Towards the Implementation of Optimal Train Loading Plan in the Athens-Thessaloniki Freight Services
Athanasios Ballis,
Fillipos Karapetis and
Theocharis Ballis
Additional contact information
Athanasios Ballis: National Technical University of Athens, Transportation Planning and Engineering, Athens, Greece
Fillipos Karapetis: TRAINOSE, Strategic Planning, Athens, Greece
Theocharis Ballis: Transport Systems Catapult, United Kingdom
International Journal of Operations Research and Information Systems (IJORIS), 2017, vol. 8, issue 3, 39-53
Abstract:
The main goal of train loading optimization is the proper assignment of loading units onto the wagons, taking under consideration numerous factors like the maximum axle load restrictions, the condition of the railway infrastructure, the operating conditions, safety regulations etc. The typical expression of the problem is usually formulated under one of the two following assumptions: (a) the commodity load is predefined or (b) the number and type of wagons is fixed. The current work describes the steps that were followed and enabled the analysis, optimization and integration of the train loading plan into the information system that supports the new railway service of TRAINOSE for containers transport on the Athens – Thessaloniki line. This new service, named iCS, was launched in December 2013 and ever since operates on a daily basis. The work includes a literature review, a mention of the pragmatic aspects that influence container transport and train loading plan, the presentation of the heuristic which is implemented in the information system of iCS service, a validation process against a mixed integer optimization model and finally concludes with the proposed solution for the iCS wagon loading problem.
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJORIS.2017070103 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:joris0:v:8:y:2017:i:3:p:39-53
Access Statistics for this article
International Journal of Operations Research and Information Systems (IJORIS) is currently edited by John Wang
More articles in International Journal of Operations Research and Information Systems (IJORIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().