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A review of key planning and scheduling in the rail industry in Europe and UK

Turner, Christopher, Tiwari, Ashutosh, Starr, Andrew and Blacktop, Kevin (2015) A review of key planning and scheduling in the rail industry in Europe and UK Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 230 (3). pp. 984-998.

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Abstract

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.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > Surrey Business School
Authors :
NameEmailORCID
Turner, Christopher
Tiwari, Ashutosh
Starr, Andrew
Blacktop, Kevin
Date : 6 February 2015
Funders : Engineering and Physical Sciences Research Council (EPSRC)
DOI : 10.1177/0954409714565654
Copyright Disclaimer : © IMechE 2015. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Uncontrolled Keywords : Rail planning and scheduling; Decision support systems; semantic technologies
Depositing User : Clive Harris
Date Deposited : 11 Sep 2018 12:36
Last Modified : 11 Sep 2018 12:36
URI: http://epubs.surrey.ac.uk/id/eprint/849254

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