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 …

Highway accident severity prediction for optimal resource allocation of emergency vehicles and personnel

HM Alnami, I Mahgoub… - 2021 IEEE 11th Annual …, 2021 - ieeexplore.ieee.org
Traffic accidents could have significant impacts on people's lives. Roughly half a million
highway traffic accidents occurred in 2018 in the USA. Intelligent Transportation Systems …

Development of New Performance Measures Based on Data Mining Weights for Hotspot Identification

S Son, J Park, G Lee… - Transportation Research …, 2022 - journals.sagepub.com
In this study, new performance measures are proposed for hotspot identification in urban
intersections. These measures reflect severity factor weights, which are determined based …

Discovering crash severity factors of grade crossing with a machine learning approach

D Lee, J Warner, C Morgan - ASME/IEEE Joint …, 2019 - asmedigitalcollection.asme.org
According to the Federal Railroad Administration (FRA) Highway-Rail Grade Crossing
Accident/Incident database, more than 12,000 accidents occurred between 2012 and 2017 …

Analysis of autonomous vehicle dynamics based on the big data approach

D Fényes, B Németh, P Gáspár - 2018 European Control …, 2018 - ieeexplore.ieee.org
This paper presents an analysis of autonomous vehicle dynamics which focuses on lateral
stability. The analysis is based on the collection of big data from the signals of the vehicle …

Data-driven reachability analysis for the reconfiguration of vehicle control systems

D Fényes, B Németh, P Gáspár - IFAC-PapersOnLine, 2018 - Elsevier
The paper presents a reconfigurable control strategy for the lateral stability of autonomous
vehicles. The control strategy is based on the analysis of big data, which are provided by the …

[PDF][PDF] A Review on Analysis of Railway Traffic Accident with Data Mining Techniques

M Bala, A Bhasin - International Journal of Computer Sciences …, 2018 - researchgate.net
Accepted: 19/Jun/2018, Published: 30/Jun/2018 Abstract-Accident examination assumes an
imperative part in transportation framework. Examination of mishap is critical on the grounds …

Real-Time Highway Traffic Flow and Accident Severity Prediction in Vehicular Networks Using Distributed Machine Learning and Big Data Analysis

HM Alnami - 2022 - search.proquest.com
Abstract In recent years, Florida State recorded thousands of abnormal traffic flows on
highways that were caused by traffic incidents. Highway traffic congestion costed the US …

Los accidentes de tránsito desde la perspectiva de la minería de datos. Una revisión de la literatura.

JP Henao-Pereira, AE Tovar-León… - Aibi revista de …, 2020 - revistas.udes.edu.co
Los accidentes de tránsito desde la perspectiva de la minería de datos. Una revisión de la
literatura. Traffic accidents from Page 1 DOI: 10.15649/2346030X.743 Aibi revista de …

[PDF][PDF] Los accidentes de tránsito desde la perspectiva de la minería de datos. Una revisión de la literatura. Traffic accidents from the perspective of data mining A …

JP Henao-Pereira, AE Tovar-León… - scholar.archive.org
Se habla de un accidente de tránsito (AT) como un hecho inesperado que se presenta
sobre las vías, condicionado por factores de naturaleza humana (imprudencia, descuido …