DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model
Name
11067_2014_9232_ReferencePDF.pdf
Size
746.82 KB
Format
Adobe PDF
Checksum (MD5)
888857c610329b79e98cd1a31f62d8ed
Author(s)
Ben-Akiva, Moshe E.
Gao, Song
Lu, Lu
Wen, Yang
Date Issued
April 2014
Journal
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
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.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s11067-014-9232-z
