Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP
Understanding and quantifying the effects of risk factors on crash frequency is of great
importance for developing cost-effective safety countermeasures. In this paper, the effects of …
importance for developing cost-effective safety countermeasures. In this paper, the effects of …
Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning
While driver distraction remains an issue in modernized societies, technological
advancements in data collection, storage and analysis provide the means for deeper …
advancements in data collection, storage and analysis provide the means for deeper …
Applying an interpretable machine learning framework to study mobility inequity in the recovery phase of COVID-19 pandemic
The COVID-19 pandemic is a public health crisis that also fuels the pervasive social inequity
in the United States. Existing studies have extensively analyzed the inequity issues on …
in the United States. Existing studies have extensively analyzed the inequity issues on …
Investigating the impact of environmental and temporal features on mobile phone distracted driving behavior using phone use data
Mobile phone distracted driving (MPDD) is one of the most significant and common factors in
distraction-affected crashes. In previous studies, MPDD has been described as a self …
distraction-affected crashes. In previous studies, MPDD has been described as a self …
Modelling the response times of mobile phone distracted young drivers: A hybrid approach of decision tree and random parameters duration model
Research has shown the detrimental effects of using mobile phones whilst driving, which are
more prominent and concerning for young drivers, who are often less experienced and …
more prominent and concerning for young drivers, who are often less experienced and …
Temporal analysis of cellphone-use-involved crash injury severities: calling for preventing cellphone-use-involved distracted driving
P Wu, L Song, X Meng - Accident Analysis & Prevention, 2022 - Elsevier
With the popularity of smartphones and the increasing dependence on cellphones,
cellphone-use-involved distracted driving has become a global traffic safety concern …
cellphone-use-involved distracted driving has become a global traffic safety concern …
Short duration crash prediction for rural two-lane roadways: applying explainable artificial intelligence
Conventional traffic crash analysis methods often use highly aggregated data, making it
difficult to understand the effects of time-varying factors on crash occurrence. In this study …
difficult to understand the effects of time-varying factors on crash occurrence. In this study …
Bridge deck deterioration: Reasons and patterns
The deck condition of bridges is one of the most important factors impacting the connectivity
and efficiency of transportation networks. Bridges with quickly deteriorating deck conditions …
and efficiency of transportation networks. Bridges with quickly deteriorating deck conditions …
Scalable inverse uncertainty quantification by hierarchical bayesian modeling and variational inference
Inverse Uncertainty Quantification (IUQ) has gained increasing attention in the field of
nuclear engineering, especially nuclear thermal-hydraulics (TH), where it serves as an …
nuclear engineering, especially nuclear thermal-hydraulics (TH), where it serves as an …
Exploring factors associated with crossing assertiveness of pedestrians at unsignalized intersections
A pedestrian's assertiveness when crossing an intersection measures his or her willingness
to cross under given conditions, and this level of assertiveness affects pedestrian crossing …
to cross under given conditions, and this level of assertiveness affects pedestrian crossing …