Demonstrating the feasibility of using Wi-Fi sensors for dynamic bus-stop queue length estimation

Hyungsub Jee (), Wenzhe Sun (), Jan-Dirk Schmöcker () and Toshiyuki Nakamura ()
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Hyungsub Jee: Kyoto University
Wenzhe Sun: Kyoto University
Jan-Dirk Schmöcker: Kyoto University
Toshiyuki Nakamura: Gifu University

Public Transport, 2024, vol. 16, issue 3, No 3, 698 pages

Abstract: Abstract We demonstrate that a Wi-Fi sensor located at a bus stop can be used to estimate the current queue length of passengers waiting for the bus. These crowdsourced data are hence a cost-effective source to obtain information on transit demand. Based on the observed queue lengths we further estimate the resulting waiting time for passengers for each line that serves the stop. This information can be used to evaluate the impact of operational strategies. Our experiments are conducted at a busy bus stop in Kyoto, Japan, during the peak tourist season. The estimated regression and machine learning approaches show that both randomised and non-randomised MAC addresses as well as the received signal strengths are important indicators for the queue length. We discuss the limitations of the approach if applied in other contexts with less organised crowding and more noise than in our experiment.

Keywords: Waiting time estimation; Bus stop; Passenger queue; Time-dependent arrival rates; Wi-Fi signal data (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s12469-023-00336-5

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