Leveraging Spatial and Temporal Data to Predict Heavy Freight Vehicle Traffic Flow on Rural Road Network
Accurately predicting heavy freight vehicle (HFV) traffic flow is essential for optimizing service levels and improving road safety management. This study compares the performance of three machine learning approaches—classical learning, reinforcement learning, and artificial neural networ...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11097318/ |
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