Short term traffic flow prediction and timing optimization at signalized intersections based on SG-LSTM and particle swarm optimization
In addressing the challenge of spatio-temporal correlation in traffic flow at signalized intersections, this study introduces an innovative methodology that integrates a SG-LSTM neural network with a particle swarm optimization algorithm. The proposed methodology involves the pre-processing of origi...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2024-12-01
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| Series: | Journal of Highway and Transportation Research and Development |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/HTRD.2024.9480030 |
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