A Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion
We present an interactive visual analytics system that enables traffic congestion exploration, surveillance, and forecasting based on vehicle detector data. Through domain expert collaboration, we have extracted task requirements, incorporated the Long Short-Term Memory (LSTM) model for congestion f...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 26(2020), 11 vom: 14. Nov., Seite 3133-3146
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| 1. Verfasser: |
Lee, Chunggi
(VerfasserIn) |
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| Weitere Verfasser: |
Kim, Yeonjun,
Jin, Seungmin,
Kim, Dongmin,
Maciejewski, Ross,
Ebert, David,
Ko, Sungahn |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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