Calibration of the demand simulator in a dynamic traffic assignment system

In this thesis, we present a methodology to jointly calibrate the O-D estimation and prediction and driver route choice models within a Dynamic Traffic Assignment (DTA) system using several days of traffic sensor data. The methodology for the calibration of the O-D estimation module is based on an existing framework adapted to suit the sensor data usually collected from traffic networks. The parameters to be calibrated include a database of time-varying historical O-D flows, variance-covariance matrices associated with measurement errors, a set of autoregressive matrices that capture the spatial and temporal inter-dependence of O-D flows, and the route choice model parameters. Issues involved in calibrating route choice models in the absence of disaggregate data are identified, and an iterative framework for jointly estimating the parameters of the O-D estimation and route choice models is proposed. The methodology is applied to a study network extracted from the Orange County region in California. The feasibility and robustness of the approach are indicated by promising results from validation tests.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2002

Author dc:creator

• Balakrishna, Ramachandran, 1978-

Advisor dc:contributor.advisor

• Moshe E. Ben-Akiva and Haris N. Koutsopoulos.

• Civil and Environmental Engineering.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/30351

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/30351