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DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model

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  • Moshe Ben-Akiva
  • Song Gao
  • Lu Lu
  • Yang Wen

Abstract

Dynamic Traffic Assignment (DTA) models are important decision support tools for transportation planning and real-time traffic management. One of the biggest obstacles of applying DTA in large-scale networks is the calibration of model parameters, which is essential for the realistic replication of the traffic condition. This paper proposes a methodology for the simultaneous demand-supply DTA calibration based on both aggregate measurements and disaggregate route choice observations to improve the calibration accuracy. The calibration problem is formulated as a bi-level constrained optimization problem and an iterative solution algorithm is proposed. A case study in a highly congested urban area of Beijing using DynaMIT-P is conducted and the combined calibration method improves the fits to surveillance data compared to the calibration based on aggregate measurements only. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Moshe Ben-Akiva & Song Gao & Lu Lu & Yang Wen, 2015. "DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model," Networks and Spatial Economics, Springer, vol. 15(3), pages 559-581, September.
    • Handle: RePEc:kap:netspa:v:15:y:2015:i:3:p:559-581
    DOI: 10.1007/s11067-014-9232-z
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    References listed on IDEAS

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    Cited by:

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    4. Maryam Abareshi & Mehdi Zaferanieh & Bagher Keramati, 2017. "Path Flow Estimator in an Entropy Model Using a Nonlinear L-Shaped Algorithm," Networks and Spatial Economics, Springer, vol. 17(1), pages 293-315, March.

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