The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis
Due to the burgeoning demand for freight movement, freight related road safety threats have
been growing substantially. In spite of some research on the factors influencing freight truck …
been growing substantially. In spite of some research on the factors influencing freight truck …
Mapping the knowledge domain of road safety studies: A scientometric analysis
X Zou, HL Vu - Accident Analysis & Prevention, 2019 - Elsevier
As a way of obtaining a visual expression of knowledge, mapping knowledge domain (MKD)
provides a vision-based analytic approach to scientometric analysis which can be used to …
provides a vision-based analytic approach to scientometric analysis which can be used to …
Impact of traffic and road infrastructural design variables on road user safety–a systematic literature review
A Choudhary, RD Garg, SS Jain… - International Journal of …, 2024 - Taylor & Francis
Road transportation is more favoured as it is less expensive and relatively faster than other
modes of transportation. A higher probability of getting involved in crashes reveals its …
modes of transportation. A higher probability of getting involved in crashes reveals its …
Discovering injury severity risk factors in automobile crashes: a hybrid explainable AI framework for decision support
Millions of car crashes occur annually in the US, leaving tens of thousands of deaths and
many more severe injuries. Thus, understanding the most impactful contributors to severe …
many more severe injuries. Thus, understanding the most impactful contributors to severe …
Goods movement, road safety, and spatial inequity: Evaluating freight-related crashes in low-income or minority neighborhoods
The significant growth in freight traffic and relevant crashes has aroused increasing
concerns about road safety threats in local communities. We use data from the Minneapolis …
concerns about road safety threats in local communities. We use data from the Minneapolis …
Geographical detection of traffic accidents spatial stratified heterogeneity and influence factors
Y Zhang, H Lu, W Qu - … journal of environmental research and public …, 2020 - mdpi.com
The purpose of this paper is to investigate the existence of stratification heterogeneity in
traffic accidents in Shenzhen, what factors influence the casualties, and the interaction of …
traffic accidents in Shenzhen, what factors influence the casualties, and the interaction of …
Discovering insightful rules among truck crash characteristics using apriori algorithm
J Hong, R Tamakloe, D Park - Journal of advanced …, 2020 - Wiley Online Library
This study aims to discover hidden patterns and potential relationships in risk factors in
freight truck crash data. Existing studies mainly used parametric models to analyze the …
freight truck crash data. Existing studies mainly used parametric models to analyze the …
Road investment and traffic safety: An international study
The aim of this study is to analyse whether the economic resources invested in roads—both
investment in construction and expenditure on maintenance and conservation—have any …
investment in construction and expenditure on maintenance and conservation—have any …
The effect of long term non-invasive pavement deterioration on accident injury-severity rates: A seemingly unrelated and multivariate equations approach
MT Sarwar, PC Anastasopoulos - Analytic methods in accident research, 2017 - Elsevier
This paper seeks to measure the effect of long term non-invasive pavement deterioration on
accident injury-severity rates, and demonstrate the potential of considering safety as one of …
accident injury-severity rates, and demonstrate the potential of considering safety as one of …
Crash frequency modeling using real-time environmental and traffic data and unbalanced panel data models
Traffic and environmental conditions (eg, weather conditions), which frequently change with
time, have a significant impact on crash occurrence. Traditional crash frequency models with …
time, have a significant impact on crash occurrence. Traditional crash frequency models with …