Utilizing UAV video data for in-depth analysis of drivers' crash risk at interchange merging areas
The interchange merging area suffers a high crash risk in the freeway system, which is
greatly related to the intense mandatory merging maneuvers. Ignoring such correlation may …
greatly related to the intense mandatory merging maneuvers. Ignoring such correlation may …
Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with …
In Thailand in 2016, more than 70% of all deaths due to road accidents were motorcyclist
deaths. This study uses a correlated random parameters ordered probit model with …
deaths. This study uses a correlated random parameters ordered probit model with …
Exploring temporal instability effects on bicyclist injury severities determinants for intersection and non-intersection-related crashes
Cycling is a sustainable and healthy mode of transportation with direct links to reducing
traffic congestion, lowering greenhouse gas emissions, and improving air quality. However …
traffic congestion, lowering greenhouse gas emissions, and improving air quality. However …
Modeling crash spatial heterogeneity: Random parameter versus geographically weighting
The widely adopted techniques for regional crash modeling include the negative binomial
model (NB) and Bayesian negative binomial model with conditional autoregressive prior …
model (NB) and Bayesian negative binomial model with conditional autoregressive prior …
A correlated random parameters with heterogeneity in means approach of deer-vehicle collisions and resulting injury-severities
This paper investigates deer-vehicle collisions and their resulting injury-severities in a
threefold approach. Two random parameters binary logit models with heterogeneity in …
threefold approach. Two random parameters binary logit models with heterogeneity in …
Analyzing crash injury severity for a mountainous freeway incorporating real-time traffic and weather data
R Yu, M Abdel-Aty - Safety science, 2014 - Elsevier
This study focuses on developing crash injury severity analysis models for a mountainous
freeway section. In addition to the data obtained from crash reports, real-time traffic and …
freeway section. In addition to the data obtained from crash reports, real-time traffic and …
A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes
Rear-end crash is one of the most common types of traffic crashes in the US A good
understanding of its characteristics and contributing factors is of practical importance …
understanding of its characteristics and contributing factors is of practical importance …
A random thresholds random parameters hierarchical ordered probit analysis of highway accident injury-severities
G Fountas, PC Anastasopoulos - Analytic methods in accident research, 2017 - Elsevier
This study uses highway accident data collected in the State of Washington, between 2011
and 2013, to study the factors that affect accident injury-severities. To account for the fixed …
and 2013, to study the factors that affect accident injury-severities. To account for the fixed …
The joint effect of weather and lighting conditions on injury severities of single-vehicle accidents
This study seeks to identify and analyze variations in the effect of contributing factors on
injury severities of single-vehicle accidents across various lighting and weather conditions …
injury severities of single-vehicle accidents across various lighting and weather conditions …
Association rule analysis of factors contributing to extraordinarily severe traffic crashes in China
Introduction This study aimed to investigate the contributing factors to serious casualty traffic
crashes and their interdependency in China. Serious casualty crashes are defined as …
crashes and their interdependency in China. Serious casualty crashes are defined as …