A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction

13 May 2019 Xiaoyuan Liang Guiling Wang Martin Renqiang Min Yi Qi Zhu Han

In spite of its importance, passenger demand prediction is a highly challenging problem, because the demand is simultaneously influenced by the complex interactions among many spatial and temporal factors and other external factors such as weather. To address this problem, we propose a Spatio-TEmporal Fuzzy neural Network (STEF-Net) to accurately predict passenger demands incorporating the complex interactions of all known important factors... (read more)

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Memory Network
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Convolution
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