SpatioConvGRU-Net for Short-Term Traffic Crash Frequency Prediction in Bogotá: A Macroscopic Spatiotemporal Deep Learning Approach with Urban Factors
Traffic crashes represent a major challenge for road safety, public health, and mobility management in complex urban environments, particularly in metropolitan areas characterized by intense traffic flows, high population density, and strong commuter dynamics. The development of short-term traffic c...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
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MDPI AG
2025-07-01
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| Serier: | Modelling |
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| Online adgang: | https://www.mdpi.com/2673-3951/6/3/71 |
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