How Semi‑Supervised Deep Learning Detects Road Closures in Real‑Time

Gaode’s engineering team presents a semi‑supervised deep‑learning framework that models road networks, extracts traffic, routing, deviation and heatmap features, and combines LSTM with ResNet to accurately identify dynamic road‑closure events, enabling both offline and real‑time detection with high confidence and business‑aligned validation.

Big DataLSTMResNetSemi-supervised Learning

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How Semi‑Supervised Deep Learning Detects Road Closures in Real‑Time

Amap Tech

Sep 4, 2019 · Artificial Intelligence

Semi-supervised Deep Learning Solution for Detecting Road Closure Events

Gaode’s semi‑supervised deep‑learning framework combines LSTM and ResNet to analyze 28‑day sequences of 39‑dimensional traffic and planning features, automatically discovering and verifying road‑closure events through a three‑layer pipeline, boosting detection confidence and top‑N accuracy by about ten percent and improving user routing.

LSTMResNetSemi-supervised LearningTraffic analysis

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Semi-supervised Deep Learning Solution for Detecting Road Closure Events