Sorath Asnani
Predicting Bicycle Availability By Means Of Data Mining Algorithms.
Rel. Paolo Garza, Luca Cagliero, Silvia Anna Chiusano. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2018
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Abstract
The concerns about global warming, air and noise pollutions, unstable fuel prices and road safety have caused policy makers to examine the need for sustainable means of transport. In the context of better urban mobility systems, the public Bicycle Sharing Systems (BSSs) have seen a great development in recent years. Community shared bicycle programs are being promoted all over the world as a “green” transportation system.A BSS is an innovative transportation service, usually aimed for short-distance trips. The core idea of a BSS is that a user takes a bicycle from station A, uses that bike to travel to another location and returns the bicycle at station B.
Community shared bicycling programs offer an environmentally friendly and inexpensive means of inner-city transportation.BSSs have some problems related to limited number of bicycles and limited number of free slots in stations
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