Exploring the Impact of Spatiotemporal Granularity on the Demand Prediction of Dynamic Ride-Hailing
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DOI: 10.1109/tits.2022.3216016
Abstract: Dynamic demand prediction is a key issue in ride-hailing dispatching. Many methods have been developed to improve the demand prediction accuracy of an increase in demand-responsive, ride-hailing transport services. However, the uncertainties in predicting ride-hailing… read more here.
Keywords: demand prediction; ride hailing; demand; spatiotemporal granularity ... See more keywords