Abstract
Railroad operations are complex processes incorporating several different decisions in order to move a railcar from one location to another. These decisions are often made separately without the ability to easily understand the impact of one decision on another. For example, if a new train is added, and another removed, will the expected connections of the traffic from those trains to subsequent trains still be acceptable, will the network capacity still be sufficient, and will the yards be able to handle the changes in workload? The role of the network simulation capability is to allow analysts to understand how all these disparate pieces fit together, primarily in the context of evaluating operating plan designs and contingency planning.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Allen WB, Mahmoud MM, McNeil D (1985) The importance of time in transit and reliability of transit time for shippers, receivers, and carriers. Transport Res B 19(5):447–456
Allman WP (1966) A computer simulation model of railroad freight transportation system. Proceedings of 4th international conference on operations research, Wiley, pp 339–351
Allman WP (1966) A network simulation approach to the railroad freight train scheduling and car sorting problem, Ph.D. Thesis, Northwestern University
Ballou RH (2004) Business logistics: supply chain management. Pearson Prentice Hall, Upper Saddle River, NJ, p 14
Bellman JA (1967) Railroad network model. Second international symposium on the use of cybernetics on the railways, Montreal, Canada. Proceedings edited by International Union of Railways (UIC), Paris, France
Hanes CA, Barnhart C, Johnson EL, Marsten RE, Nemhauser GL, Sigismondi G (1995) The fleet assignment problem: solving a large-scale integer program. Math Program 70:211–232
Ireland P, Case R, Fallis J, Van Dyke C, Kuehn J, Meketon M (2004) The Canadian Pacific Railway transforms operations by using models to develop its operating plans. Interfaces 34(1):5–14
Luo M, Meketon M (1997) A train scheduling model for reducing locomotive requirements. INFORMS National Meeting, San Diego
Martland CD (1982) PMAKE analysis: predicting rail yard time distributions using probabilistic train connection standards. Transport Sci 16(4):476–506
McCarren JR, Martland CD (1980) The MIT service planning model. Studies in Railroad Operations and Economics. Massachusetts Institute of Technology, vol 31 Cambridge, MA, USA
McGinnis MK (1990) The relative importance of cost and service in freight transportation choice before and after deregulation. Transport J 30(1):12–19
Oliver Wyman MultiRail Enterprise Edition, http://www.oliverwyman.com/insights/publications/2012/mar/multirail-enterprise-edition.html#.VFZwRfnF8pg
Petersen ER, Fullerton HV (1975) The railcar network model, Canadian Institute of Guided Ground Transport, Queen’s University, Kingston, ON, Canada, CIGGT Report No. 75-11
Powell W, Bouzaiene‐Ayari B, Lawrence C, Cheng C, Das S, Fiorillo R (2014) Locomotive planning at Norfolk Southern: an optimizing‐simulator using approximate dynamic programming. Interf Art Adv (http://dx.doi.org/10.1287/inte.2014.0741)
Roberts K, Holcomb M (2012) Key factors and trends in transportation mode and carrier selection, pursuit. J Undergraduate Res Univ Tennessee 4(1):41–52
Siddiqee W, D’Esopo DA (1977) Computer-aided methodologies to develop blocking and train operations strategies for railroad networks. SRI International, Business Intelligence Program. Menlo Park, CA USA
Siddiqee W, D’Esopo DA (1975) User’s manual for the network analysis computer programs. SRI International, Business Intelligence Program. Menlo Park, CA USA
Siddiqee W, D’Esopo DA, Tuan PL (1975) Blocking and train operations planning, SRI International, National Technical Information Service, 1975, USRA-R-106.1 Final Report, Accession No. 00129799. Menlo Park, CA USA
Stewart JC (1980) A decision support system for railroad freight operations management, M.S. Thesis, Technology and Policy, Massachusetts Institute of Technology, Cambridge, MA
Vaidyanathan B, Jha KC, Ahuja RK (2007) Multicommodity network flow approach to the railroad crew-scheduling problem. IBM J Res Dev 51(3/4):325–344
Van Dyke CD (1981) Microcomputers and the service planning model: designing a more useful tool for the rail industry, M.S. Thesis, Civil Engineering, Massachusetts Institute of Technology, Cambridge, MA
Wilson PB, Hudson CJ (1970) Development, validation and application of the CN network model. Third international symposium on railway cybernetics, Tokyo
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media New York
About this chapter
Cite this chapter
Van Dyke, C., Meketon, M., Patty, B.W. (2015). Network Analysis and Simulation. In: Patty, B. (eds) Handbook of Operations Research Applications at Railroads. International Series in Operations Research & Management Science, vol 222. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7571-3_8
Download citation
DOI: https://doi.org/10.1007/978-1-4899-7571-3_8
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-7570-6
Online ISBN: 978-1-4899-7571-3
eBook Packages: Business and EconomicsBusiness and Management (R0)