Mitigation of Motion Sickness and Optimization of Motion Comfort in Autonomous Vehicles: Systematic Survey

Autonomous vehicles (AVs) bring advantages such as comfort, safety, and eco-friendliness compared to conventional ones. The focus on comfort has become increasingly important as it plays a key role in the widespread acceptance of AVs. Passenger demand for alleviating motion sickness (MS) during travel has also driven extensive research in this area. This manuscript conducts a comprehensive and comparative review of published articles to provide up-to-date research outcomes on MS mitigation. It also examines the optimization methods employed over the past two decades to enhance motion comfort in AVs. The methods for detecting and resolving MS are elaborated upon, and the research gap and challenges are addressed. Furthermore, the manuscript presents the current efficacy of the research and proposes an anti-motion sickness control framework that utilizes a cloud control platform, which might offer potential future research directions in the field of autonomous driving. This study serves as a valuable reference for future efforts and opportunities to improve the motion comfort of AVs.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2024-10-18
DOI
https://doi.org/10.1109/tits.2024.3462495
Citations
12
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
4.46

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article

Mitigation of Motion Sickness and Optimization of Motion Comfort in Autonomous Vehicles: Systematic Survey

Haohan Zhao, Yang Tian, Chuan Hu, Ying Li et al.
12 citations
IEEE Transactions on Intelligent Transportation Systems
Virtual Reality Applications and Impacts
4.46
article

Mitigation of Motion Sickness and Optimization of Motion Comfort in Autonomous Vehicles: Systematic Survey

Haohan Zhao, Yang Tian, Chuan Hu, Ying Li, Yahui Zhang, Xiaohong Jiao, Guilin Wen
article en
12 citations

Abstract

Autonomous vehicles (AVs) bring advantages such as comfort, safety, and eco-friendliness compared to conventional ones. The focus on comfort has become increasingly important as it plays a key role in the widespread acceptance of AVs. Passenger demand for alleviating motion sickness (MS) during travel has also driven extensive research in this area. This manuscript conducts a comprehensive and comparative review of published articles to provide up-to-date research outcomes on MS mitigation. It also examines the optimization methods employed over the past two decades to enhance motion comfort in AVs. The methods for detecting and resolving MS are elaborated upon, and the research gap and challenges are addressed. Furthermore, the manuscript presents the current efficacy of the research and proposes an anti-motion sickness control framework that utilizes a cloud control platform, which might offer potential future research directions in the field of autonomous driving. This study serves as a valuable reference for future efforts and opportunities to improve the motion comfort of AVs.

IEEE Transactions on Intelligent Transportation SystemsVol. 25(12)
Beijing Institute of Technology (CN), Shanghai Jiao Tong University (CN), Yanshan University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hebei Province
Climate action
Openalex Percentile: Top 5%
Virtual Reality Applications and Impacts
4.46
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Mitigation of Motion Sickness and Optimization of Motion Comfort in Autonomous Vehicles: Systematic Survey — Haohan Zhao, Yang Tian, et al. · IEEE Transactions on Intelligent Transportation Systems (2024) | TGRS Research Map | TGRS