The Potential of Wi-Fi Data to Estimate Bus Passenger Mobility - HAL-SHS - Sciences de l'Homme et de la Société Access content directly
Preprints, Working Papers, ... Year : 2022

The Potential of Wi-Fi Data to Estimate Bus Passenger Mobility

Abstract

Using technologies such as Wi-Fi and Bluetooth allows to gather passive mobility data, useful for ensuring the sustainable development of transport infrastructures. The challenge of passive data collection is to be able to identify relevant data. Our research presents interesting solutions for sorting the transmitted signals and reconstructing quality Origin-Destination matrices. Its originality consists not only in comparing the results with those of other data sources, but also in proposing a methodology that can be reproduced. Thanks to a partitioning algorithm, it is possible to automatically distinguish passengers from non-passengers to get transit ridership flow and O-D matrices. The findings show that this algorithm provides concrete and replicable solutions to transport operators for understanding travel demand.
Fichier principal
Vignette du fichier
LAET_Working_Paper_2022_02.pdf (3.36 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

halshs-03721297 , version 1 (12-07-2022)

Identifiers

  • HAL Id : halshs-03721297 , version 1

Cite

Léa Fabre, Caroline Bayart, Patrick Bonnel, Nicolas Mony. The Potential of Wi-Fi Data to Estimate Bus Passenger Mobility. 2022. ⟨halshs-03721297⟩
54 View
175 Download

Share

Gmail Mastodon Facebook X LinkedIn More