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

TitleEstimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems
Publication TypeJournal Article
Year of Publication2007
AuthorsJinhua Zhao, Adam Rahbee, Nigel Wilson
JournalComputer-Aided Civil and Infrastructure Engineering
Volume22
Issue5
Pagination376–387
KeywordsAutomatic data collection, origin-destination, Transit
Abstract

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.

URLhttp://onlinelibrary.wiley.com/doi/10.1111/j.1467-8667.2007.00494.x/abstract
DOI10.1111/j.1467-8667.2007.00494.x

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Advanced Mobility Management, Singapore-MIT Alliance for Research and Technology (SMART)

Singapore-MIT Alliance for Research and Technology (SMART), 2016-2020

As part of the Future Urban Mobility (FM) IRG of the Singapore-MIT Alliance for Research and Technology (SMART), the team led by Prof. Zhao combine behavioral science and transportation technology to envision a future urban mobility system for Singapore that integrates public transit, walking and bicycling, shared mobility and autonomous vehicles.  Read More