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Calibration of urban rail simulation models: A methodology using SPSA algorithm
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
2011 (English)Conference paper (Refereed)
Abstract [en]

Rail simulation model calibration is a process of adjusting model parameters while comparing model output with observations from the real rail system. There is a lack of systematic methodology for calibrating urban rail simulation models. Based on a simulator developed for urban rail operations and control, the paper demonstrates a methodology of calibrating model parameters, and specifically, fine-tuning some of the simulation inputs. The calibration process is modeled as a multi-variate optimization problem and solved by the Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm. A case study of the Massachusetts Bay Transportation Authority (MBTA) Red Line shows that the methodology improves the simulation model dramatically in terms of replicating the track block runtimes. At the same time, it upgrades the station specific dwell time parameters and enhances a-priori boarding rates at stations fairly effectively.

Place, publisher, year, edition, pages
2011. 3699-3709 p.
, Proceedings - Winter Simulation Conference, ISSN 0891-7736
Keyword [en]
Calibration process, Dwell time, Massachusetts, Model outputs, Model parameters, Optimization problems, Rail operations, Rail systems, Red line, Runtimes, Simulation model, Simultaneous perturbation stochastic approximation algorithms, SPSA algorithms, Systematic methodology, Algorithms, Calibration, Railroad transportation, Computer simulation
National Category
Transport Systems and Logistics
URN: urn:nbn:se:kth:diva-149751DOI: 10.1109/WSC.2011.6148063ScopusID: 2-s2.0-84863246797ISBN: 9781457721083OAI: diva2:749416
2011 Winter Simulation Conference, WSC 2011; Phoenix, AZ; United States; 11 December 2011 through 14 December 2011

QC 20140924

Available from: 2014-09-24 Created: 2014-08-27 Last updated: 2014-10-03Bibliographically approved

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Koutsopoulos, Harilaos N.
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