BiLSTM- and GNN-Based Spatiotemporal Traffic Flow Forecasting with Correlated Weather Data
The timely and accurate forecasting of urban road traffic is crucial for smart city traffic management and control. It can assist both drivers and traffic controllers in selecting efficient routes and diverting traffic to less congested roads. However, estimating traffic volume while taking into acc...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2023-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2023/8962283 |