Building Personalized Transportation Model for Online Taxi-Hailing Demand Prediction

IEEE Transactions on Cybernetics(2021)

引用 32|浏览157
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摘要
The accurate prediction of online taxi-hailing demand is challenging but of significant value in the development of the intelligent transportation system. This article focuses on large-scale online taxi-hailing demand prediction and proposes a personalized demand prediction model. A model with two attention blocks is proposed to capture both spatial and temporal perspectives. We also explored the ...
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关键词
Predictive models,Spatiotemporal phenomena,Feature extraction,Public transportation,Data models,Data mining
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