Urban Road Network Traffic Speed Prediction Model Based on Global Spatio-Temporal Characteristics

Urban road network traffic speed prediction is an important aspect of Intelligent Transportation System(ITS) and is of great significance in improving road capacity by providing real-time traffic information for travelers.The existing prediction model based on the Graph Convolution Network(GCN) stre...

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Bibliographische Detailangaben
1. Verfasser: FENG Siyun, SHI Zhenquan, CAO Yang
Format: Artigo
Sprache:Inglês
Veröffentlicht: Editorial Office of Computer Engineering 2022-05-01
Schriftenreihe:Jisuanji gongcheng
Schlagworte:
intelligent transportation system(its)|traffic speed prediction|graph convolutional network(gcn)|urban road network|global spatio-temporal characteristics
Online Zugang:https://www.ecice06.com/fileup/1000-3428/PDF/20220515.pdf
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