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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Chang, Sun, Qinyu, Li, Zhen, Zhang, Hongjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218893/
https://www.ncbi.nlm.nih.gov/pubmed/32316210
http://dx.doi.org/10.3390/s20082259

Ejemplares similares