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Strategies for the use of data and algorithm approaches in railway traffic management
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Barons, Martine J. (2021) Strategies for the use of data and algorithm approaches in railway traffic management. Working Paper. Cambridge Open Engage. Mathematics In Industry Reports .
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WRAP-Strategies-use-data-algorithm-2021.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (2988Kb) | Preview |
Official URL: http://doi.org/10.33774/miir-2021-f9x91
Abstract
Resonate are interested in looking at different strategies / models / techniques for dealing with the problem of rescheduling a railway timetable when it's unexpectedly disrupted, the likely strengths and risks of these, and how they might be adapted to improve existing solutions. Nine different approaches (drawn from machine learning, network models and stochastic models) to defining the efficiency of a station in dissipating delays were considered. They fell broadly into two groups: those that sought to understand the propagation of delays and those that sought to offer strategies for minimising delays.
| Item Type: | Working or Discussion Paper (Working Paper) | ||||||
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| Subjects: | H Social Sciences > HE Transportation and Communications Q Science > Q Science (General) Q Science > QA Mathematics T Technology > T Technology (General) T Technology > TF Railroad engineering and operation |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||||
| Library of Congress Subject Headings (LCSH): | Railroads -- Traffic -- Mathematical models , Railroads -- Management -- Mathematical models , Machine learning, Bayesian statistical decision theory , Integer programming | ||||||
| Series Name: | Mathematics In Industry Reports | ||||||
| Publisher: | Cambridge Open Engage | ||||||
| Official Date: | 28 June 2021 | ||||||
| Dates: |
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| Number of Pages: | 69 | ||||||
| Institution: | University of Warwick | ||||||
| Status: | Not Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||
| Date of first compliant deposit: | 5 August 2021 | ||||||
| Date of first compliant Open Access: | 6 August 2021 | ||||||
| Open Access Version: |
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