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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571238/ https://www.ncbi.nlm.nih.gov/pubmed/32899773 http://dx.doi.org/10.3390/s20185034 |