dc.contributor.author | Ben-Akiva, Moshe E. | |
dc.contributor.author | Gao, Song | |
dc.contributor.author | Lu, Lu | |
dc.contributor.author | Wen, Yang | |
dc.date.accessioned | 2016-06-17T16:57:54Z | |
dc.date.available | 2016-06-17T16:57:54Z | |
dc.date.issued | 2014-04 | |
dc.identifier.issn | 1566-113X | |
dc.identifier.issn | 1572-9427 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/103140 | |
dc.description.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. | en_US |
dc.publisher | Springer Science+Business Media | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1007/s11067-014-9232-z | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | Springer US | en_US |
dc.title | DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model | en_US |
dc.type | Article | en_US |
dc.identifier.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. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering | en_US |
dc.contributor.mitauthor | Ben-Akiva, Moshe E. | en_US |
dc.contributor.mitauthor | Lu, Lu | en_US |
dc.relation.journal | Networks and Spatial Economics | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2016-05-23T12:17:26Z | |
dc.language.rfc3066 | en | |
dc.rights.holder | Springer Science+Business Media New York | |
dspace.orderedauthors | Ben-Akiva, Moshe; Gao, Song; Lu, Lu; Wen, Yang | en_US |
dspace.embargo.terms | N | en |
mit.license | OPEN_ACCESS_POLICY | en_US |
mit.metadata.status | Complete | |