A literature review of machine learning algorithms for crash injury severity prediction

K Santos, JP Dias, C Amado - Journal of safety research, 2022 - Elsevier
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 …

Systematic literature review of 10 years of cyclist safety research

A Scarano, M Aria, F Mauriello, MR Riccardi… - Accident Analysis & …, 2023 - Elsevier
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 …

E-Scooter safety: The riding risk analysis based on mobile sensing data

Q Ma, H Yang, A Mayhue, Y Sun, Z Huang… - Accident Analysis & …, 2021 - Elsevier
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 …

Visualization and analysis of map** knowledge domain of road safety studies

X Zou, WL Yue, H Le Vu - Accident Analysis & Prevention, 2018 - Elsevier
Map** knowledge domain (MKD) is an important application of visualization technology in
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

Y Lian, G Zhang, J Lee, H Huang - Accident analysis & Prevention, 2020 - Elsevier
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 …

An analysis of severity of oil spill caused by vessel accidents

E Cakir, C Sevgili, R Fiskin - Transportation Research Part D: Transport and …, 2021 - Elsevier
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 …

What can we learn from autonomous vehicle collision data on crash severity? A cost-sensitive CART approach

S Zhu, Q Meng - Accident Analysis & Prevention, 2022 - Elsevier
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 …

[HTML][HTML] Assessing bicycle-vehicle conflicts at urban intersections utilizing a VR integrated simulation approach

Z Xu, N Zheng, DB Logan, HL Vu - Accident Analysis & Prevention, 2023 - Elsevier
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 …

Non-linear effects of the built environment on automobile-involved pedestrian crash frequency: A machine learning approach

C Ding, P Chen, J Jiao - Accident Analysis & Prevention, 2018 - Elsevier
Although a growing body of literature focuses on the relationship between the built
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 …