Learning Car-Following Behaviors for a Connected Automated Vehicle System: An Improved Sequence-to-Sequence Deep Learning Model
Data-driven car-following modeling is of great significance to traffic behavior analysis and the development of connected automated vehicle (CAV) technology. The existing researches focus on reproducing the car-following process by capturing the behavior of the host vehicle using the information of...
| 出版年: | IEEE Access |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
IEEE
2023-01-01
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| 主題: | |
| オンライン・アクセス: | https://ieeexplore.ieee.org/document/10041142/ |
