An autonomous system for maintenance scheduling data-rich complex infrastructure: Fusing the railways’ condition, planning and cost
- Submitting institution
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University of Bedfordshire
- Unit of assessment
- 17 - Business and Management Studies
- Output identifier
- 7765876
- Type
- D - Journal article
- DOI
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10.1016/j.trc.2018.02.010
- Title of journal
- Transportation Research Part C: Emerging Technologies
- Article number
- -
- First page
- 234
- Volume
- 89
- Issue
- -
- ISSN
- 0968-090X
- Open access status
- Technical exception
- Month of publication
- February
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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10
- Research group(s)
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3 - BMRI - Business and Management Research Institute
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -