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Urban ride-hailing demand prediction with multiple spatio-temporal information fusion network

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References

2008Neural network based temporal feature models for short-term railway passenger demand forecasting211 cited
2004Wavelet Packet‐Autocorrelation Function Method for Traffic Flow Pattern Analysis206 cited
2018Trends in Taxi Use and the Advent of Ridehailing, 1995–2017: Evidence from the US National Household Travel Survey206 cited
2018Short‐Term Traffic Speed Forecasting Based on Attention Convolutional Neural Network for Arterials161 cited
2007Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting159 cited

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2023Graph Neural Networks for Intelligent Transportation Systems: A Survey397 cited
2024Comprehensive systematic review of information fusion methods in smart cities and urban environments243 cited
2021Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method187 cited
2025Towards the next generation of Geospatial Artificial Intelligence145 cited

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