Didi Tech

Jul 16, 2020 · Operations

When Recommender Systems Meet Fleet Management: A Practical Study on Online Driver Repositioning

The paper describes Didi’s online driver‑repositioning system that treats idle‑driver dispatch as a recommender problem, generating candidate destinations, scoring tasks with a marginal‑gain model, and selecting optimal assignments via a minimum‑cost‑flow optimizer, which in live A/B tests boosted driver efficiency, earnings, and satisfaction while reducing empty cruising.