Hidden content of passenger data in public transport

Nowadays, data sets are spreading continually, generated by different devices and systems. In most cases, these data are stored, and the service providers don't use the information they contain, what even more they delete these data to save space. However, these data are processable with the modern devices and methods, and the authors can use them for obtaining information. This paper presents a possible application of the digital raw materials, taking the public transport passengers boarding and alighting information as a base. Based on these, the authors are able to deduce the characteristics of the stop point's environment since the different land usage yields dissimilar stop usage with well-defined peak hours. With the help of distance measurement and classification techniques it is possible to define how similar are the stop points to predefined patterns and the authors can create stop point groups which define separated zones. The paper shows a usage method of distance measurement methods and classification in public transportation and presents the background of this kind of land-use zone distribution technic.

• Record URL:
  https://doi.org/10.1016/j.procs.2017.05.320
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877050917309845
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • © 2017 Viktor Nagy and Balázs Horváth. Published by Elsevier B.V. 8th International Conference on Ambient Systems, Networks and Technologies (ANT 2017)
• Authors:
  • Nagy, Viktor
  • Horváth, Balázs
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References;
• Pagination: pp 506-512
• Serial:
  • Procedia Computer Science
  • Volume: 109
  • Publisher: Elsevier
  • ISSN: 1877-0509
  • Serial URL: http://www.sciencedirect.com/science/journal/18770509
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Boarding and alighting; Data analysis; Data collection; Land use; Passengers; Public transit
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Public Transportation;

Filing Info

• Accession Number: 01640060
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 29 2017 5:06PM