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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 …
production in coal enterprises. Data mining technology plays an important role in promoting …
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 …
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 …
attracting more and more attention across several disciplines. Notably, the feature study on …
Accidentgpt: Accident analysis and prevention from v2x environmental perception with multi-modal large model
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 …
damage, have long been a focal point of research for many scholars in the field of traffic …
Single-vehicle crash severity outcome prediction and determinant extraction using tree-based and other non-parametric models
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 …
Advanced incremental erasable pattern mining from the time-sensitive data stream
Pattern mining has been actively advanced and studied in order to process data that is
generated in real time, called incremental data. Erasable pattern mining is a concept that …
generated in real time, called incremental data. Erasable pattern mining is a concept that …
Traffic accident severity prediction with ensemble learning methods
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 …
severity. Traffic accident severity is classified into three categories. The data set used in the …
A data-driven rule-based system for China's traffic accident prediction by considering the improvement of safety efficiency
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 …
fatalities in traffic accidents has brought great pressure on traffic safety and social stability …
Unsupervised anomaly detection based method of risk evaluation for road traffic accident
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 …
occurrence of traffic accidents often causes a great impact. In that sense, we propose a …
Traffic accident severity analysis in Barcelona using a binary probit and CHAID tree
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 …
this cause of deaths is still on, since the number of fatalities is still representing an enormous …