Big-data driven assessment of railway track and maintenance efficiency using Artificial Neural Networks-Reference-Cited by-同舟云学术

Big-data driven assessment of railway track and maintenance efficiency using Artificial Neural Networks

Published:2022-09 Issue: Volume:349 Page:128786
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Popov K.,De Bold R.,Chai H.-K.,Forde M.C.,Ho C.L.,Hyslip J.P.,Kashani H.F.,Long P.,Hsu S.S.

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference31 articles.

1. Dataportal.orr.gov.uk. 2022.Passenger rail usage | ORR Data Portal. [online] Available at: [Accessed 18 May 2022].

2. GOV.UK. 2020.UK Becomes First Major Economy To Pass Net Zero Emissions Law. [online] Available at: [Accessed 17 November 2020].

3. High Speed 2. 2020.Carbon - Putting Britain On Track To A Net Zero Carbon Future | High Speed 2. [online] Available at: [Accessed 17 November 2020].

4. Railway Infrastructure Maintenance - A Survey of Planning Problems and Conducted Research;Lidén,2015

5. A review of rail track degradation prediction models;Falamarzi;Aust. J. Civ. Eng.,2019

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