Browsing by Author "Blacktop, K."

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    A review of key planning and scheduling in the rail industry in Europe and UK
    (SAGE, 2016-02) Turner, Christopher J.; Tiwari, Ashutosh; Starr, Andrew G.; Blacktop, K.
    Planning and scheduling activities within the rail industry have benefited from developments in computer-based simulation and modelling techniques over the last 25 years. Increasingly, the use of computational intelligence in such tasks is featuring more heavily in research publications. This paper examines a number of common rail-based planning and scheduling activities and how they benefit from five broad technology approaches. Summary tables of papers are provided relating to rail planning and scheduling activities and to the use of expert and decision systems in the rail industry.
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    A software architecture for autonomous maintenance scheduling: Scenarios for UK and European Rail
    (W I T Press, 2016-11-22) Turner, Christopher J.; Ravi, P. T.; Tiwari, Ashutosh; Starr, Andrew G.; Blacktop, K.
    A new era of automation in rail has begun offering developments in the operation and maintenance of industry standard systems. This article documents the development of an architecture and range of scenarios for an autonomous system for rail maintenance planning and scheduling. The Unified Modelling Language (UML) has been utilized to visualize and validate the design of the prototype. A model for information exchange between prototype components and related maintenance planning systems is proposed in this article. Putting forward an architecture and set of usage mode scenarios for the proposed system, this article outlines and validates a viable platform for autonomous planning and scheduling in rail.