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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Towards The Automated Inference Of Queueing
Network Models From High-Precision Location Tracking Data |
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Authors: |
Tzu-Ching Horng, Nicholas Dingle, Adam Jackson, William Knottenbelt |
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Published in:
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(2009).ECMS
2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel
Pedrera. European Council for Modeling and
Simulation. doi:10.7148/2009 ISBN: 978-0-9553018-8-9 23rd
European Conference on Modelling and Simulation, Madrid, June
9-12, 2009 |
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Citation
format: |
Horng, T.-C.,
Dingle, N., Jackson, A., & Knottenbelt, W.
(2009). Towards The Automated Inference Of Queueing
Network Models From High-Precision Location Tracking Data. ECMS 2009
Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera (pp.
664-672). European Council for Modeling and Simulation. doi:10.7148/2009-0664-0672 |
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DOI: |
http://dx.doi.org/10.7148/2009-0664-0672 |
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Abstract: |
Traditional
methods for deriving performance models of customer flow in real-life systems
are manual, time- consuming and prone to human error. This paper pro- poses
an automated four-stage data processing pipeline which takes as input raw
high-precision location track- ing data and which
outputs a queueing network model of customer flow.
The pipeline estimates both the structure of the network and the underlying interarrival and service time distributions of its
component service centres. We evaluate our method’s
effectiveness and accuracy in four experimental case studies. |
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