Differences of overturned and hit-fixed-object crashes on rural roads accompanied by speeding driving: Accommodating potential temporal shifts
X Yan, J He, G Wu, C Zhang, C Wang, Y Ye - Analytic methods in accident …, 2022 - Elsevier
Overturned crashes are associated with a disproportionate number of severe injuries and
fatalities, while hit-fixed-object crashes are acknowledged as the most frequent single …
fatalities, while hit-fixed-object crashes are acknowledged as the most frequent single …
Motorcyclist injury severity analysis: A comparison of Artificial Neural Networks and random parameter model with heterogeneity in means and variances
In Thailand, the motorcyclist mortality rate is steadily on the rise and remains a serious
concern for highway administrators and burden on both economic and local people. Using …
concern for highway administrators and burden on both economic and local people. Using …
A comprehensive analysis of factors that influence interstate highway crash severity in Alabama
This paper identifies factors that influence the severity of interstate crash outcomes and how
they vary depending on the location and manner of collision. Four separate injury severity …
they vary depending on the location and manner of collision. Four separate injury severity …
An empirical analysis of factors contributing to roadway infrastructure damage from expressway accidents: A Bayesian random parameters Tobit approach
Q Zeng, Q Wang, X Wang - Accident Analysis & Prevention, 2022 - Elsevier
This paper presents an empirical analysis of factors contributing to roadway infrastructure
damage from expressway accidents, using a Bayesian random parameters Tobit model. The …
damage from expressway accidents, using a Bayesian random parameters Tobit model. The …
Analysis of driver-injury severity: a comparison between speeding and non-speeding driving crash accounting for temporal and unobserved effects
This paper aims to investigate the differences between temporal stability of factors
influencing driver-injury severities in crashes involving speeding and non-speeding driving …
influencing driver-injury severities in crashes involving speeding and non-speeding driving …
IRI estimation based on pavement distress type, density, and severity: Efficacy of machine learning and statistical techniques
Abstract The International Roughness Index (IRI) is widely used in evaluating pavement
condition, making repair decisions, assessing ride comfort, and estimating vehicle operating …
condition, making repair decisions, assessing ride comfort, and estimating vehicle operating …
Presentation of machine learning methods to determine the most important factors affecting road traffic accidents on rural roads
The purpose of this research was to develop statistical and intelligent models for predicting
the severity of road traffic accidents (RTAs) on rural roads. Multiple Logistic Regression …
the severity of road traffic accidents (RTAs) on rural roads. Multiple Logistic Regression …
Exploring implicit relationships between pavement surface friction and vehicle crash severity using interpretable extreme gradient boosting method
Pavement friction has been identified as crucial in traffic safety. Since the Highway Safety
Manual prediction algorithm is often based on crash frequency, the crash severity …
Manual prediction algorithm is often based on crash frequency, the crash severity …
Statistical safety performance models considering pavement and roadway characteristics
Transportation agencies build statistical models and predict the average crash frequency to
identify hazardous road sections and make informed decisions to reduce crashes. In this …
identify hazardous road sections and make informed decisions to reduce crashes. In this …
Attention-based BiLSTM model for pavement temperature prediction of asphalt pavement in winter
S Bai, W Yang, M Zhang, D Liu, W Li, L Zhou - Atmosphere, 2022 - mdpi.com
Pavement temperature is the main factor determining road icing, and accurate and timely
pavement temperature prediction is of significant importance to regional traffic safety …
pavement temperature prediction is of significant importance to regional traffic safety …