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Research Article | Open Access

Formulation and solution for calibrating boundedly rational activity-travel assignment: An exploratory study

Dong Wanga,b, Feixiong Liaob( )
School of Business, Qingdao University, Qingdao, 266071, China
Urban Planning and Transportation Group, Eindhoven University of Technology, De Zaale, PO Box 513, 5600 MB, Eindhoven, the Netherlands
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Abstract

Parameter calibration of the traffic assignment models is vital to travel demand analysis and management. As an extension of the conventional traffic assignment, boundedly rational activity-travel assignment (BR-ATA) combines activity-based modeling and traffic assignment endogenously and can capture the interdependencies between high dimensional choice facets along the activity-travel patterns. The inclusion of multiple episodes of activity participation and bounded rationality behavior enlarges the choice space and poses a challenge for calibrating the BR-ATA models. In virtue of the multi-state supernetwork, this exploratory study formulates the BR-ATA calibration as an optimization problem and analyzes the influence of the two additional components on the calibration problem. Considering the temporal dimension, we also propose a dynamic formulation of the BR-ATA calibration problem. The simultaneous perturbation stochastic approximation algorithm is adopted to solve the proposed calibration problems. Numerical examples are presented to calibrate the activity-based travel demand for illustrations. The results demonstrate the feasibility of the solution method and show that the parameter characterizing the bounded rationality behavior has a significant effect on the convergence of the calibration solutions.

Keywords

Bounded rationalityActivity-travel patternSimultaneous perturbation stochastic approximationParameter calibration

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Communications in Transportation Research
Volume 3,
December 2023
Article number: 100092
DOI: 10.1016/j.commtr.2023.100092
Cite this article:
Wang D, Liao F. Formulation and solution for calibrating boundedly rational activity-travel assignment: An exploratory study. Communications in Transportation Research, 2023, 3: 100092. https://doi.org/10.1016/j.commtr.2023.100092

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Received: 05 September 2022
Revised: 26 December 2022
Accepted: 28 December 2022
Published: 20 January 2023
© 2023 The Authors.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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