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Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems
Author(s) -
Zhao Jinhua,
Rahbee Adam,
Wilson Nigel H. M.
Publication year - 2007
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/j.1467-8667.2007.00494.x
Subject(s) - data collection , transit (satellite) , computer science , geographic information system , rail transit , transport engineering , public transport , database , engineering , geography , statistics , remote sensing , mathematics
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 article 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 systems (DBMS) and geographic information systems (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.