Modeling Car-Following Behaviors and Driving Styles with Generative Adversarial Imitation Learning
Building a human-like car-following model that can accurately simulate drivers’ car-following behaviors is helpful to the development of driving assistance systems and autonomous driving. Recent studies have shown the advantages of applying reinforcement learning methods in car-following modeling. H...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2020-09-01
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| シリーズ: | Sensors |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/1424-8220/20/18/5034 |
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