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 …

Abstract Surrogate Safety Measures (SSMs) are widely used to assess potential crash risk
proactively. Notably, most of the existing safety indicators are fundamentally designed to …

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

As mobile device location data become increasingly available, new analyses are revealing
the significant changes of mobility pattern when an unplanned event happened. With …

In this article, a novel approach of decision-making and motion control is designed for
realizing safe and personalized driving of autonomous vehicles. A new lane-change …

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 …

This study attempts to examine the main and interaction effects of roadway and weather
conditions on crash incidence, using the comprehensive crash, traffic and weather data from …

In accident injury-severity analysis, an inherent limitation of the traditional ordered probit
approach arises from the a priori consideration of a homogeneous source for the accidents …

Traditional accident analysis typically explores non-time-varying (stationary) factors that
affect accident occurrence on roadway segments. However, the impact of time-varying …

This study presents an empirical investigation of the impacts of real-time weather conditions
on the freeway crash severity. A Bayesian spatial generalized ordered logit model was …