Predicting traffic propagation flow in urban road network with multi-graph convolutional network
Abstract Traffic volume propagating from upstream road link to downstream road link is the key parameter for designing intersection signal timing scheme. Recent works successfully used graph convolutional network (GCN) and specific time-series model to forecast traffic flow by capturing the spatial–...
| المؤلفون الرئيسيون: | , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Springer
2023-06-01
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| سلاسل: | Complex & Intelligent Systems |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1007/s40747-023-01099-z |