Estimating Bus Passenger Mobility with Wi-Fi Data and Clustering - Archive ouverte HAL
Article Dans Une Revue Transportation Research Procedia Année : 2024

Estimating Bus Passenger Mobility with Wi-Fi Data and Clustering

Résumé

Thanks to Wi-Fi technology, it is possible to gather passive mobility data over a long time and to analyze travel behaviors variability. However, the main challenge is to identify relevant data, in a way that is efficient whatever the chosen period of network. Our research evaluates the replicability of a method, based on a partitioning algorithm, that allows to identify signals emitted by passengers from those emitted by non-passengers automatically. The findings show that this algorithm is easily replicable and useful to study individual mobility from passive data. It is hence a good opportunity for understanding travel demand.

Dates et versions

halshs-04659989 , version 1 (23-07-2024)

Identifiants

Citer

Léa Fabre, Caroline Bayart, Patrick Bonnel, Nicolas Mony. Estimating Bus Passenger Mobility with Wi-Fi Data and Clustering. Transportation Research Procedia, 2024, Part of special issue : 12th International Conference on Transport Survey Methods, 76, pp.445-457. ⟨10.1016/j.trpro.2023.12.067⟩. ⟨halshs-04659989⟩
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