The ownership of motorised two wheelers (MTWs) has been on the rise across various
countries across the globe. The growth has been especially higher in developing countries …

This study explores the temporal instability of factors affecting motorcyclist-injury severities in
single-vehicle motorcycle crashes in Florida. Two data sources are used; one covers the …

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 …

Automated vehicles (AVs) represent an opportunity to reduce crash frequency by eliminating
driver error, as safety studies reveal human error contributes to the majority of crashes. To …

Automated vehicles are emerging on the transportation networks as manufacturers test their
automated driving system (ADS) capabilities in complex real-world environments in testing …

Generally, freeway tunnels are built to overcome the complex driving environments in
mountainous terrains. However, crashes in these tunnels can be more severe than those on …

Connected and automated vehicles have enabled researchers to use big data for
development of new metrics that can enhance transportation safety. Emergence of such a …

This paper models two strategic decisions made by industrial entities: the intention to adopt
a renewable energy system (RES) and the timeframe for this adoption. The methodology …

Driving errors and violations are identified as contributing factors in most crash events. To
examine the role of human factors and improve crash investigations, a systematic taxonomy …

As a key indicator of unsafe driving, driving volatility characterizes the variations in
microscopic driving decisions. This study characterizes volatility in longitudinal and lateral …