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Title: Closing the Loop in Railway Traffic Management
Accession Number: 01518990
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: Railway traffic is sensitive to perturbations and disruptions, resulting in delays. To limit the effect and propagation of delays, real-time traffic control has been proposed, suggesting control actions based on current information on railway traffic state, the prediction of its future evolution, and mathematical programming for solving potential track conflicts. A growing literature is available on railway traffic control, but a comprehensive knowledge of effects of such automated system on real operations is still blurry and limited, due to the very scarce implementation of these systems in practice. The authors analyze in depth how the state-of-the-art railway traffic control system ROMA performs when interfaced in a closed-loop control setup with the realistic (simulated) traffic environment EGTRAIN (Environment for the desiGn and simulaTion of RAIlway Networks). The authors use a rolling horizon scheme, i.e. optimal plans are periodically computed based on current traffic information and implemented in the field, and study different combinations of parameters, setup and information availability onto the suggested control actions. Results obtained for the Dutch railway corridor Utrecht-Den Bosch show that the closed-loop setup outperforms an open-loop approach when uncertain, potentially erroneous, and limited information on train entrance delays and dwell times is used. A closed-loop setup with frequent rescheduling improves quality of the solution, at the cost of higher computation times. The authors also verified that large prediction horizons improve the solution, outperforming the dynamic and myopic First-Come-First-Served dispatching rule.
Supplemental Notes: This paper was sponsored by TRB committee AR030 Railroad Operating Technologies.
Monograph Title: Monograph Accession #: 01503729
Report/Paper Numbers: 14-2604
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Corman, FrancescoQuaglietta, EgidioPagination: 17p
Publication Date: 2014
Conference:
Transportation Research Board 93rd Annual Meeting
Location:
Washington DC Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Planning and Forecasting; Railroads; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2014 Paper #14-2604
Files: TRIS, TRB, ATRI
Created Date: Jan 27 2014 2:54PM
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