Applications of machine learning methods in traffic crash severity modelling: current status and future directions

X Wen, Y Xie, L Jiang, Z Pu, T Ge - Transport reviews, 2021 - Taylor & Francis
As a key area of traffic safety research, crash severity modelling has attracted tremendous
attention. Recently, there has been growing interest in applying machine learning (ML) …

Anticipated Collision Time (ACT): A two-dimensional surrogate safety indicator for trajectory-based proactive safety assessment

SP Venthuruthiyil, M Chunchu - Transportation research part C: emerging …, 2022 - Elsevier
Abstract Surrogate Safety Measures (SSMs) are widely used to assess potential crash risk
proactively. Notably, most of the existing safety indicators are fundamentally designed to …

Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression …

R Tamakloe, S Das, EN Aidoo, D Park - Accident Analysis & Prevention, 2022 - Elsevier
Despite the countless benefits derived from motorcycle usage, it has become a significant
public health concern, particularly in developing countries, due to the plateauing number of …

A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw

M Ijaz, M Zahid, A Jamal - Accident Analysis & Prevention, 2021 - Elsevier
Motorcycles and motorcyclists have a variety of attributes that have been found to be a
potential contributor to the high liability of vulnerable road users (VRUs). Vulnerable Road …

A parallel FP-growth mining algorithm with load balancing constraints for traffic crash data

Y Yang, N Tian, Y Wang, Z Yuan - International Journal of …, 2022 - fsja.univagora.ro
Traffic safety is an important part of the roadway in sustainable development. Freeway traffic
crashes typically cause serious casualties and property losses, being a serious threat to …

Application of association rules mining algorithm for hazardous materials transportation crashes on expressway

J Hong, R Tamakloe, D Park - Accident Analysis & Prevention, 2020 - Elsevier
Although crashes involving hazardous material (HAZMAT) vehicles on expressways do not
occur frequently compared with other types of vehicles, the number of lives lost and social …

Comparison of injury severity between E-bikes-related and other two-wheelers-related accidents: Based on an accident dataset

Q Qian, J Shi - Accident Analysis & Prevention, 2023 - Elsevier
This study aims to compare the accident injury severity of e-bikes with that of other types of
two-wheelers based on accident data and to analyze the factors influencing them. Using …

Studying the effects of an advanced driver-assistance system to improve safety of cyclists overtaking

T Brijs, F Mauriello, A Montella, F Galante… - Accident Analysis & …, 2022 - Elsevier
Among all crashes involving cyclists, a motorist approaching from behind a cyclist on a
shared lane is particularly dangerous and likely to result in serious injuries and fatalities …

[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 …

Data mining approach to model bus crash severity in Australia

SA Samerei, K Aghabayk, A Mohammadi… - Journal of safety …, 2021 - Elsevier
Introduction: Buses are different vehicles in terms of dimensions, maneuverability, and
driver's vision. Although bus traveling is a safe mode to travel, the number of annual bus …