Traffic Pattern Analysis at Urban Intersections through Vehicle Detection in Aerial Imagery
This paper explores the application of aerial image sequences to analyze vehicle flows at urban intersections, with the goal of generating data that can inform adaptive traffic signal timing and improve urban mobility in complex, interconnected road networks. Using deep learning techniques, we detec...
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| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-annals.copernicus.org/articles/X-G-2025/151/2025/isprs-annals-X-G-2025-151-2025.pdf |
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