Temporal Signatures of Passive Wi-Fi Data for Estimating Bus Passenger Waiting Time at a Single Bus Stop

Piyanit Wepulanon, Agachai Sumalee, William H.K. Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper proposes an alternative method for bus passenger waiting time estimation using passive Wi-Fi data. With the underlying mechanism for Wi-Fi communication, the presence of Wi-Fi enabled devices in a particular area can be passively discoverable. The mobile devices carried by bus passengers can be exploited to estimate passenger waiting time at a bus stop without the passengers' direct participation. Passenger waiting time estimation using such opportunistic data is challenging due to the particular characteristics of the Wi-Fi data collected from bus stop environments. This paper proposes a methodology to handle massive noise in Wi-Fi data and identify the potential Wi-Fi records which are derived from passengers' devices. The filtered data can then be used to estimate passenger waiting time. The Wi-Fi data collected from a bus stop in Hong Kong are used as a case study for evaluating the proposed system. The practicality is investigated in terms of estimation accuracy and insightful analysis.

Original languageEnglish
Article number8760394
Pages (from-to)3366-3376
Number of pages11
JournalIEEE Transactions on Intelligent Transportation Systems
Volume21
Issue number8
DOIs
Publication statusPublished - Aug 2020

Keywords

  • Average waiting time (AWT)
  • bus stop based waiting time
  • opportunistic data
  • passenger waiting time estimation

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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