Large-scale transportation network congestion evolution prediction using deep learning theory.
Understanding how congestion at one location can cause ripples throughout large-scale transportation network is vital for transportation researchers and practitioners to pinpoint traffic bottlenecks for congestion mitigation. Traditional studies rely on either mathematical equations or simulation te...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science (PLoS)
2015-01-01
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| Edice: | PLoS ONE |
| On-line přístup: | http://europepmc.org/articles/PMC4363621?pdf=render |
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