Exploring pedestrian bluetooth and WiFi detection at public transportation terminals

Neveen Shlayan, Abdullah Kurkcu, Kaan Ozbay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This is an on-going study that explores the potential benefits of using pedestrian data for evaluation and enhancement of public transportation. The research team proposes the utilization of Bluetooth (BT) andWiFi technologies to estimate time-dependent origin-destination (OD) demands and station wait-Times of transit bus and subway users. The detection approach and a complete system design are discussed in this paper. Preliminary results from multiple pilot field studies, that were conducted at some of the major New York City (NYC) public transportation facilities, are also presented. The main objective of this study is to inquire into the various ways this extensive transit rider data can be used and to establish a general framework through data-driven pedestrian modeling within transit stations that renders estimation of key parameters and strategic control of public transportation services possible.

Original languageEnglish (US)
Title of host publication2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages229-234
Number of pages6
ISBN (Electronic)9781509018895
DOIs
StatePublished - Dec 22 2016
Event19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016 - Rio de Janeiro, Brazil
Duration: Nov 1 2016Nov 4 2016

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

Other19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016
Country/TerritoryBrazil
CityRio de Janeiro
Period11/1/1611/4/16

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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