Free-floating bike sharing systems are an emerging new generation of bike rentals, that eliminates the needfor specific stations and allows to leave a bicycle (almost) everywhere in the network. Although free-floating bikes allow much greater spontaneity and flexibility for the user, they need additional operationalchallenges especially in facing the bike relocation process. Then, we suggest a methodology able togenerate spatio-temporal clusters of the usage patterns of the available bikes in every zone of the city,forecast the bicycles use trend (by means of Non-linear Autoregressive Neural Networks) for each cluster,and consequently enhance and simplify the relocation process in the network.

Spatio-temporal Clustering and Forecasting method for Free-Floating Bike Sharing Systems / Caggiani, Leonardo; Ottomanelli, Michele; Camporeale, Rosalia; Binetti, Mario. - STAMPA. - 539:(2017), pp. 244-254. [10.1007/978-3-319-48944-5_23]

Spatio-temporal Clustering and Forecasting method for Free-Floating Bike Sharing Systems

Leonardo Caggiani
Membro del Collaboration Group
;
Michele Ottomanelli
Membro del Collaboration Group
;
Rosalia Camporeale
Membro del Collaboration Group
;
Mario Binetti
Membro del Collaboration Group
2017-01-01

Abstract

Free-floating bike sharing systems are an emerging new generation of bike rentals, that eliminates the needfor specific stations and allows to leave a bicycle (almost) everywhere in the network. Although free-floating bikes allow much greater spontaneity and flexibility for the user, they need additional operationalchallenges especially in facing the bike relocation process. Then, we suggest a methodology able togenerate spatio-temporal clusters of the usage patterns of the available bikes in every zone of the city,forecast the bicycles use trend (by means of Non-linear Autoregressive Neural Networks) for each cluster,and consequently enhance and simplify the relocation process in the network.
2017
Advances in Systems Science : Proceedings of the International Conference on Systems Science 2016 (ICSS 2016)
978-3-319-48943-8
Springer
Spatio-temporal Clustering and Forecasting method for Free-Floating Bike Sharing Systems / Caggiani, Leonardo; Ottomanelli, Michele; Camporeale, Rosalia; Binetti, Mario. - STAMPA. - 539:(2017), pp. 244-254. [10.1007/978-3-319-48944-5_23]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/84709
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