The purpose of this article is to present a structured review of publications utilizing machine
learning methods to aid in engineering risk assessment. A keyword search is performed to …

Abstract The era of Big Data has arrived. Recently, under the environment of intelligent
transportation systems (ITS) and connected/automated vehicles (CAV), Big Data has been …

The existing studies on drivers' injury severity include numerous statistical models that
assess potential factors affecting the level of injury. These models should address specific …

This study develops a Bayesian spatial generalized ordered logit model with conditional
autoregressive priors to examine severity of freeway crashes. Our model can simultaneously …

Real-time safety analysis and optimization using surrogate safety measures such as traffic
conflicts and techniques such extreme value theory (EVT) models is an emerging research …

Geopolitical conflicts and military actions pushed gasoline prices in China into the highest
from March to April 2022 for the first time. We aim to quantitatively understand how the rising …

In order to clearly understand the risky riding behaviors of electric bicycles (e-bikes) and
analyze the riding characteristics, we review the research results of the e-bike risky riding …

With the recent advancements in computer vision and artificial intelligence, traffic conflicts
occurring at an intersection and associated traffic characteristics can be obtained at the …

Over the past few months, the spread of the current COVID-19 epidemic has caused
tremendous damage worldwide, and unstable many countries economically. Detailed …

Crashes present different collision types. There usually exist unobserved risk factors which
could jointly affect crash rates of different types, resulting in correlation and heterogeneity …