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Behavioral Calibration and Analysis of a Large-Scale Travel Microsimulation

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  • Gunnar Flötteröd

    ()

  • Yu Chen

    ()

  • Kai Nagel

    ()

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    Abstract

    This article reports on the calibration and analysis of a fully disaggregate (agent-based) transport simulation for the metropolitan area of Zurich. The agent-based simulation goes beyond traditional transport models in that it equilibrates not only route choice but all-day travel behavior, including departure time choice and mode choice. Previous work has shown that the application of a novel calibration technique that adjusts all choice dimensions at once from traffic counts yields cross-validation results that are competitive with any state-of-the-art four-step model. While the previous study aims at a methodological illustration of the calibration method, this work focuses on the real-world scenario, and it elaborates on the usefulness of the obtained results for further demand analysis purposes. Copyright Springer Science+Business Media, LLC 2012

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    File URL: http://hdl.handle.net/10.1007/s11067-011-9164-9
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    Bibliographic Info

    Article provided by Springer in its journal Networks and Spatial Economics.

    Volume (Year): 12 (2012)
    Issue (Month): 4 (December)
    Pages: 481-502

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    Handle: RePEc:kap:netspa:v:12:y:2012:i:4:p:481-502

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    Web page: http://www.springerlink.com/link.asp?id=106607

    Related research

    Keywords: Multi-agent simulation; Dynamic traffic assignment; Disaggregate demand calibration; Real-world application;

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    1. David Charypar & Kai Nagel, 2005. "Generating complete all-day activity plans with genetic algorithms," Transportation, Springer, vol. 32(4), pages 369-397, 07.
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    Cited by:
    1. Katrien Ramaekers & Sofie Reumers & Geert Wets & Mario Cools, 2013. "Modelling Route Choice Decisions of Car Travellers Using Combined GPS and Diary Data," Networks and Spatial Economics, Springer, vol. 13(3), pages 351-372, September.

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