Predicting Freeway Traffic Crash Severity Using XGBoost‐Bayesian Network Model with Consideration of Features Interaction

Y Yang, K Wang, Z Yuan, D Liu - Journal of advanced …, 2022 - Wiley Online Library
In the field of freeway traffic safety research, there is an increasing focus in studies on how to
reduce the frequency and severity of traffic crashes. Although many studies divide factors …

[HTML][HTML] Analysis and visualization of accidents severity based on LightGBM-TPE

K Li, H Xu, X Liu - Chaos, Solitons & Fractals, 2022 - Elsevier
In recent years, road traffic accidents, as a leading cause of accidental deaths, have been
attracting more and more attention across several disciplines. Notably, the feature study on …

Research on coal mine hidden danger analysis and risk early warning technology based on data mining in China

D Miao, Y Lv, K Yu, L Liu, J Jiang - Process Safety and Environmental …, 2023 - Elsevier
The development of intelligence and informatization is the inevitable trend of safety
production in coal enterprises. Data mining technology plays an important role in promoting …

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 …

Unsupervised anomaly detection based method of risk evaluation for road traffic accident

C Zhao, X Chang, T Xie, H Fujita, J Wu - Applied Intelligence, 2023 - Springer
Elevated road plays a very important role as corridors in urban traffic network, and the
occurrence of traffic accidents often causes a great impact. In that sense, we propose a …

Traffic accident severity prediction with ensemble learning methods

S Çeven, A Albayrak - Computers and Electrical Engineering, 2024 - Elsevier
In this study, decision tree-based models are proposed for classification of traffic accident
severity. Traffic accident severity is classified into three categories. The data set used in the …

AccidentGPT: Accident analysis and prevention from V2X environmental perception with multi-modal large model

L Wang, H Jiang, P Cai, D Fu, T Wang, Z Cui… - arXiv preprint arXiv …, 2023 - arxiv.org
Traffic accidents, being a significant contributor to both human casualties and property
damage, have long been a focal point of research for many scholars in the field of traffic …

A data-driven rule-based system for China's traffic accident prediction by considering the improvement of safety efficiency

FF Ye, LH Yang, YM Wang, H Lu - Computers & Industrial Engineering, 2023 - Elsevier
Rapid traffic development brings convenience to social circulation, but the number of
fatalities in traffic accidents has brought great pressure on traffic safety and social stability …

Identifying high crash risk segments in rural roads using ensemble decision tree-based models

M Iranmanesh, S Seyedabrishami, S Moridpour - Scientific reports, 2022 - nature.com
Traffic safety forecast models are mainly used to rank road segments. While existing studies
have primarily focused on identifying segments in urban networks, rural networks have …

Traffic accident severity analysis in Barcelona using a binary probit and CHAID tree

A Aiash, F Robusté - International journal of injury control and …, 2022 - Taylor & Francis
Traffic accidents are still wide causation for fatalities around the globe. The set of alarm for
this cause of deaths is still on, since the number of fatalities is still representing an enormous …