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A Decision-Making Strategy for Car Following Based on Naturalist Driving Data via Deep Reinforcement Learning
To improve the satisfaction and acceptance of automatic driving, we propose a deep reinforcement learning (DRL)-based autonomous car-following (CF) decision-making strategy using naturalist driving data (NDD). This study examines the traits of CF behavior using 1341 pairs of CF events taken from the...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608473/ https://www.ncbi.nlm.nih.gov/pubmed/36298405 http://dx.doi.org/10.3390/s22208055 |