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...
Main Authors: | Chang Wang, Qinyu Sun, Zhen Li, Hongjia Zhang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/8/2259 |
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