Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/26143
Author(s): Marques, L.
Moro, S.
Ramos, P.
Date: 2022
Title: A literature review on problem models and solution approaches for managing real-time passenger train operations: The perspective of train operating companies
Journal title: Transportation Research Record
Volume: N/A
Reference: Marques, L., Moro, S., & Ramos, P. (2022). A literature review on problem models and solution approaches for managing real-time passenger train operations: The perspective of train operating companies. Transportation Research Record. http://dx.doi.org/10.1177/03611981221104810
ISSN: 0361-1981
DOI (Digital Object Identifier): 10.1177/03611981221104810
Keywords: Rail
Passenger rail transportation
Rail safety
Computer models
Survey recorders
Train
Abstract: This study presents a comprehensive review of different problem models for managing railway operations by problem-type classification. Railway terminology was used to identify the studies that encompass the existing body of knowledge. The 28 articles analyzed showed that existing studies are focused on the individual schedule components, such as rolling stock, schedules, crews, and passengers. Few studies have adopted a broader scope by covering several of those components. Two of the most popular approaches include the integer linear program and the mixed integer linear program variant. The difference between them is that integer programming uses discrete decision-making variable data, while mixed integer programming also admits continuous variable data. In contrast, few studies involve combining computational algorithms with human knowledge-based approaches. This analysis reveals that the most significant variables for managing disruptive events are related to verifying suppressed circulation and the discrete events of real-time traffic, such as departures and arrivals at stations.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica

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