AbstractThe 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 think that one unique Accident Prediction Model (APM) model with a unique set of Crash Modification Factors (CMFs) can actually be developed, valid for all Europe and for all the different type of networks;•the development of a specific APM model and a set of CMFs based on local data is extremely time consuming and expensive and requires data and experience that most road administrations do ...
Reliable predictive accident models (PAMs) are essential to design and maintain safe road networks h...
Reliable predictive accident models (PAMs) are essential to design and maintain safe road networks a...
The proposed objective was to identify the relationship between the features of the exam-ined networ...
AbstractThe PRACT Project (Predicting Road ACcidents – a Transferable methodology across Europe) is ...
AbstractEvaluation of road safety measures appears to be the weakest component of road safety manage...
The Highway Safety Manual (HSM) provides an algorithm, and associated knowledge, for predicting cras...
The "Road Infrastructure Safety Management Evaluation Tools (RISMET)" project targets objective A (D...
Weltweit stehen Verkehrsunfälle nach dem Global Status on Road Safety 2018 der Weltgesundheitsorgani...
In workpackage 2 (WP 2) of RipCord-Iserest two instruments have been researched, both intended to pr...
Abstract Purpose Over the past 10 years, building on road infrastructure data, crash prediction mode...
As one of the highest fatalities causes, traffic accidents and collisions always requires a large am...
This summary of the author’s PhD thesis defended on 20 December 2012 at the Vilnius Gediminas Techni...
The Highway Safety Manual (HSM) provides an algorithm, and associated knowledge, for predicting cras...
In this report a state-of-the-art study is given that contains a review of methodologies on APM's, A...
AbstractNetwork safety ranking (or hotspot identification) is conducted in order to identify hazardo...
Reliable predictive accident models (PAMs) are essential to design and maintain safe road networks h...
Reliable predictive accident models (PAMs) are essential to design and maintain safe road networks a...
The proposed objective was to identify the relationship between the features of the exam-ined networ...
AbstractThe PRACT Project (Predicting Road ACcidents – a Transferable methodology across Europe) is ...
AbstractEvaluation of road safety measures appears to be the weakest component of road safety manage...
The Highway Safety Manual (HSM) provides an algorithm, and associated knowledge, for predicting cras...
The "Road Infrastructure Safety Management Evaluation Tools (RISMET)" project targets objective A (D...
Weltweit stehen Verkehrsunfälle nach dem Global Status on Road Safety 2018 der Weltgesundheitsorgani...
In workpackage 2 (WP 2) of RipCord-Iserest two instruments have been researched, both intended to pr...
Abstract Purpose Over the past 10 years, building on road infrastructure data, crash prediction mode...
As one of the highest fatalities causes, traffic accidents and collisions always requires a large am...
This summary of the author’s PhD thesis defended on 20 December 2012 at the Vilnius Gediminas Techni...
The Highway Safety Manual (HSM) provides an algorithm, and associated knowledge, for predicting cras...
In this report a state-of-the-art study is given that contains a review of methodologies on APM's, A...
AbstractNetwork safety ranking (or hotspot identification) is conducted in order to identify hazardo...
Reliable predictive accident models (PAMs) are essential to design and maintain safe road networks h...
Reliable predictive accident models (PAMs) are essential to design and maintain safe road networks a...
The proposed objective was to identify the relationship between the features of the exam-ined networ...