Route-Level Transit Passenger Origin-Destination Trip Estimation from Automatic Passenger Counting Data: A Case Study in Edmonton

  • Author / Creator
    Lan, Cheng
  • Transit passenger origin-destination (OD) trip estimation is very important for transit planning, service management and operation analysis. The traditional method to conduct transit OD trip estimation requires on-board surveys to collect passenger on-off data, which are time-consuming, expensive and usually by-products of other comprehensive censuses which may take place in a very low frequency. The Automatic Data Collection (ADC) systems, including Automatic Vehicle Location (AVL) system, Automatic Passenger Counting (APC) system and Automatic Fare Collection (AFC) system, can collect passenger boarding and alighting counts frequently and have a much larger coverage than on-board surveys. In this thesis, data structure and methods of preprocessing APC data are discussed; route-level transit passenger OD trip estimation methods using APC data are reviewed and applied to the APC data of the Route 1 of the Edmonton Transit System (ETS). The analysis in this thesis shows those methods can produce similar results, but they have strengths and drawbacks. This thesis compares them and makes recommendations for practical applications. Besides, this thesis reviews and implements the stop grouping method to group similar stops along the Route 1 of ETS. The result stop group configuration synthesizes important flow patterns along the Route 1 which is more useful for transit agencies than stop-to-stop OD trip estimations.

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  • Graduation date
  • Type of Item
  • Degree
    Master of Science
  • DOI
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.