A SOFTWARE ARCHITECTURE FOR AUTONOMOUS MAINTENANCE SCHEDULING: SCENARIOS FOR UK AND EUROPEAN RAIL
Free (open access)
Volume 1 (2017), Issue 3
371 - 381
CHRIS TURNER, PRITHYUKSHAA THOPPUR RAVI, ASHUTOSH TIWARI, ANDREW STARR & KEVIN BLACKTOP
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.
decision support systems, rail planning and scheduling, software architecture