A machine learning and data analytics approach for predicting evacuation and identifying contributing factors during hazardous materials incidents on railways

H Ebrahimi, F Sattari, L Lefsrud, R Macciotta - Safety science, 2023 - Elsevier
An emergency evacuation order might be issued in response to a railway incident involving
hazardous materials (hazmat), such as the February 2023 derailment at Palestine, Ohio …

Railroad accident analysis by machine learning and natural language processing

R Bridgelall, DD Tolliver - Journal of Rail Transport Planning & …, 2024 - Elsevier
The evolving complexities of railroad systems also increase their vulnerability to failure from
human error. This study compared the outcomes of two workflows that incorporated 11 …

A neural network for transportation safety modeling

RR Hashemi, LA Le Blanc, CT Rucks… - Expert Systems with …, 1995 - Elsevier
Accidents serve as an operational measure of marine safety, and specifically the safety of
vessels, crews, and cargoes. The ability to accurately predict the type of vessel accident with …

[HTML][HTML] Predicting urban rail transit safety via artificial neural networks

FA Awad, DJ Graham, R Singh, L AitBihiOuali - Safety science, 2023 - Elsevier
This paper studies the operational safety of urban rail transit (URT) systems through Artificial
Neural Networks. While recent safety literature adopting systematic models of analysis …

[HTML][HTML] Severity analysis of hazardous material road transportation crashes with a Bayesian network using Highway Safety Information System data

M Sun, R Zhou, C Jiao, X Sun - International journal of environmental …, 2022 - mdpi.com
Although crashes involving hazardous materials (HAZMAT) are rare events compared with
other types of traffic crashes, they often cause tremendous loss of life and property, as well …

Probabilistic classification of hazardous materials release events in train incidents and cargo tank truck crashes

A Iranitalab, A Khattak - Reliability Engineering & System Safety, 2020 - Elsevier
As two of the main modes of hazmat surface transportation, quantifying conditional
probability of release of hazmat from trains in rail incidents and Cargo Tank Trucks (CTTs) in …

Ranking risk factors in financial losses from railroad incidents: a machine learning approach

N Dhingra, R Bridgelall, P Lu… - Transportation …, 2023 - journals.sagepub.com
The reported financial losses from railroad accidents since 2009 have been more than US
$4.11 billion dollars. This considerable loss is a major concern for the industry, society, and …

An estimation framework to quantify railway disruption parameters

BS Grandhi, E Chaniotakis, S Thomann… - IET Intelligent …, 2021 - Wiley Online Library
Railway network operations form complex systems. Any disruption adversely impacts the
operations, causing long delays. Many studies investigate the effect of a railway incident; …

Emergency evacuation simulation and optimization for a complex rail transit station: a perspective of promoting transportation safety

H Xu, C Tian, Y Li - Journal of advanced transportation, 2020 - Wiley Online Library
Rail transit stations with multifloor structures have been built in many cities to intensively
utilize land resources and facilitate lives of community. However, being overcrowded with …

[HTML][HTML] Dynamic railway derailment risk analysis with text-data-based Bayesian network

L Yang, K Li, G Song, F Khan - Applied Sciences, 2021 - mdpi.com
In recent years, transportation system safety analysis has become increasingly challenging
and highly demanding. Unstructured data contain sufficient information from which inherent …