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Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic
Determining an appropriate time to execute a lane change is a critical issue for the development of Autonomous Vehicles (AVs).However, few studies have considered the rear and the front vehicle-driver’s risk perception while developing a human-like lane-change decision model. This paper aims to deve...
Autores principales: | Wang, Chang, Sun, Qinyu, Li, Zhen, Zhang, Hongjia |
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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/PMC7218893/ https://www.ncbi.nlm.nih.gov/pubmed/32316210 http://dx.doi.org/10.3390/s20082259 |
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