TY - JOUR
T1 - Temporal Signatures of Passive Wi-Fi Data for Estimating Bus Passenger Waiting Time at a Single Bus Stop
AU - Wepulanon, Piyanit
AU - Sumalee, Agachai
AU - Lam, William H.K.
N1 - Funding Information:
Manuscript received September 20, 2018; revised January 30, 2019 and May 24, 2019; accepted June 21, 2019. Date of publication July 12, 2019; date of current version July 29, 2020. This work was supported in part by the Research Grants Council of the Hong Kong Special Administrative Region under Grant PolyU 152101/17E and Grant R5029-18, and in part by the Research Committee of The Hong Kong Polytechnic University under Grant 1-BBAR, Grant 1-ZVFJ, and Grant 4-ZZFY. The Associate Editor for this paper was A. Che. (Corresponding author: Piyanit Wepulanon.) The authors are with the Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong (e-mail: [email protected]; [email protected]; [email protected]). Digital Object Identifier 10.1109/TITS.2019.2926577
Publisher Copyright:
© 2000-2011 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/8
Y1 - 2020/8
N2 - 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.
AB - 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.
KW - Average waiting time (AWT)
KW - bus stop based waiting time
KW - opportunistic data
KW - passenger waiting time estimation
UR - http://www.scopus.com/inward/record.url?scp=85089870160&partnerID=8YFLogxK
U2 - 10.1109/TITS.2019.2926577
DO - 10.1109/TITS.2019.2926577
M3 - Journal article
AN - SCOPUS:85089870160
SN - 1524-9050
VL - 21
SP - 3366
EP - 3376
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 8
M1 - 8760394
ER -