Bicyclists are vulnerable road users as they are not protected during a road collision.
Although numerous studies have been conducted to understand the parameters contributing …

In this paper, we generated intelligent self-driving policies that minimize the injury severity in
unexpected traffic signal violation scenarios at an intersection using the deep reinforcement …

Machine learning algorithms aim to improve the power of predictors over conventional
regression models. This study aims to tap the predictive potential of crash mechanism …

To mitigate the crash injury severity of intelligent vehicles when faced with an emergency, it
is critical to build an applicable crash injury severity model. An ensemble model (CSSV …

Transportation safety, as a critical component of an efficient and reliable transportation
system, has been extensively studied with respect to societal economic impacts by …

Sažetak As electric bicycles (e-bikes) are becoming popular in China, concerns have been
raised about their safety conditions. A traffic conflict technique is commonly used in traffic …

Proactive evaluation of road safety is one of the most important objectives of transportation
engineers. While current practice typically relies on crash-based analysis after the fact to …

Accidents between a passenger vehicle and a heavy weight vehicle (HWV) stand out as one
of the most dangerous ones. These often result in fatal injuries or the death of the …

Proactive evaluation of road safety is one of the most important objectives of transportation
engineers. While current practice typically relies on crash-based analysis after the fact to …

Population growth, increased travel demand and, consequently, increased motor vehicle
use has led to concerns about road safety in today's society. In transportation engineering …