Decision Support Systems for Real-World High-Speed Rail Planning
Publication: Journal of Transportation Engineering
Volume 142, Issue 5
Abstract
The selection of the macrolocation of new high-speed rail (HSR) systems during the planning stage affects the associated infrastructure costs. The process is influenced by the complex interaction between the HSR alignment, the technical solutions, and the characteristics of the deployment site, subject to layout restrictions. Decision support systems for the optimization of the HSR alignment are developed for addressing the requirements of large and complex real projects. The formulation includes costs, geometric constraints, connection requirements, and consideration of natural barriers such as protected land use and bodies of water, ubiquitous in real projects. The simulated annealing algorithm is implemented to address challenges of real problems and solve the optimization model. The approach is applied to a Portuguese HSR case. The solution obtained optimizes its alignment by minimizing the construction costs, consistent with existing projects worldwide, and complying with location, geometry, and land-use restrictions. The approach is not case specific and can be used to systematically study trade-off opportunities and support decision making in similar planning problems. Alternative solutions can be generated based on different judgments on the trade-offs.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The research was carried out at the University of Coimbra and the Massachusetts Institute of Technology with the financial support of the Government of Portugal through the MIT|Portugal Program and Fundação para a Ciência e a Tecnologia (FCT) doctoral grant (Grant No. SFRH/BD/43012/2008), cofinanced by the European Social Fund (ESF) through Programa Operacional Potencial Humano (POPH). The authors also acknowledge the access to preliminary studies provided by former Rede Ferroviária de Alta Velocidade, S.A. (RAVE).
References
Aarts, E., Korst, J., and Van Laarhoven, P. J. M. (1997). “Simulated annealing.” Local search in combinatorial optimization, Wiley, New York, 91–120.
Angulo, E., Castillo, E., Garcia-Rodenas, R., and Sanchez-Vizcaino, J. (2012). “Determining highway corridors.” J. Transp. Eng., 557–570.
APA (Portuguese Environmental Agency). (2012). “Environmental atlas.” 〈http://sniamb.apambiente.pt/webatlas/〉 (Mar. 14, 2012).
Bertsimas, D., and Nohadani, O. (2010). “Robust optimization with simulated annealing.” J. Global Optim., 48(2), 323–334.
Brons, M., Givoni, M., and Rietveld, P. (2009). “Access to railway stations and its potential in increasing rail use.” Transp. Res. A-Pol., 43(2), 136–149.
Campos, J., and de Rus, G. (2009). “Some stylized facts about high-speed rail: A review of HSR experiences around the world.” Trans. Policy, 16(1), 19–28.
CEN (European Committee for Standardization). (2002). “Railway application—Track alignment design parameters—Track gauges 1435 mm and wider—Part 1: Plain line.”, Brussels, Belgium.
Costa, A. L., Cunha, C., Coelho, P. a. L. F., and Einstein, H. H. (2013). “Solving high-speed rail planning with the simulated annealing algorithm.” J. Transp. Eng., 635–642.
Cunha, M. C. (1999). “On solving aquifer management problems with simulated annealing algorithms.” Water Resour. Manage., 13(3), 153–170.
Cunha, M. C., Pinheiro, L., Zeferino, J., Antunes, A., and Afonso, P. (2009). “Optimization model for integrated regional wastewater systems planning.” J. Water Resour. Plann. Manage., 23–33.
EC (European Commission). (2008). “Commission decision of 20 December 2007 concerning a technical specification for interoperability relating to the infrastructure sub-system of the trans-European high-speed rail system.” 〈http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2008:077:0001:0105:EN:PDF〉 (Nov. 30, 2011).
Jha, M. K., Schonfeld, P., and Samanta, S. (2007). “Optimizing rail transit routes with genetic algorithms and geographic information system.” J. Urban Plann. Dev., 161–171.
Jilla, C. D., and Miller, D. W. (2001). “Assessing the performance of a heuristic simulated annealing algorithm for the design of distributed satellite systems.” Acta Astron., 48(5-12), 529–543.
Johnson, D. S., Aragon, C. R., McGeoch, L. A., and Schevon, C. (1989). “Optimization by simulated annealing—An experimental evaluation. Part 1. Graph partitioning.” Oper. Res., 37(6), 865–892.
Johnson, D. S., and McGeoch, L. A. (1997). “The traveling salesman problem: A case-study.” Local search in combinatorial optimization, Wiley, New York, 215–310.
Kang, M. W., Jha, M. K., and Buddharaju, R. (2014). “Rail transit route optimization model for rail infrastructure planning and design: Case study of Saint Andrews, Scotland.” J. Transp. Eng., 1–11.
Kang, M. W., Jha, M. K., and Schonfeld, P. (2012). “Applicability of highway alignment optimization models.” Transp. Res. C-Emerg., 21(1), 257–286.
Kirkpatrick, S., Gelatt, C. D., and Vecchi, M. P. (1983). “Optimization by simulated annealing.” Science, 220(4598), 671–680.
Levinson, D. M. (2012). “Accessibility impacts of high-speed rail.” J. Trans. Geogr., 22, 288–291.
Maier, H. R., et al. (2014). “Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions.” Environ. Modell. Software, 62, 271–299.
Marques, J., Cunha, M., and Savić, D. (2015). “Using real options in the optimal design of water distribution networks.” J. Water Resour. Plann. Manage., 04014052.
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., and Teller, E. (1953). “Equation of state calculations by fast computing machines.” J. Chem. Phys., 21(6), 1087–1092.
Pardalos, P. M., Romeijn, H. E., and Tuy, H. (2000). “Recent developments and trends in global optimization.” J. Comput. Appl. Math., 124(1–2), 209–228.
Profillidis, V. A. (2006). Railway management and engineering, Ashgate Publishing Company, Burlington, VT.
RAVE (Rede Ferroviária de Alta Velocidade). (2008). “High-speed rail connection between Lisbon and Oporto.” Preliminary Project Design, Lisbon, Portugal.
Repolho, H. M., Antunes, A. P., and Church, R. L. (2013). “Optimal location of railway stations: The Lisbon-Porto high-speed rail line.” Transp. Sci., 47(3), 330–343.
RTRI (Railway Research Technical Institute). (2007). “Design standards for railway structures—Displacement limits.” Tokyo.
Samanta, S., and Jha, M. K. (2011). “Modeling a rail transit alignment considering different objectives.” Transp. Res. A-Pol., 45(1), 31–45.
SNIRH (Portuguese National Information System on Hydrological Resources). (2012). “Water atlas.” 〈http://geo.snirh.pt/AtlasAgua/〉 (Apr. 21, 2012).
Van Laarhoven, P. J. M., and Aarts, E. H. L. (1987). Simulated annealing: Theory and applications, Kluwer Academic, Dordrecht, Netherlands.
Zeferino, J. A., Cunha, M. C., and Antunes, A. P. (2012). “Robust optimization approach to regional wastewater system planning.” J. Environ. Manag., 109, 113–122.
Information & Authors
Information
Published In
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Jul 10, 2015
Accepted: Nov 4, 2015
Published online: Feb 2, 2016
Published in print: May 1, 2016
Discussion open until: Jul 2, 2016
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.