Barcelona (Spain) had a total population of 1,636,762 in 2019 that are distributed on 10 districts across the city. These districts have different characteristics in size and population density. As a result, this can lead to different traffic crashes injuries occurrences and numbers in these areas. Therefore, this study is attempting to determine the conditional probabilities for each district in order to identify the district that has highest number of injuries compared to other areas. A Bayesian network approach is utilized to analyze the dataset and identify the high-risk district alongside analyzing the varieties of traffic crashes during four-year intervals. The results have shown that the district that has the highest population, high...
[EN] Traffic accidents data sets are usually imbalanced, where the number of instances classified un...
One of the principal objectives of traffic accident analyses is to identify key factors that affect ...
This article describes the data collection used to analyse the risk of fatalities and injuries resul...
Traffic accidents are still wide causation for fatalities around the globe. The set of alarm for thi...
Several different factors contribute to injury severity in traffic accidents, such as driver charact...
The study of road traffic accidents and the adoption of measures to reduce them is one of the most i...
Road traffic accidents are currently between the seventh and tenth leading cause of death in the wor...
The aim of the study presented here is to divide a crash database into homogeneous clusters by using...
Introduction: This study describes a method for reducing the number of variables frequently consider...
This study analyses factors associated with cyclist injury severity, focusing on vehicle type, route...
This study analyses factors associated with cyclist injury severity, focusing on vehicle type, rout...
ABSTRACT: Road traffic accidents are currently between the seventh and tenth leading cause of death ...
Road traffic injuries are now regarded as the eighth leading cause of death globally. For example, i...
Traffic fatalities and injuries on urban roads especially at urban intersections constitute a growin...
To investigate the factors predicting severity of bicycle crashes in Italy, we used an observational...
[EN] Traffic accidents data sets are usually imbalanced, where the number of instances classified un...
One of the principal objectives of traffic accident analyses is to identify key factors that affect ...
This article describes the data collection used to analyse the risk of fatalities and injuries resul...
Traffic accidents are still wide causation for fatalities around the globe. The set of alarm for thi...
Several different factors contribute to injury severity in traffic accidents, such as driver charact...
The study of road traffic accidents and the adoption of measures to reduce them is one of the most i...
Road traffic accidents are currently between the seventh and tenth leading cause of death in the wor...
The aim of the study presented here is to divide a crash database into homogeneous clusters by using...
Introduction: This study describes a method for reducing the number of variables frequently consider...
This study analyses factors associated with cyclist injury severity, focusing on vehicle type, route...
This study analyses factors associated with cyclist injury severity, focusing on vehicle type, rout...
ABSTRACT: Road traffic accidents are currently between the seventh and tenth leading cause of death ...
Road traffic injuries are now regarded as the eighth leading cause of death globally. For example, i...
Traffic fatalities and injuries on urban roads especially at urban intersections constitute a growin...
To investigate the factors predicting severity of bicycle crashes in Italy, we used an observational...
[EN] Traffic accidents data sets are usually imbalanced, where the number of instances classified un...
One of the principal objectives of traffic accident analyses is to identify key factors that affect ...
This article describes the data collection used to analyse the risk of fatalities and injuries resul...