Optimizing and predicting availability of resources in a shared vehicle environment
Number of patents in Portfolio can not be more than 2000
United States of America
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Feb 25, 2025
Grant Date -
Dec 31, 2020
app pub date -
Mar 16, 2018
filing date -
Mar 16, 2018
priority date (Note) -
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Abstract
An intelligent bicycle sharing system, or other vehicle sharing system, is able to provide helpful bicycle availability predictions based on historical data, including various utilization statistics. Historical data can be collected over time as users use the bicycle sharing system. For example, the historical data may include the number of available bicycles at various locations and times, as well as contextual data associated with the locations and times. Contextual data may include data regarding the weather, local events, season, day of the week or year, news events, among other environmental factors that may or may not influence bicycle utilization. In some embodiments, a model, such as a machine learning model (e.g., neural network) may be trained using the historical data as training data such that the model can predict bicycle availability for a certain future time and location.
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