Is there any best practice principles to estimate bus alighting passengers from incomplete smart card transactions?

Promoting the accuracy and coverage of the alighting of passengers in public transport is essential to support route planning and policy decisions aiming to sustainable mobility. Although previous studies place several principles for alighting estimation from incomplete smart card data, most remain dispersed and address one single mode. These gaps hinder a comprehensive comparison of the success rates of existing alighting algorithms. To address the above challenges, this work assesses side-by-side state-of-the-art principles for alight stop inference using smart card data from multimodal transport networks. To the authors' best knowledge, this research is the first incrementally measuring the impact of each principle present in the literature. It further discusses uncertainty factors and proposes a confidence metric on the estimated alighted stops.

• Record URL:
  • https://doi.org/10.1016/j.trpro.2023.11.780
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2352146523010785
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2023 The Author(s). Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Cerqueira, Sofia
  • Arsenio, Elisabete
  • Henriques, Rui
• Conference:
  • Transport Research Arena Conference (TRA Lisbon 2022)
  • Location: Lisbon , Portugal
  • Date: 2022-11-14 to 2022-11-17
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 3395-3402
• Serial:
  • Transportation Research Procedia
  • Volume: 72
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Alighting; Bus transit operations; Data collection; Multimodal transportation; Passenger handling; Smart cards
• Geographic Terms: Lisbon (Portugal)
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Public Transportation;

Filing Info

• Accession Number: 01912778
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 21 2024 5:05PM