2026-09-18T21:15:08Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/336922022-01-13T07:54:23Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Moshe E. Ben-Akiva.
Gupta, Ashish, S.M. Massachusetts Institute of Technology
Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
2006-07-31T15:24:12Z
2006-07-31T15:24:12Z
2005
2005
http://hdl.handle.net/1721.1/33692
64636919
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2005.
Includes bibliographical references (p. 145-148).
The estimation of dynamic Origin-Destination (O-D) matrices from aggregated sensor counts is one of the most important and well-researched problems in Dynamic Traffic Assignment (DTA) systems. In practice, more often than not, number of sensors are far less than the number of potential O-D pairs, and hence this problem is modeled in an optimization framework as function of historical estimates of O-D flows. However, in the absence of reliable historical O-D flows, it is critical that O-D estimation module is observable. Observability is defined as a property of the system by which it is possible to uniquely determine the (initial) state (O-D flows) of the system eventually by making regular indirect measurements of the state. In DTA systems, observability implies that given enough sensor data, it is possible to uniquely determine O-D flows without any prior information about them. This thesis develops a methodology to verify the observability property of the O-D estimation model given limited sensor coverage on the network. A case study involving a large-scale network from Los Angeles, California is used to demonstrate the feasibility of the proposed approach.
(cont.) A comprehensive off-line calibration exercise for the same network is then used to verify the validity of the conclusion.
by Ashish Gupta.
S.M.
148 p.
7178313 bytes
7184499 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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
Civil and Environmental Engineering.
Observability of Origin-Destination matrices for Dynamic Traffic Assignment
Observability of O-D matrices for DTA
Thesis
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<Abstract>The estimation of dynamic Origin-Destination (O-D) matrices from aggregated sensor counts is one of the most important and well-researched problems in Dynamic Traffic Assignment (DTA) systems. In practice, more often than not, number of sensors are far less than the number of potential O-D pairs, and hence this problem is modeled in an optimization framework as function of historical estimates of O-D flows. However, in the absence of reliable historical O-D flows, it is critical that O-D estimation module is observable. Observability is defined as a property of the system by which it is possible to uniquely determine the (initial) state (O-D flows) of the system eventually by making regular indirect measurements of the state. In DTA systems, observability implies that given enough sensor data, it is possible to uniquely determine O-D flows without any prior information about them. This thesis develops a methodology to verify the observability property of the O-D estimation model given limited sensor coverage on the network. A case study involving a large-scale network from Los Angeles, California is used to demonstrate the feasibility of the proposed approach.</Abstract>
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