An autonomous system for maintenance scheduling data-rich complex infrastructure: Fusing the railways’ condition, planning and cost

Isidro Durazo-Cardenas,Andrew Starr,Christopher J. Turner,Ashutosh Tiwari,Leigh Kirkwood,Maurizio Bevilacqua,Antonios Tsourdos,Essam Shehab,Paul Baguley,Yuchun Xu,Christos Emmanouilidis

Transportation Research Part C: Emerging Technologies（2018）

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摘要

•Decision-making in data-rich, large and complex intervention scenarios.•Integration of railway technical and business drivers for optimised interventions.•Optimum scheduling by sequencing heuristic and genetic algorithms.•Comprehensive task cost breakdown modelling for added-value autonomy.•Proof of principle validated by British rail network stakeholders.

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关键词

Data-driven asset management of rail infrastructure,Systems integration,Condition-based maintenance,Intelligent maintenance,Data fusion,Cost engineering,Planning and scheduling,Systems design and implementation

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