A Deep Learning-Based Framework for Intersectional Traffic Simulation and Editing
Most of existing traffic simulation methods have been focused on simulating vehicles on freeways or city-scale urban networks. However, relatively little research has been done to simulate intersectional traffic to date despite its broad potential applications. In this paper, we propose a novel deep...
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 26(2020), 7 vom: 03. Juli, Seite 2335-2348 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics |
| Schlagworte: | Journal Article |
| Online verfügbar |
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