DataFunTalk
Aug 9, 2020 · Operations
A Practical Framework for Online Driver Repositioning to Balance Supply and Demand in Ride‑Hailing Platforms
This article presents a three‑stage, data‑driven framework for online driver repositioning that generates candidate dispatch tasks, scores them using a marginal gain model, and selects optimal tasks via a minimum‑cost flow planning algorithm, demonstrating significant improvements in driver efficiency and experience through large‑scale A/B experiments.
AB testingdriver repositioningfleet management
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