Bus passenger Origin-Destination Matrix estimation using Automated Data Collection systems

Automatic Data Collection (ADC systems can enhance the ability of transit agencies to obtain useful planning information that was previously too expensive to obtain. This thesis documents the development of an algorithm to estimate a Bus Passenger Trip Origin-Destination Matrix (OD Matrix) based on ADC system archived data including Automated Fare Collection (AFC data, Automatic Passenger Count (APC data, and Automatic Vehicle Location (AVL) data. This algorithm consists of three steps: data preparation, estimation of a Single Route OD Matrices for all routes, and estimation of a Network Level OD Matrix using transfer flow information. The single route OD matrix estimation requires the development of a "seed" matrix derived primarily from AFC data and the "marginal" control totals, i.e. the boarding and alighting counts, derived primarily from APC data. Both Iterative Proportional Fitting (IPF) and Maximum Likelihood Estimation (LE) techniques are used to estimate the single route OD matrices based on seed matrices and marginal values, and the results from these two techniques are compared. For the network level OD matrix estimation, we estimate the transfer flows by considering the consecutive transactions from AFC data.

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

2006

Author dc:creator

• Cui, Alex

Advisor dc:contributor.advisor

• Nigel H.M. Wilson.

• 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/1721.1/37970

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/37970