Prediction of Urban Taxi Travel Demand by Using Hybrid Dynamic Graph Convolutional Network Model

The efficient and accurate prediction of urban travel demand, which is a hot topic in intelligent transportation research, is challenging due to its complicated spatial-temporal dependencies, dynamic nature, and uneven distribution. Most existing forecasting methods merely considered the static spat...

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Bibliographic Details
Main Authors: Jinbao Zhao, Weichao Kong, Meng Zhou, Tianwei Zhou, Yuejuan Xu, Mingxing Li
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/16/5982