Estimating pedestrian walking time on campus based on wi-fi detection data

Z. Li, W. H.K. Lam, P. Wepulanon, Z. Qin

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Pedestrian travel time is important to the planning and design of pedestrian facilities particularly in high density populated urban areas. With the increasing use of portable electronic devices, the Wi-Fi detection data becomes a promising data source to estimate pedestrian activity patterns. The Media Access Control (MAC) address is a unique signature for each electronic device. In this study, we would make use of these Wi-Fi detection data to extract the pedestrian walking time of crossing a pedestrian tunnel that connects the Phase 8 building to the main campus of the Hong Kong Polytechnic University (PolyU). A data filtering framework is proposed to filter out noisy detections so as to extract the relevant Wi-Fi data. It follows with an efficient solution algorithm to estimate the pedestrian walking time from multiple detection records. Both the means and the variations of walking time are analyzed. The temporal characteristics of pedestrian flow patterns are discussed.

Original languageEnglish
Title of host publicationTransport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017
EditorsAnthony Chen, Tony N.N. Sze
PublisherHong Kong Society for Transportation Studies Limited
Pages233-240
Number of pages8
ISBN (Electronic)9789881581464
Publication statusPublished - 1 Jan 2017
Event22nd International Conference of Hong Kong Society for Transportation Studies: Transport and Society, HKSTS 2017 - Hong Kong, Hong Kong
Duration: 9 Dec 201711 Dec 2017

Publication series

NameTransport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017

Conference

Conference22nd International Conference of Hong Kong Society for Transportation Studies: Transport and Society, HKSTS 2017
Country/TerritoryHong Kong
CityHong Kong
Period9/12/1711/12/17

Keywords

  • Filtering
  • MAC address
  • Walking time
  • Wi-Fi

ASJC Scopus subject areas

  • Transportation

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