Quantifying the Relative Influence of Railway Hump Classification Yard Performance Factors

Author:

Tyler Dick C.1ORCID

Affiliation:

1. Lecturer and 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. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference42 articles.

1. AAR (Association of American Railroads). 2019. Railroad facts. Washington, DC: AAR.

2. Network Models in Railroad Planning and Scheduling

3. AREMA (American Railway Engineering and Maintenance-of-Way Association). 2019. Manual for railway engineering. Lantham, MD: AREMA.

4. Prediction of arrival times of freight traffic on US railroads using support vector regression;Barbour W.;Transp. Res. Part C: Emerging Technol.,2018

5. Baugher, R. W. 2015. “Simulation of yard and terminal operations.” In Handbook of operations research applications at railroads. New York: Springer.

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1. Predicting and measuring service disruption recovery time in railway gravity hump classification yards;Journal of Rail Transport Planning & Management;2024-03

2. Quantifying the Influence of Volume Variability on Railway Hump Classification Yard Performance with AnyLogic Simulation;Transportation Research Record: Journal of the Transportation Research Board;2023-04-08

3. General Model of the Effect of Hazardous Materials Car Placement in Trains and their Probability of Derailment;Transportation Research Record: Journal of the Transportation Research Board;2022-05-05

4. Influence of mainline schedule flexibility and volume variability on railway classification yard performance;Journal of Rail Transport Planning & Management;2021-12

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