Modelling busway station dwell time using smart cards
Widana Pathiranage, Rakkitha, Bunker, Jonathan M., & Bhaskar, Ashish (2013) Modelling busway station dwell time using smart cards. In Australasian Transport Research Forum 2013 Proceedings, Australasian Transport Research Forum, Queensland University of Technology, Brisbane, QLD.
Dwell time at the busway station has a significant effect on bus capacity and delay. Dwell time has conventionally been estimated using models developed on the basis of field survey data. However field survey is resource and cost intensive, so dwell time estimation based on limited observations can be somewhat inaccurate.
Most public transport systems are now equipped with Automatic Passenger Count (APC) and/or Automatic Fare Collection (AFC) systems. AFC in particular reduces on-board ticketing time, driver’s work load and ultimately reduces bus dwell time. AFC systems can record all passenger transactions providing transit agencies with access to vast quantities of data.
AFC data provides transaction timestamps, however this information differs from dwell time because passengers may tag on or tag off at times other than when doors open and close. This research effort contended that models could be developed to reliably estimate dwell time distributions when measured distributions of transaction times are known. Development of the models required calibration and validation using field survey data of actual dwell times, and an appreciation of another component of transaction time being bus time in queue. This research develops models for a peak period and off peak period at a busway station on the South East Busway (SEB) in Brisbane, Australia.
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|Item Type:||Conference Paper|
|Keywords:||Busway Station, Dwell Time, Smart Cards, Automatic Fare Collection, South East Busway|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)|
|Divisions:||Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Current > Research Centres > Smart Transport Research Centre
|Copyright Owner:||Copyright 2013 Queensland University of Technology|
|Deposited On:||09 Oct 2013 23:22|
|Last Modified:||27 May 2015 04:41|
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