A literature review of machine learning algorithms for crash injury severity prediction
Introduction: Road traffic crashes represent a major public health concern, so it is of
significant importance to understand the factors associated with the increase of injury …
significant importance to understand the factors associated with the increase of injury …
Systematic literature review of 10 years of cyclist safety research
Cyclist safety is a research field that is gaining increasing interest and attention, but still
offers questions and challenges open to the scientific community. The aim of this study was …
offers questions and challenges open to the scientific community. The aim of this study was …
E-Scooter safety: The riding risk analysis based on mobile sensing data
The emergence of shared electric scooter (E-Scooter) systems offers a new micro-mobility
mode in many urban areas worldwide. These systems have rapidly attracted numerous trips …
mode in many urban areas worldwide. These systems have rapidly attracted numerous trips …
Visualization and analysis of map** knowledge domain of road safety studies
Map** knowledge domain (MKD) is an important application of visualization technology in
Bibliometrics, which has been extensively applied in psychology, medicine, and information …
Bibliometrics, which has been extensively applied in psychology, medicine, and information …
Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles
Abstract The era of Big Data has arrived. Recently, under the environment of intelligent
transportation systems (ITS) and connected/automated vehicles (CAV), Big Data has been …
transportation systems (ITS) and connected/automated vehicles (CAV), Big Data has been …
An analysis of severity of oil spill caused by vessel accidents
Marine pollution, especially oil spill-based, affects both marine and coastal environment is
one of the most important issues for the maritime industry. The accurate prediction of the …
one of the most important issues for the maritime industry. The accurate prediction of the …
What can we learn from autonomous vehicle collision data on crash severity? A cost-sensitive CART approach
Autonomous vehicles (AVs) are emerging in the automobile industry with potential benefits
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …
[HTML][HTML] Assessing bicycle-vehicle conflicts at urban intersections utilizing a VR integrated simulation approach
Animosity between drivers and cyclists has existed on urban road networks for many years.
Conflicts between these two groups of road users are exceptionally high in the shared right …
Conflicts between these two groups of road users are exceptionally high in the shared right …
Non-linear effects of the built environment on automobile-involved pedestrian crash frequency: A machine learning approach
Although a growing body of literature focuses on the relationship between the built
environment and pedestrian crashes, limited evidence is provided about the relative …
environment and pedestrian crashes, limited evidence is provided about the relative …
[HTML][HTML] Injury severity prediction of cyclist crashes using random forests and random parameters logit models
A Scarano, MR Riccardi, F Mauriello… - Accident Analysis & …, 2023 - Elsevier
Cycling provides numerous benefits to individuals and to society but the burden of road
traffic injuries and fatalities is disproportionately sustained by cyclists. Without awareness of …
traffic injuries and fatalities is disproportionately sustained by cyclists. Without awareness of …