DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model
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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Springer Science+Business Media
2016
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| Online Access: | http://hdl.handle.net/1721.1/103140 |
| _version_ | 1826196993989410816 |
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| author | Ben-Akiva, Moshe E. Gao, Song Lu, Lu Wen, Yang |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Ben-Akiva, Moshe E. Gao, Song Lu, Lu Wen, Yang |
| author_sort | Ben-Akiva, Moshe E. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T10:41:05Z |
| format | Article |
| id | mit-1721.1/103140 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:41:05Z |
| publishDate | 2016 |
| publisher | Springer Science+Business Media |
| record_format | dspace |
| spelling | mit-1721.1/1031402022-09-27T14:14:14Z DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model Ben-Akiva, Moshe E. Gao, Song Lu, Lu Wen, Yang Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Ben-Akiva, Moshe E. Lu, Lu 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. 2016-06-17T16:57:54Z 2016-06-17T16:57:54Z 2014-04 2016-05-23T12:17:26Z Article http://purl.org/eprint/type/JournalArticle 1566-113X 1572-9427 http://hdl.handle.net/1721.1/103140 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 http://dx.doi.org/10.1007/s11067-014-9232-z Networks and Spatial Economics Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ Springer Science+Business Media New York application/pdf Springer Science+Business Media Springer US |
| spellingShingle | Ben-Akiva, Moshe E. Gao, Song Lu, Lu Wen, Yang DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model |
| title | DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model |
| title_full | DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model |
| title_fullStr | DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model |
| title_full_unstemmed | DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model |
| title_short | DTA2012 Symposium: Combining Disaggregate Route Choice Estimation with Aggregate Calibration of a Dynamic Traffic Assignment Model |
| title_sort | dta2012 symposium combining disaggregate route choice estimation with aggregate calibration of a dynamic traffic assignment model |
| url | http://hdl.handle.net/1721.1/103140 |
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