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Didi Tech

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Recent Articles

Latest from Didi Tech

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Didi Tech
Didi Tech
May 23, 2023 · Artificial Intelligence

Driver‑Passenger Matching in Didi’s Ride‑Hailing Market: Algorithms and Techniques

The article surveys Didi’s driver‑passenger matching challenges and presents a suite of solutions—from greedy nearest‑driver and Kuhn‑Munkres bipartite matching to stable marriage, dynamic and one‑to‑many assignments, reinforcement‑learning, routing and queueing models—while validating assumptions statistically, integrating preference‑aware machine learning, and outlining multi‑objective and digital‑twin future research.

OptimizationRide Hailingalgorithm
0 likes · 23 min read
Driver‑Passenger Matching in Didi’s Ride‑Hailing Market: Algorithms and Techniques
Didi Tech
Didi Tech
May 9, 2023 · Artificial Intelligence

An Introduction to Didi’s Marketplace: Mechanism Design, Decision Intelligence, Operations Research, Reinforcement Learning, and Causal Inference

The article introduces Didi’s large‑scale ride‑hailing marketplace, explaining how mechanism design, decision intelligence, operations research, reinforcement learning, and causal inference are combined to create fair, efficient, data‑driven matching, routing, and incentive systems that tackle massive two‑sided market challenges.

Dididecision intelligencemarketplace
0 likes · 17 min read
An Introduction to Didi’s Marketplace: Mechanism Design, Decision Intelligence, Operations Research, Reinforcement Learning, and Causal Inference
Didi Tech
Didi Tech
Jul 1, 2021 · Big Data

Full-Chain Traffic Data Detection in DiDi's Omega Platform

DiDi’s Omega platform provides an end‑to‑end traffic‑data pipeline—from SDK collection through real‑time and offline ETL to storage and analysis—augmented by a detection service that measures loss, duplication and accuracy, achieving sub‑1% SDK loss, integrity tagging, comprehensive monitoring dashboards, and includes a senior data‑engineer hiring call.

Data QualityOmega Platformdata pipeline
0 likes · 9 min read
Full-Chain Traffic Data Detection in DiDi's Omega Platform
Didi Tech
Didi Tech
Jun 22, 2021 · Frontend Development

How Tenon Extends Hummer to Bridge Vue/React with Native: A Deep Dive

Tenon is a lightweight MVVM framework built on Didi's Hummer runtime that bridges the Web ecosystem (Vue 3 and React) with native Android and iOS, offering multi‑framework support, easy adoption, extensible plugins, high availability, and a three‑layer architecture illustrated by real‑world Didi case studies.

Cross-platformHummerMVVM
0 likes · 8 min read
How Tenon Extends Hummer to Bridge Vue/React with Native: A Deep Dive
Didi Tech
Didi Tech
Jun 11, 2021 · Frontend Development

Design and Implementation of a Real-Time Data Visualization Large Screen Using WebGL and a Custom Map Framework

The article details DiDi’s development of a real‑time, large‑screen data‑visualization system built on a custom WebGL‑based map framework, describing how they tackled one‑time map loading, massive data compression, and high‑performance rendering of trajectories, bubbles, heatmaps, flight lines and animated scatter points, supported by interactive debugging tools.

Data VisualizationReal-time RenderingThree.js
0 likes · 27 min read
Design and Implementation of a Real-Time Data Visualization Large Screen Using WebGL and a Custom Map Framework
Didi Tech
Didi Tech
Jun 4, 2021 · Artificial Intelligence

Graph Convolutional Network for Shared Bike Demand Forecasting: Time Series Modeling and Multi‑Task Learning

The paper presents a graph convolutional network approach that leverages multi‑task learning and spectral graph convolutions to forecast shared‑bike inflow, outflow, and demand gaps across a city’s non‑Euclidean parking network, demonstrating improved accuracy over traditional time‑series baselines while noting scalability and directional graph limitations.

Demand ForecastingGCNGraph Neural Network
0 likes · 13 min read
Graph Convolutional Network for Shared Bike Demand Forecasting: Time Series Modeling and Multi‑Task Learning
Didi Tech
Didi Tech
May 25, 2021 · Industry Insights

Becoming a Technical Superstar: Patterns, Deliberate Practice, and Persistence

The article shares a senior DiDi engineer's perspective on how engineers can overcome growth anxiety, adopt deliberate practice, build deep domain knowledge through work‑centered learning, and persistently refine coding and troubleshooting skills to become true technical leaders.

Learning Methodologycareer growthdeliberate practice
0 likes · 16 min read
Becoming a Technical Superstar: Patterns, Deliberate Practice, and Persistence
Didi Tech
Didi Tech
May 21, 2021 · Fundamentals

Introduction to Causal Inference and Its Application in Ride‑Hailing Business

The article introduces causal inference for ride‑hailing businesses, explaining the difference between causality and correlation, common misconceptions, and how randomized experiments and observational techniques like propensity‑score matching can quantify effects of actions such as coupons, driver assignments, and platform growth decisions.

Ride Hailingbusiness decisioncausal inference
0 likes · 7 min read
Introduction to Causal Inference and Its Application in Ride‑Hailing Business