Estimation of origin-destination flows for dynamic traffic assignment

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.

Bibliographic Details
Main Author: Brandriss, Josef Joshua, 1977-
Other Authors: Moshe E. Ben-Akiva and Haris N. Koutsopoulos.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/8950
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author Brandriss, Josef Joshua, 1977-
author2 Moshe E. Ben-Akiva and Haris N. Koutsopoulos.
author_facet Moshe E. Ben-Akiva and Haris N. Koutsopoulos.
Brandriss, Josef Joshua, 1977-
author_sort Brandriss, Josef Joshua, 1977-
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
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spelling mit-1721.1/89502019-04-10T08:35:59Z Estimation of origin-destination flows for dynamic traffic assignment Brandriss, Josef Joshua, 1977- Moshe E. Ben-Akiva and Haris N. Koutsopoulos. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001. Includes bibliographical references (p. 107-112). This thesis proposes a framework and method for dynamic origin-destination demand estimation. OD estimation is a critical component of a Dynamic Traffic Assignment system in that it determines the frequencies of drivers' trips through a network. The OD estimation method presented here allows for tunable optimization to three classes of objectives: Assigned traffic flows, deviation from historical data, and relative proportions in historical data. The method can be easily extended to make use of other sources of information such as direct measurements of OD flows from probe vehicles. The framework is extended to allow for nonnegativity and capacity constraints on the OD flows. As OD estimation is intended for use in a real-time setting, computational issues are critical, and several simplifications to increase computational efficiency are propsed and evaluted, called the Exact-Match estimator and the Large-Flow estimator. The algorithms presented are implemented as part of the DynaMIT (Dynamic Network Assignment for the Management of Information to Travelers) traffic estimation and prediction software, which incorporates models for driver route choice and traffic movement simulation. by Josef Joshua Brandriss. S.M. 2005-08-23T16:36:15Z 2005-08-23T16:36:15Z 2001 2001 Thesis http://hdl.handle.net/1721.1/8950 48995293 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 112 p. 6618643 bytes 6618401 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Brandriss, Josef Joshua, 1977-
Estimation of origin-destination flows for dynamic traffic assignment
title Estimation of origin-destination flows for dynamic traffic assignment
title_full Estimation of origin-destination flows for dynamic traffic assignment
title_fullStr Estimation of origin-destination flows for dynamic traffic assignment
title_full_unstemmed Estimation of origin-destination flows for dynamic traffic assignment
title_short Estimation of origin-destination flows for dynamic traffic assignment
title_sort estimation of origin destination flows for dynamic traffic assignment
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/8950
work_keys_str_mv AT brandrissjosefjoshua1977 estimationoforigindestinationflowsfordynamictrafficassignment