A review of the effect of traffic and weather characteristics on road safety

A Theofilatos, G Yannis - Accident Analysis & Prevention, 2014 - Elsevier
Taking into consideration the increasing availability of real-time traffic data and stimulated by
the importance of proactive safety management, this paper attempts to provide a review of …

Road accident rates: strategies and programmes for improving road traffic safety

K Goniewicz, M Goniewicz, W Pawłowski… - European journal of …, 2016 - Springer
Introduction Nowadays, the problem of road accident rates is one of the most important
health and social policy issues concerning the countries in all continents. Each year, nearly …

Diagnostic analysis of the effects of weather condition on pedestrian crash severity

X Zhai, H Huang, NN Sze, Z Song, KK Hon - Accident Analysis & Prevention, 2019 - Elsevier
Pedestrians are vulnerable to severe injury and mortality in road crashes. Numerous studies
have attempted to identify factors contributing to crashes and pedestrian injury risks. As an …

Incorporating real-time traffic and weather data to explore road accident likelihood and severity in urban arterials

A Theofilatos - Journal of safety research, 2017 - Elsevier
Introduction The effective treatment of road accidents and thus the enhancement of road
safety is a major concern to societies due to the losses in human lives and the economic and …

Factors influencing accident severity: an analysis by road accident type

L Eboli, C Forciniti, G Mazzulla - Transportation research procedia, 2020 - Elsevier
Nowadays, road safety is an issue particularly relevant because of the increasing
occurrence of road accidents. For this reason, it is very important to analyze accident …

[HTML][HTML] Machine learning approaches to traffic accident analysis and hotspot prediction

D Santos, J Saias, P Quaresma, VB Nogueira - Computers, 2021 - mdpi.com
Traffic accidents are one of the most important concerns of the world, since they result in
numerous casualties, injuries, and fatalities each year, as well as significant economic …

Bayes classifiers for imbalanced traffic accidents datasets

RO Mujalli, G López, L Garach - Accident Analysis & Prevention, 2016 - Elsevier
Traffic accidents data sets are usually imbalanced, where the number of instances classified
under the killed or severe injuries class (minority) is much lower than those classified under …

Application of classification algorithms for analysis of road safety risk factor dependencies

OH Kwon, W Rhee, Y Yoon - Accident Analysis & Prevention, 2015 - Elsevier
Transportation continues to be an integral part of modern life, and the importance of road
traffic safety cannot be overstated. Consequently, recent road traffic safety studies have …

Interactive risk analysis on crash injury severity at a mountainous freeway with tunnel groups in China

H Huang, Y Peng, J Wang, Q Luo, X Li - Accident Analysis & Prevention, 2018 - Elsevier
Traffic safety of freeways has attracted major concerns, especially for a mountainous
freeway affected by adverse terrain conditions, constrained roadway geometry and …

Analysis of factors affecting the severity of crashes in urban road intersections

L Mussone, M Bassani, P Masci - Accident Analysis & Prevention, 2017 - Elsevier
Road crashes are events which depend on a variety of factors and which exhibit different
magnitudes of outputs when evaluated with respect to the effects on road users. Despite a …