Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic

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...

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Bibliographic Details
Main Authors: Chang Wang, Qinyu Sun, Zhen Li, Hongjia Zhang
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
autonomous vehicles
lane-change decision
risk perception
mixed traffic
minimum safe deceleration
Online Access:https://www.mdpi.com/1424-8220/20/8/2259

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