DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model
Author(s)
Ben-Akiva, Moshe E.; Gao, Song; Lu, Lu; Wen, Yang
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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.
Date issued
2014-04Department
Massachusetts Institute of Technology. Department of Civil and Environmental EngineeringJournal
Networks and Spatial Economics
Publisher
Springer Science+Business Media
Citation
Ben-Akiva, Moshe, Song Gao, Lu Lu, and Yang Wen. "DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model." Networks and Spatial Economics 15:3 (September 2015), pp 559-581.
Version: Author's final manuscript
ISSN
1566-113X
1572-9427