA · Department of Transportation Planning

Motorways are typically the safest road environment in terms of injury crashes per million vehicle kilometres; however, given the high severity of crashes occurring therein, there is still space for road safety improvements. The objective of this study is to compare the classification performance of five machine learning techniques for predictions...

High quality data on road crashes, road design characteristics, and traffic are typically required to predict crash frequency. Surrogate Safety Measures (SSMs) are an alternative category of indicators that can be used in road safety analyses in order to quantify various unsafe traffic events. The objective of this research is to exploit road geome...

Consistent decision-making requires a structured and systematic evaluation of advantages and disadvantages of different choice possibilities. For transport projects, policies or policy measures, and transport options evaluation, various multi-criteria methods have been developed and effectively applied to complement conventional cost effectiveness...

This paper presents a comprehensive literature review on road traffic accident prediction models (APMs) and crash modification factors (CMFs). The focus is on motorways and higher ranked rural roads and the study was performed within a European road authorities' research project. The priorities for the review were determined by a questionnaire surv...

Evaluation of road safety measures appears to be the weakest component of road safety management systems in Europe. To improve Road Infrastructure Safety Management, road authorities, road designers and road safety practitioners need prediction tools, commonly known as Accident Prediction Models (APMs), allowing them to analyze the potential safety...

The PRACT Project (Predicting Road ACcidents – a Transferable methodology across Europe) is an ongoing project aimed at developing a European accident prediction model structure that could, with proper calibration, be applied to different European road networks.

The PRACT Project (Predicting Road ACcidents - a Transferable methodology across Europe) aims to develop a European accident prediction model structure that could be applied to different European road networks with proper calibration. An important part of the PRACT project involves the review of the recent and salient literature on Crash Modificati...

The PRACT Project (Predicting Road ACcidents-a Transferable methodology across Europe) is an ongoing project aimed at developing a European accident prediction model structure that could, with proper calibration, be applied to different European road networks. The core principles behind the PRACT project structure are that:  it is unrealistic to t...

Evaluation of road safety measures appears to be the weakest component of road safety management systems in Europe. To improve Road Infrastructure Safety Management, road authorities, road designers and road safety practitioners need prediction tools, commonly known as Accident Prediction Models (APMs), allowing them to analyze the potential safety...

The paper presents the findings of a research project aiming to quantify and subsequently classify several infrastructure-related road safety measures, based on the international experience attained through extensive and selected literature review and additionally on a full consultation process including questionnaire surveys addressed to experts a...

The objective of this study is to investigate the rate of mobile phone use among car drivers in Greece and its association with driver’s characteristics and other parameters. Data collected through an observation survey were used in a binary logistic regression model which highlighted the explanatory factors of using a mobile phone while driving. P...

Introduction: Wearing a helmet is the single most effective way of reducing head injuries and fatalities resulting from motorcycle crashes. The objective of this research is the analysis of motorcycle helmet wearing in Greece and the identification of the related determinants. Method: Helmet wearing in Greece was recorded through an on-site observa...

The objective of this research is the exploration of seat belt use in Greece and particularly the identification of the parameters affecting seat belt use in Greece. A national field survey was conducted for the analytical recording of seat belt use. A binary logistic regression model was developed, and the impact of each parameter on seat belt use...

Driver visual perception of the road has long been considered a very important issue in human factors research. Confusing or misleading visual cues may result in erroneous driver operation and increase the risk of accident. In previous research work, drivers have been presented with computer animations of horizontal curves superimposed on sag verti...

Driver visual perception of the road has long been considered a very important issue in human factors research. Confusing or misleading visual cues may result in erroneous driver operation and increase the risk of accident. In previous research work, drivers have been presented with computer animations of horizontal curves superimposed on sag verti...