Journal Paper
Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems

Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems

Automatic data collection (ADC) systems are becoming increasingly common in transit systems throughout the world. Although these ADC systems are often designed to support specific fairly narrow functions, the resulting data can have wide-ranging application, well beyond their design purpose. This paper illustrates the potential that ADC systems can provide transit agencies with new rich data sources at low marginal cost, as well as the critical gap between what ADC systems directly offer and what is needed in practice in transit agencies. To close this gap requires data processing and analysis methods with support of technologies such as Database Management System (DBMS) and Geographic Information System (GIS). This research presents a case study of the Automatic Fare Collection (AFC) system of the Chicago Transit Authority (CTA) rail system and develops a method for inferring rail passenger trip origin-destination (OD) matrices from an origin-only AFC system to replace expensive passenger OD surveys. A software tool is developed to facilitate the method implementation and the results of the application in CTA are reported. (full paper)

abstract

Title Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems
Authors Jinhua Zhao, Adam Rahbee, Nigel Wilson
Type of Publication
Journal Paper
Journal
Computer-Aided Civil and Infrastructure Engineering
Volume
22
Issue
5
DOI
10.1111/j.1467-8667.2007.00494.x
Date of Publication
Jul 1, 2007

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