Single-vehicle crash severity outcome prediction and determinant extraction using tree-based and other non-parametric models
X Yan, J He, C Zhang, Z Liu, B Qiao, H Zhang - Accident Analysis & …, 2021 - Elsevier
Single-vehicle crashes are more fatality-concentrated and have posed increasing
challenges in traffic safety, which is of great research necessity. Tremendous previous …
challenges in traffic safety, which is of great research necessity. Tremendous previous …
Spatiotemporal characteristics of elderly population's traffic accidents in Seoul using space-time cube and space-time kernel density estimation
Y Kang, N Cho, S Son - PLoS one, 2018 - journals.plos.org
The purpose of this study is to analyze how the spatiotemporal characteristics of traffic
accidents involving the elderly population in Seoul are changing by time period. We applied …
accidents involving the elderly population in Seoul are changing by time period. We applied …
Data-mining techniques for traffic accident modeling and prediction in the United Arab Emirates
Road traffic accidents are among the leading causes of death and injury worldwide. In Abu
Dhabi, in 2014, 971 traffic accidents were recorded, which contributed to 121 fatalities and …
Dhabi, in 2014, 971 traffic accidents were recorded, which contributed to 121 fatalities and …
Determinants of injury severity for truck crashes on mountain expressways in China: A case-study with a partial proportional odds model
The fast economic growth in China has dramatically increased the number of heavy traffic
and the length of the expressway network, with consequent road safety issues emerging in …
and the length of the expressway network, with consequent road safety issues emerging in …
Classification of truck-involved crash severity: Dealing with missing, imbalanced, and high dimensional safety data
While the cost of road traffic fatalities in the US surpasses $240 billion a year, the availability
of high-resolution datasets allows meticulous investigation of the contributing factors to …
of high-resolution datasets allows meticulous investigation of the contributing factors to …
A copula-based approach for jointly modeling crash severity and number of vehicles involved in express bus crashes on expressways considering temporal stability of …
R Tamakloe, J Hong, D Park - Accident Analysis & Prevention, 2020 - Elsevier
The consequences of crashes, including injury, loss of lives, and damage to properties, are
further worsened when buses plying expressways are involved in the crash. Previous …
further worsened when buses plying expressways are involved in the crash. Previous …
Risk analysis of traffic accidents' severities: An application of three data mining models
Traffic accidents are costing the world more than a million lives yearly alongside monetary
losses, especially in the Gulf Cooperation Council region. This situation raised the need to …
losses, especially in the Gulf Cooperation Council region. This situation raised the need to …
Interactive risk analysis on crash injury severity at a mountainous freeway with tunnel groups in China
Traffic safety of freeways has attracted major concerns, especially for a mountainous
freeway affected by adverse terrain conditions, constrained roadway geometry and …
freeway affected by adverse terrain conditions, constrained roadway geometry and …
Machine learning methods to analyze injury severity of drivers from different age and gender groups
Access to non-biased and accurate models capable of predicting driver injury severity of
collision events is vital for determining what safety measures should be implemented at …
collision events is vital for determining what safety measures should be implemented at …
Crash severity analysis of highways based on multinomial logistic regression model, decision tree techniques, and artificial neural network: a modeling comparison
G Shiran, R Imaninasab, R Khayamim - Sustainability, 2021 - mdpi.com
The classification of vehicular crashes based on their severity is crucial since not all of them
have the same financial and injury values. In addition, avoiding crashes by identifying their …
have the same financial and injury values. In addition, avoiding crashes by identifying their …