Computational Technology Resources - CCP

Keywords: planning and scheduling, parallel computing, Message Passing Interface, optimisation.

Summary

The need for modern approaches to automate planning and scheduling for maintenance operations in the railway sector has become very relevant in the recent times as a result of the imminent European Train Control System (ETCS) migration strategies. In the framework of the AUTOMAIN project (Augmented Usage of Track by Optimisation of Maintenance, Allocation and Inspection of railway Networks) research has been conducted into optimisation algorithms for automated maintenance planning and scheduling resulted in a prototype with a three separated modules architecture. The interconnectivity and performance between modules present remarkable opportunities for parallel optimization. The identification of the relevant characteristics of several parallel computing approaches related to the performance of the scheduling algorithms resulted in the selection of the Message Passing Interface (MPI) as the best optimising approach. This paper shows the evaluation of the MPI grid-based optimisation by means of number of parallelizable calculation calls and parallel computational time estimation. The achievable reduction in the total calculation time using the developed tool for planning and scheduling is presented here with respect to speed-up and efficiency. A numerical example for the validation process the automated railway maintenance planning and scheduling tool is presented.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 105 PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: Paper 9 Optimisation of Railway Maintenance Scheduling by Parallel Computing D.E. Diaz Fuentes¹, F.G. Toro¹, M. Hudik² and E. Schnieder¹ ¹Institut für Verkehrssicherheit und Automatisierungstechnik, Technische Universität Braunschweig, Germany ²Faculty of Management Science and Informatics, University of Zilina, Slovakia doi:10.4203/ccp.105.9 purchase the full-text of this paper Full Bibliographic Reference for this paper D.E. Diaz Fuentes, F.G. Toro, M. Hudik, E. Schnieder, "Optimisation of Railway Maintenance Scheduling by Parallel Computing", in , (Editors), "Proceedings of the Ninth International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 9, 2014. doi:10.4203/ccp.105.9 Keywords: planning and scheduling, parallel computing, Message Passing Interface, optimisation. Summary The need for modern approaches to automate planning and scheduling for maintenance operations in the railway sector has become very relevant in the recent times as a result of the imminent European Train Control System (ETCS) migration strategies. In the framework of the AUTOMAIN project (Augmented Usage of Track by Optimisation of Maintenance, Allocation and Inspection of railway Networks) research has been conducted into optimisation algorithms for automated maintenance planning and scheduling resulted in a prototype with a three separated modules architecture. The interconnectivity and performance between modules present remarkable opportunities for parallel optimization. The identification of the relevant characteristics of several parallel computing approaches related to the performance of the scheduling algorithms resulted in the selection of the Message Passing Interface (MPI) as the best optimising approach. This paper shows the evaluation of the MPI grid-based optimisation by means of number of parallelizable calculation calls and parallel computational time estimation. The achievable reduction in the total calculation time using the developed tool for planning and scheduling is presented here with respect to speed-up and efficiency. A numerical example for the validation process the automated railway maintenance planning and scheduling tool is presented. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £45 +P&P)
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