The prevalence of road traffic collisions is a pressing issue both worldwide and within the
United States. The consequences of these incidents are severe, resulting in loss of life …

In this paper, we propose a two-lane cellular automata model that explains the relationship
between traffic-related parameters and likelihood of accidents P ac at a signalized …

Crash hot spot identification and prediction using spatial statistics and random forest
methods on the interstate of Michigan are evaluated. The Getis-Ord statistics are adopted to …

The current reactive road safety assessment cannot assess real-time crash risk at signalized
intersections, and as such, the real-time risk mitigation strategies could not be developed …

Introduction The global motorcycle market has grown significantly, with over 770 million
vehicles estimated to be in use worldwide. Motorcycle-related road traffic deaths in low and …

Identifying the locations of pedestrian crashes in cities contributes to the full implementation
of sustainable transportation for all road users. This study examines the pedestrian crash …

One of the primary objectives of transportation engineering is to increase the safety of road
infrastructure. This study seeks to determine the relationship between geometric design …

Background Aspects of community severance (the separation of people from goods,
services, and each other by busy roads or other transport infrastructure) have been linked to …

This study aims to investigate the different behaviors with respect to safety measures related
to the interaction of e-scooters and bikes with cars in mixed traffic. E-scooters are relatively …

Crashes involving vulnerable road users (VRUs) are types of traffic accidents which take up
a large proportion and cause lots of casualties. With methods of statistics and accident …