Path planning algorithm of the intelligent vehicle considering the passenger feelings. Issue 4 (March 2020)

• Record Type: Journal Article
• Authors: Zhang, Kaijiong; Zhang, Xi; Deng, Weishun; Yu, Fan; Shang, Shiliang; Guo, Mengge
• Is Part Of: IOP conference series. Volume 768:Issue 4(2020)
• Publication Date: 2020-03
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/768/4/042002
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: As the autonomous driving vehicle becomes popular, the driver will be completely replaced by autonomous system, but passengers in the vehicle will always exist. Autonomous vehicle has the essential property of transporting people, so the passenger comfortability should be fully considered. In this paper, based on the trust between the passenger and the driver, the passenger physical and psychological feelings are comprehensively considered. Through the real track test data, the support vector machine is used to establish the passenger feeling evaluation model -- to show the relationship between the passenger and the autonomous driving system. And then, based on the evaluation model, a new path planner algorithm is proposed, which is proved by simulation that the re-planning path can significantly improve the passenger comfortability.