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A novel geo-independent and privacy-preserved traffic speed prediction framework based on deep learning for intelligent transportation systems

Published Online: 2025-02-17

Authors

Akin, Murat

Canbay, Yavuz

Sagiroglu, Seref
Funding

Funding for this research was provided by:

Gazi University
License Information

Text and Data Mining valid from 2025-02-17

Version of Record valid from 2025-02-17
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Article History

Accepted: 24 January 2025

First Online: 17 February 2025

Declarations

:

: The authors declare no competing interests.

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