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20142020
most citedShort-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach

743 citations · 994 across the 8 of their papers we have counts for

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Showing 2019 · cs.MAShow all

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cs.MA2019★ 30 cited

Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning

Jintao Ke, Feng Xiao, Hai Yang +1

Ride-sourcing services are now reshaping the way people travel by effectively connecting drivers and passengers through mobile internets. Online matching between idle drivers and w…