Smart Bike System
نویسندگان
چکیده
منابع مشابه
Developing a Smart Service System to Enrich Bike Riders' Experience
Social sensing via mobile apps complements physical sensing (e.g., IoT) by substantially extending the horizon we know about our daily life in real time. This paper discusses how we can integrate physical and social sensing to enable better and smarter services, focusing on enriching riders’ experience of using bike sharing services in New York City. We show how we real time collect, process, a...
متن کاملSmart Bike Sharing System to make the City even Smarter
These last years with the growing population in the smart city demands an efficient transportation sharing (bike sharing) system for developing the smart city. The Bike sharing as we know is affordable, easily accessible and reliable mode of transportation. But an efficient bike sharing capable of not only sharing bike also provides information regarding the availability of bike per station, ro...
متن کاملPredicting Bike Usage for New York City's Bike Sharing System
Bike sharing systems consist of a fleet of bikes placed in a network of docking stations. These bikes can then be rented and returned to any of the docking stations after usage. Predicting unrealized bike demand at locations currently without bike stations is important for effectively designing and expanding bike sharing systems. We predict pairwise bike demand for New York City’s Citi Bike sys...
متن کاملEvolutions of Individuals Use of Lyon's Bike Sharing System
We study how individual use of Vélo’v a bike sharing system located in Lyon, France evolves over time, using a 5-year dataset covering 121,000 long-term distinct users. Users follow two main trajectories. About 60% stay in the system at most one year, showing a low median activity (47 trips). The remaining 40% correspond to more active users (median activity of 96 trips on their first year) tha...
متن کاملProfiling Users of the Velo'v Bike Sharing System
Detecting and characterizing geographical areas that are attractive places for specific people, in specific contexts, is an important but challenging new problem. Mobility traces and their related circumstances can be modeled thanks to an augmented graph in which nodes denote geographic locations and edges are represented by a set of transactions that describe users’ demographic information (e....
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ژورنال
عنوان ژورنال: International Journal of Scientific Research in Computer Science, Engineering and Information Technology
سال: 2020
ISSN: 2456-3307
DOI: 10.32628/cseit206352