Technical Papers
May 31, 2020

Potential for Moving Blocks and Train Fleets to Enable Faster Train Meets on Single-Track Rail Corridors

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 8

Abstract

On single-track rail corridors, meets between trains are a significant source of train delay. From the stopping train’s perspective, a meet can be divided into three distinct phases: braking into a siding, waiting for higher-priority trains to pass, and accelerating to operating speed on the main track. Meet delay can be further divided into fixed and variable components depending on the number of trains partaking in the meet. Advanced train control systems incorporating moving blocks and innovative dispatching strategies such as train fleeting promise to reduce minimum meet times. Using a spreadsheet-based calculation, it was found that train fleeting distributes fixed delays among more train conflicts, resulting in more efficient conflict resolution. Complementarily, moving blocks minimize variable delays. Combining moving blocks and fleeting can be highly effective, producing the lowest meet delay across a variety of track speeds and dispatching strategies. The results from this study can help railway practitioners evaluate the benefits of train fleeting, moving blocks, shorter train lengths, and extended fleet-length sidings when developing operating and capital plans.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. The following spreadsheets and incorporated macros were used in this research: Braking and Acceleration Calculator, Train Meet Calculator, RTC Delay Calculator, and Figure Data.

Acknowledgments

This research was supported by the National University Rail Center (NURail), a US DOT OST Tier 1 University Transportation Center, and the Association of American Railroads. The first author was partially supported by the CN Research Fellowship in Railroad Engineering. The authors thank Eric Wilson of Berkeley Simulation Software, LLC, for the use of Rail Traffic Controller simulation software and technical support.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 146Issue 8August 2020

History

Received: Nov 22, 2019
Accepted: Mar 17, 2020
Published online: May 31, 2020
Published in print: Aug 1, 2020
Discussion open until: Oct 31, 2020

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Graduate Research Assistant, Rail Transportation and Engineering Center (RailTEC), Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, 205 N. Mathews Ave., Urbana, IL 61801. ORCID: https://orcid.org/0000-0002-9718-4832. Email: [email protected]
Principal Railway Research Engineer, Rail Transportation and Engineering Center (RailTEC), Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, 205 N. Mathews Ave., Urbana, IL 61801 (corresponding author). ORCID: https://orcid.org/0000-0002-2527-1320. Email: [email protected]
Graduate Research Assistant, Rail Transportation and Engineering Center (RailTEC), Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, 205 N. Mathews Ave., Urbana, IL 61801. ORCID: https://orcid.org/0000-0001-5927-1364. Email: [email protected]

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