Predicting Citi Bike Demand Evolution Using Dynamic Graphs

• URL: http://arxiv.org/abs/2212.09175v1
• Date: Sun, 18 Dec 2022 21:43:27 GMT
• Title: Predicting Citi Bike Demand Evolution Using Dynamic Graphs
• Authors: Alexander Saff, Mayur Bhandary, Siddharth Srivastava
• Abstract summary: We apply a graph neural network model to predict bike demand in the New York City, Citi Bike dataset. In this paper, we attempt to apply a graph neural network model to predict bike demand in the New York City, Citi Bike dataset.
• Score: 81.12174591442479
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Bike sharing systems often suffer from poor capacity management as a result of variable demand. These bike sharing systems would benefit from models to predict demand in order to moderate the number of bikes stored at each station. In this paper, we attempt to apply a graph neural network model to predict bike demand in the New York City, Citi Bike dataset.

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