A Short-Term Hybrid TCN-GRU Prediction Model of Bike-Sharing Demand Based on Travel Characteristics Mining

A Short-Term Hybrid TCN-GRU Prediction Model of Bike-Sharing Demand Based on Travel Characteristics Mining

This paper proposes an accurate short-term prediction model of bike-sharing demand with the hybrid TCN-GRU method. The emergence of shared bicycles has provided people with a low-carbon, green and healthy way of transportation. However, the explosive growth and free-form development of bike-sharing...

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Bibliographic Details
Main Authors: Shenghan Zhou, Chaofei Song, Tianhuai Wang, Xing Pan, Wenbing Chang, Linchao Yang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Entropy
Subjects:
short-term demand prediction
bike-sharing
travel characteristics analysis
hybrid TCN-GRU model
Online Access:https://www.mdpi.com/1099-4300/24/9/1193

Internet

https://www.mdpi.com/1099-4300/24/9/1193

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