A Comprehensive Study of Deep Learning Approaches for Predicting Reciprocal Traffic Dynamics and Climate Variability
Climate change requires innovative solutions to improve traffic management and safety in transportation systems. This paper tries to expand on the complex relationship between weather, traffic, climate, and an integrated approach to traffic data. In the round, the general aim is to come up with the...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Engineering, University of Kufa
2025-07-01
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| Series: | Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ |
| Subjects: | |
| Online Access: | https://journal.uokufa.edu.iq/index.php/kje/article/view/15168 |
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