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DiDi deploys EXHOLD to enhance ride-hailing matching efficiency

Researchers have developed EXHOLD, a novel two-stage framework for optimizing ride-hailing matching systems. This system aims to improve both passenger and driver experience by intelligently delaying certain driver-order pairings. The framework first assesses pairs based on aggregated satisfaction signals and then determines an optimal hold-time schedule to maximize overall experience while adhering to service guardrails. EXHOLD has been successfully deployed in DiDi's production system in Brazil, demonstrating significant improvements in trip completion, driver income, and a reduction in passenger cancellations. AI

IMPACT This framework could set a new standard for optimizing matching algorithms in large-scale service industries, improving efficiency and user satisfaction.

RANK_REASON The cluster describes a research paper detailing a new framework and its deployment in a production system.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

DiDi deploys EXHOLD to enhance ride-hailing matching efficiency

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The cluster describes a research paper detailing a new framework and its deployment in a production system.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Xu Liu, Kai Wan, Zihao Lu ·

    EXHOLD: Experience-Aware Real-Time Hold Control for Large-Scale Ride-Hailing Matching at DiDi

    arXiv:2607.09090v1 Announce Type: new Abstract: In large-scale ride-hailing, hold control is a critical mechanism for improving passenger-driver experience. By selectively delaying certain driver-order pairs, the system waits for better opportunities, reduces cancellations, and m…

  2. arXiv cs.LG TIER_1 English(EN) · Zihao Lu ·

    EXHOLD: Experience-Aware Real-Time Hold Control for Large-Scale Ride-Hailing Matching at DiDi

    In large-scale ride-hailing, hold control is a critical mechanism for improving passenger-driver experience. By selectively delaying certain driver-order pairs, the system waits for better opportunities, reduces cancellations, and mitigates wasted driver effort. However, existing…