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Improving Short-Term Bike Sharing Demand Forecast Through an Irregular Convolutional Neural Network
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inferred← citeshttps://doi.org/10.2139/ssrn.4773028openalex-extracted
A Benchmark for Cycling Close Pass Detection from Video Streams
inferred← citeshttps://doi.org/10.2139/ssrn.4836034openalex-extracted
Synchronous Prediction then Instantaneous Optimization for Dynamic Large-Scale Bike-Sharing Repositioning Problem
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124466openalex-snapshot
STVANet: A spatio-temporal visual attention framework with large kernel attention mechanism for citywide traffic dynamics prediction
inferred← citeshttps://doi.org/10.1016/j.jtrangeo.2024.103836openalex-snapshot
Estimation of travel flux between urban blocks by combining spatio-temporal and purpose correlation
inferred← citeshttps://doi.org/10.1051/e3sconf/202454703007openalex-snapshot
Multi orthogonal review of modern demand forecasting lines and computational limitations in Green Urban mobility
inferred← citeshttps://doi.org/10.1061/jtepbs.teeng-8921openalex-snapshot
Modeling Real Demand in Dockless Bike-Sharing Systems: Integrating User Preferences and Behavioral Insights
inferred← citeshttps://doi.org/10.1371/journal.pone.0298684openalex-snapshot
FF-STGCN: A usage pattern similarity based dual-network for bike-sharing demand prediction
inferred← citeshttps://doi.org/10.2139/ssrn.4860917openalex-snapshot
Predicting Short-Term Bike-Sharing Demand at Station Level: A Deep Graph-Based Multi-Task Spatiotemporal Approach
inferred← citeshttps://doi.org/10.2139/ssrn.4903667openalex-snapshot
Predicting Short-Term Bike-Sharing Demand at Station Level: A Semi-Adaptive Graph-Based Multi-Task Spatiotemporal Approach
inferred← citeshttps://doi.org/10.2139/ssrn.5066640openalex-snapshot
The Impact of Machine Learning Forecasting On Strategic Decision-Making for Bike Sharing Systems
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