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Muhammed Enes Karaoğlan

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Open access Aug 2026

A Multi-Source Machine Learning Framework for Segment-Level Travel Time Prediction in Urban Arterial Corridors: Toward Sustainable Traffic Management

A multi-source machine learning framework for segment-direction-level prediction in the Denizli city center showed that temporal and traffic-state variables dominate predictions, while weather and public transport provide complementary value.

Muhammed Enes Karaoğlan, Yetis Sazi Murat · 0 citations