Traffic accidents are usually unique events with unpredictable geographical and temporal
dimensions; thus, accident injury severity level (INJ-SL) analysis presents formidable …

With the rising number of cases and deaths from the COVID-19 pandemic, nations and local
governments, including many across the US, imposed travel restrictions on their citizens …

Traffic crashes are outcomes of human activities interacting with the diverse cultural, socio-
economic and geographic contexts, presenting a spatial and temporal nature. This study …

Traffic accidents are rare events with inconsistent spatial and temporal dimensions; thus,
accident injury severity (INJ-S) analysis faces a significant challenge in its classification and …

This paper investigates factors that influence the severity of single-vehicle crashes that
happen on weekdays and weekends. Crash data from 2012 to 2016 for the State of …

Multivariate models are widely employed for crash frequency analysis in traffic safety
literature. In the context of analyzing data for multiple instances (such as years), it becomes …

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 …

Most of the previous studies that investigated the factors increasing the severity of rear-end
collisions were based on analyzing collision reports from multiple years and combining them …

The current study undertakes a unique research effort to quantify the impact of various
exogenous factors on crash severity over time. Specifically, we examine if over time, the …

The paper presents a model system that recognizes the distinct traffic incident duration
profiles based on incident types. Specifically, a copula-based joint framework has been …