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Alimama Tech
Alimama Tech
Mar 5, 2026 · Artificial Intelligence

How BiCB Revolutionizes Real‑Time Bidding for Live Ads with Light‑Weight Optimization

This article presents the BiCB (Binary Constrained Bidding) algorithm, a lightweight auto‑bidding solution for live advertising that combines optimal bidding formulas derived from linear‑programming dual analysis with traffic‑prediction statistics to achieve near‑optimal performance under budget and CPC constraints.

Online OptimizationTraffic Predictionauto-bidding
0 likes · 17 min read
How BiCB Revolutionizes Real‑Time Bidding for Live Ads with Light‑Weight Optimization
Data Party THU
Data Party THU
Dec 23, 2025 · Artificial Intelligence

How STFAN Revolutionizes Traffic Flow Forecasting with Spatio‑Temporal‑Frequency Attention

This article introduces the Spatio‑Temporal‑Frequency Attention Network (STFAN), a deep‑learning model that fuses graph neural networks, attention mechanisms, and frequency‑domain analysis to capture hidden spatial, temporal, and spectral dependencies in traffic data, achieving superior short‑ and long‑term forecasting performance on real‑world datasets.

STFANTraffic Predictionfrequency analysis
0 likes · 20 min read
How STFAN Revolutionizes Traffic Flow Forecasting with Spatio‑Temporal‑Frequency Attention
Baidu Geek Talk
Baidu Geek Talk
Sep 17, 2025 · Artificial Intelligence

How Baidu Maps Achieves Ultra‑Accurate ETA with AI and Traffic Big Models

This article explains how Baidu Maps' ETA system evolved from simple static calculations to AI‑driven predictive models, detailing the four development stages, the underlying pre‑trained traffic large model, end‑to‑end route prediction techniques, and real‑world applications such as commuting, airport transfers, event management, and holiday travel.

AIETAMap Navigation
0 likes · 8 min read
How Baidu Maps Achieves Ultra‑Accurate ETA with AI and Traffic Big Models
Baidu Maps Tech Team
Baidu Maps Tech Team
Jun 30, 2025 · Artificial Intelligence

How Baidu Maps Uses AI to Deliver Ultra‑Accurate ETA Predictions

This article explains how Baidu Maps' ETA system evolved from simple static calculations to AI-driven predictive models, detailing the four development stages, the underlying pre‑trained traffic large model, end‑to‑end route time prediction, and real‑world applications such as commuting, airport transfers, and holiday travel.

AIETATraffic Prediction
0 likes · 8 min read
How Baidu Maps Uses AI to Deliver Ultra‑Accurate ETA Predictions
DataFunTalk
DataFunTalk
Dec 18, 2021 · Artificial Intelligence

Adaptive Mutual Supervision Multi‑Task Graph Neural Network for Fine‑Grained Urban Traffic Demand Prediction

This work proposes an adaptive mutual‑supervision multi‑task graph neural network that captures spatio‑temporal dynamics and heterogeneous group behaviors to predict fine‑grained urban travel demand, demonstrating over 10% performance gains on real‑world Beijing and Shanghai datasets compared with classic baselines.

Deep LearningGraph Neural NetworkTraffic Prediction
0 likes · 24 min read
Adaptive Mutual Supervision Multi‑Task Graph Neural Network for Fine‑Grained Urban Traffic Demand Prediction
Amap Tech
Amap Tech
Apr 23, 2021 · Artificial Intelligence

How AI Powers Gaode’s Route Planning and Navigation: Inside the Tech

The 17‑minute video replay of Gaode's Technology Open Day showcases Cui Hengbin’s deep‑dive into AI‑driven route planning, covering pre‑trip, in‑trip, and arrival phases, road‑condition prediction, ETA estimation, dynamic traffic mining, and references to award‑winning research papers.

AIRoute PlanningTraffic Prediction
0 likes · 2 min read
How AI Powers Gaode’s Route Planning and Navigation: Inside the Tech
Amap Tech
Amap Tech
Mar 5, 2021 · Artificial Intelligence

AI Applications in Mobility: Route Planning, ETA Prediction, Dynamic Event Mining, and Global Scheduling

The article surveys Amap’s AI‑driven mobility solutions—from personalized, multi‑objective route planning using Cell‑Based Routing and bias‑aware sorting, through spatio‑temporal ETA prediction and lightweight BERT‑based traffic‑event mining, to rapid POI freshness updates and a future global scheduling system that coordinates vehicles and signals via multi‑agent reinforcement learning.

AIRoute PlanningTraffic Prediction
0 likes · 14 min read
AI Applications in Mobility: Route Planning, ETA Prediction, Dynamic Event Mining, and Global Scheduling
58 Tech
58 Tech
Dec 16, 2019 · Artificial Intelligence

Data Intelligence in the Used‑Car Business: User Traffic Prediction and Identification (Part 1)

This article details how the 58 Group applied data‑driven methods—user segmentation, interest description, clustering, and predictive modeling—to forecast and identify traffic in the used‑car scenario, illustrating the end‑to‑end pipeline, experimental results, and practical impact on downstream business processes.

Data IntelligenceTraffic PredictionUser Segmentation
0 likes · 19 min read
Data Intelligence in the Used‑Car Business: User Traffic Prediction and Identification (Part 1)
Didi Tech
Didi Tech
Dec 2, 2019 · Operations

Capacity Estimation Methodology for Growing Services

The article presents a systematic capacity‑estimation methodology that links service traffic to order volume, uses CPU‑Idle as a primary metric, predicts traffic growth and upper‑bound limits, validates predictions with load‑testing, and provides scaling recommendations while noting limitations of the CPU‑Idle baseline.

Traffic Predictioncapacity planningresource utilization
0 likes · 9 min read
Capacity Estimation Methodology for Growing Services