Understanding and quantifying the effects of risk factors on crash frequency is of great
importance for developing cost-effective safety countermeasures. In this paper, the effects of …

Statistics affirm that almost half of deaths in traffic accidents were vulnerable road users,
such as pedestrians, cyclists, and motorcyclists. Despite the efforts in technological …

The present study proposes a decision-making model based on different models of driver
behavior, aiming to ensure integration between road safety and crash reduction based on …

While the cost of road traffic fatalities in the US surpasses $240 billion a year, the availability
of high-resolution datasets allows meticulous investigation of the contributing factors to …

Traffic accidents are of worldwide concern, as they are one of the leading causes of death
globally. One policy designed to cope with them is the design and deployment of road safety …

As the global elderly population continues to rise, the risk of severe crashes among elderly
drivers has become a pressing concern. This study presents a comprehensive examination …

In 2015, over 17% of pedestrians were killed during vehicle crashes in Hong Kong while it
raised to 18% from 2017 to 2019 and expected to be 25% in the upcoming decade. In Hong …

This study examined the relationship between the lockdown during the COVID-19 pandemic
and the severity of injuries sustained by drivers involved in run-off-road (ROR) crashes. A …

Injury prediction models enables to improve trauma outcomes for motor vehicle occupants in
accurate decision-making and early transport to appropriate trauma centers. This study aims …

Traffic collision on the highway has become a serious issue because they delay the
sustainable development of society. Highway accidents on I-69 have one of the highest …