Generally, assistant agents have been employed to recommend users some goods or services they could be interested in. Moreover, thanks to devices recording user geographical positions, recommendation systems have been developed to propose places to visit. This paper proposes an approach for making an estimate of bikes available at bike stations, hence facilitating the use of such a transport means. I.e. users made aware of bike availability beforehand can choose such a transport mode more easily. By using a fast algorithm analysing data recording all bike movements, we obtain an accurate estimate of where bikes will be in the near future. This is possible by determining the frequent paths of bikes, according to their starting points, and the likely destinations. Thanks to such estimates, users can be alerted beforehand about the desired bike at their preferred bike station. Then, a message will be sent when the bike is in the station. Assistant agents giving such alerts are provided to users as an app on their smartphone.

User assistance for predicting the availability of bikes at bike stations

Cavallaro C.
Primo
;
Tramontana E.
Secondo
2021

Abstract

Generally, assistant agents have been employed to recommend users some goods or services they could be interested in. Moreover, thanks to devices recording user geographical positions, recommendation systems have been developed to propose places to visit. This paper proposes an approach for making an estimate of bikes available at bike stations, hence facilitating the use of such a transport means. I.e. users made aware of bike availability beforehand can choose such a transport mode more easily. By using a fast algorithm analysing data recording all bike movements, we obtain an accurate estimate of where bikes will be in the near future. This is possible by determining the frequent paths of bikes, according to their starting points, and the likely destinations. Thanks to such estimates, users can be alerted beforehand about the desired bike at their preferred bike station. Then, a message will be sent when the bike is in the station. Assistant agents giving such alerts are provided to users as an app on their smartphone.
Assistant agents
Bike-sharing
Forecast
People gathering
Recommendation system
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/540763
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