[HTML][HTML] Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review

Y Ali, F Hussain, MM Haque - Accident Analysis & Prevention, 2024 - Elsevier
Accurately modelling crashes, and predicting crash occurrence and associated severities
are a prerequisite for devising countermeasures and developing effective road safety …

Econometric and machine learning methods to identify pedestrian crash patterns

M Rella Riccardi, F Galante, A Scarano, A Montella - Sustainability, 2022 - mdpi.com
Walking plays an important role in overcoming many challenges nowadays, and
governments and local authorities are encouraging healthy and environmentally sustainable …

Evaluation of contributing factors affecting number of vehicles involved in crashes using machine learning techniques in rural roads of Cosenza, Italy

G Guido, S Shaffiee Haghshenas… - Safety, 2022 - mdpi.com
The evaluation of road safety is a critical issue having to be conducted for successful safety
management in road transport systems, whereas safety management is considered in road …

[HTML][HTML] Flight delay causality: Machine learning technique in conjunction with random parameter statistical analysis

S Mokhtarimousavi, A Mehrabi - International Journal of Transportation …, 2023 - Elsevier
The consequences of flight delay can significantly impact airports' on‐time performance and
airline operations, which have a strong positive correlation with passenger satisfaction …

COVID-19 and injury severity of drivers involved in run-off-road crashes: analyzing the impact of contributing factors

S Mokhtarimousavi, AE Kitali… - Transportation …, 2022 - journals.sagepub.com
This study examined the relationship between the lockdown during the COVID-19 pandemic
and the severity of injuries sustained by drivers involved in run-off-road (ROR) crashes. A …

Pedestrian Crossing Safety at High-Risk Locations: An Inclusive Review

D Mukherjee, K Ramachandra Rao… - Journal of Urban …, 2024 - ascelibrary.org
This study aims to assemble and present the status of the published information available
regarding pedestrian safety near crosswalks and bus stops through a comprehensive …

A holistic approach to exploring the root factors of work zone accidents

B Chammout, MO Ahmed, I El-adaway… - Journal of Management …, 2024 - ascelibrary.org
Work zones are crucial for infrastructure maintenance and improvement. However, ongoing
projects within work zones sometimes can place workers and drivers in dangerous …

Analysis of injury severity of work zone crashes on rural and urban work zones: accounting for out-of-sample prediction and temporal instability

R Rangaswamy, N Alnawmasi, Y Zhang - Accident Analysis & Prevention, 2024 - Elsevier
This research utilizes data collected in Florida to examine the differentials in injury severities
among single-vehicle drivers involved in work zone-related incidents, specifically focusing …

Risk levels classification of near-crashes in Naturalistic driving data

HAH Naji, Q Xue, N Lyu, X Duan, T Li - Sustainability, 2022 - mdpi.com
Identifying dangerous events from driving behavior data has become a vital challenge in
intelligent transportation systems. In this study, we compared machine and deep learning …

Analyzing the time-varying patterns of contributing factors in work zone-related crashes

S Das, A Dutta, R Tamakloe… - Journal of Transportation …, 2024 - Taylor & Francis
Work zones are crucial for maintaining and enhancing road infrastructure, but they also pose
a significant risk to traffic safety. Between 2016 and 2020, work zone-related crashes in the …