BriefGPT.xyz
Mar, 2022
基于跨模态知识共享的自行车共享需求预测:一种基于图的深度学习方法
Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach
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Yuebing Liang, Guan Huang, Zhan Zhao
TL;DR
本研究提出了一种基于图的深度学习方法(B-MRGNN)来预测单车共享需求,并利用多模式历史数据作为输入,在不同交通模式之间建立空间依赖性,实验结果表明比现有方法具有更好的性能。
Abstract
bike sharing
is an increasingly popular part of urban transportation systems. Accurate
demand prediction
is the key to support timely re-balancing and ensure service efficiency. Most existing models of bike-shari
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