A random parameters ordered probit analysis of injury severity in truck involved rear-end collisions

X Shao, X Ma, F Chen, M Song, X Pan… - International journal of …, 2020 - mdpi.com
Social and economic burdens caused by truck-involved rear-end collisions are of great
concern to public health and the environment. However, few efforts focused on identifying …

Review of research on road traffic operation risk prevention and control

Y Ma, J Xu, C Gao, M Mu, GE, C Gu - International journal of …, 2022 - mdpi.com
Road traffic safety can be ensured by preventing and controlling the potential risks in road
traffic operations. The relevant literature was systematically reviewed to identify the research …

Crash severity analysis of vulnerable road users using machine learning

MMR Komol, MM Hasan, M Elhenawy, S Yasmin… - PLoS one, 2021 - journals.plos.org
Road crash fatality is a universal problem of the transportation system. A massive death toll
caused annually due to road crash incidents, and among them, vulnerable road users (VRU) …

Toward safe and personalized autonomous driving: Decision-making and motion control with DPF and CDT techniques

C Huang, C Lv, P Hang, Y Xing - IEEE/ASME Transactions on …, 2021 - ieeexplore.ieee.org
In this article, a novel approach of decision-making and motion control is designed for
realizing safe and personalized driving of autonomous vehicles. A new lane-change …

Injury severity analysis of truck-involved crashes under different weather conditions

M Uddin, N Huynh - Accident Analysis & Prevention, 2020 - Elsevier
This paper investigates truck-involved crashes to determine the statistically significant
factors that contribute to injury severity under different weather conditions. The analysis uses …

Investigation of clusters and injuries in pedestrian crashes using GIS in Changsha, China

L Hu, X Wu, J Huang, Y Peng, W Liu - Safety science, 2020 - Elsevier
Improving the pedestrian traffic environment is important for the sustainable development of
the city. This study goes beyond the traditional analysis of traditional traffic accident police …

Investigating the impacts of real-time weather conditions on freeway crash severity: a Bayesian spatial analysis

Q Zeng, W Hao, J Lee, F Chen - International journal of environmental …, 2020 - mdpi.com
This study presents an empirical investigation of the impacts of real-time weather conditions
on the freeway crash severity. A Bayesian spatial generalized ordered logit model was …

Catastrophic factors involved in road accidents: Underlying causes and descriptive analysis

I Ashraf, S Hur, M Shafiq, Y Park - PLoS one, 2019 - journals.plos.org
South Korea is ranked as 4th among 34 nations of the Organization for Economic
Cooperation and Development with 102 deaths in road accidents per one million …

Predicting and analyzing road traffic injury severity using boosting-based ensemble learning models with SHAPley Additive exPlanations

S Dong, A Khattak, I Ullah, J Zhou… - International journal of …, 2022 - mdpi.com
Road traffic accidents are one of the world's most serious problems, as they result in
numerous fatalities and injuries, as well as economic losses each year. Assessing the …

Analyzing the impact of curve and slope on multi-vehicle truck crash severity on mountainous freeways

H Wen, Z Ma, Z Chen, C Luo - Accident Analysis & Prevention, 2023 - Elsevier
Many studies examine the road characteristics that impact the severity of truck crash
accidents. However, some only analyze the effect of curves or slopes separately, ignoring …