Objective: This study reports current status of knowledge and challenges associated with the
emergency vehicle (police car, fire truck, and ambulance) crashes, with respect to the major …

Route familiarity can be an important safety-related variable, which is often neglected. A
review of previous works highlighting the relationships between route familiarity and road …

The purpose of this study is to develop a prediction model that identifies the potential risk of
fatality accidents at construction sites using machine learning based on industrial accident …

Rear-end crashes have become a serious global issue, with increasing injuries and fatalities
accounting for massive property loss. The purpose of this study is to investigate the variation …

This paper aims to investigate the safety impact of connected vehicles and connected
vehicles with the lower level of automation features under vehicle-to-vehicle (V2V) and …

Introduction: The safety of pedestrians is a major concern in Victoria, Australia. Despite the
considerable number of pedestrian fatalities and injuries in traffic crashes, a limited number …

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

This study analysed and modelled the effects of conversation and texting (each with two
difficulty levels) on driving performance of Indian drivers in terms of their mean speed and …

This paper formulates and estimates an econometric model, referred to as the latent
segmentation based generalized ordered logit (LSGOL) model, for examining driver injury …

Motorcycle taxi services provide an important mobility option for people in develo**
countries. With the emergence of new transport technologies, app-based motorcycle taxi …