ETA | BestHub

Amap Tech

Jun 9, 2020 · Artificial Intelligence

Deep Learning Approach for Route ETA Prediction in Navigation

The article proposes a deep‑learning framework that uses an LSTM to predict segment‑level travel times and fully‑connected layers to aggregate them into a full‑route ETA, demonstrating on Beijing data a 28.2% MSE reduction and superior accuracy over traditional regressors by capturing temporal and network dependencies.

ETALSTMdeep learning

0 likes · 7 min read

Deep Learning Approach for Route ETA Prediction in Navigation

Didi Tech

Jun 16, 2018 · Artificial Intelligence

AI and Big Data in Didi’s Mapping Services – Insights from WGDC 2018

At WGDC 2018, Didi’s mapping division revealed how its AI‑driven platform leverages massive real‑time travel data, machine‑learning and deep‑learning models—including a new ETA estimator, demand‑supply forecasting, and reinforcement‑learning order allocation—to deliver ultra‑accurate pick‑up points, route planning, and destination predictions, while opening de‑identified data and research topics to academia.

AIETAOpen Research

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AI and Big Data in Didi’s Mapping Services – Insights from WGDC 2018