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

被引:0
|
作者
Zhang, Yahui [1 ]
Zhao, Haohan [1 ]
Hu, Chuan [2 ]
Tian, Yang [1 ]
Li, Ying [3 ]
Jiao, Xiaohong [4 ]
Wen, Guilin [1 ]
机构
[1] Yanshan Univ, Sch Mech Engn, Qinhuangdao 066004, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200241, Peoples R China
[3] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
[4] Yanshan Univ, Sch Elect Engn, Qinhuangdao 066004, Peoples R China
基金
中国国家自然科学基金;
关键词
Motion sickness; Mathematical models; Prevention and mitigation; Reviews; Autonomous vehicles; Computational modeling; Gravity; Brain modeling; Biological system modeling; Surveys; human-centered research; motion sickness; motion planning; intelligent system; comfort-oriented; ADVANCED DRIVER-ASSISTANCE; HEART-RATE-VARIABILITY; POSTURAL INSTABILITY; INTELLIGENT VEHICLES; AUTOMATED VEHICLES; FREQUENCY; ACCELERATION; SIMULATOR; MODEL; EEG;
D O I
10.1109/TITS.2024.3462495
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:21737 / 21756
页数:20
相关论文
共 50 条
  • [21] Heuristic optimization methods for motion planning of autonomous agricultural vehicles
    K.P. Ferentinos
    K.G. Arvanitis
    N. Sigrimis
    Journal of Global Optimization, 2002, 23 : 155 - 170
  • [22] Heuristic optimization methods for motion planning of autonomous agricultural vehicles
    Ferentinos, KP
    Arvanitis, KG
    Sigrimis, N
    JOURNAL OF GLOBAL OPTIMIZATION, 2002, 23 (02) : 155 - 170
  • [23] Design of a Suspension Controller with an Adaptive Feedforward Algorithm for Ride Comfort Enhancement and Motion Sickness Mitigation
    Kim, Jinwoo
    Yim, Seongjin
    ACTUATORS, 2024, 13 (08)
  • [24] REACTIVE ONLINE MOTION RE-PLANNING FOR CRASH MITIGATION IN AUTONOMOUS VEHICLES USING BEZIER CURVE OPTIMIZATION
    Khattar, Vanshaj
    Eskandarian, Azim
    PROCEEDINGS OF THE ASME 2020 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2020, VOL 7B, 2020,
  • [25] Analyzing Motion Sickness Level in Autonomous Vehicles According to Look-Ahead Distance
    Zengin, Namik
    Sever, Mert
    Kirli, Ahmet
    Arslan, M. Selcuk
    2018 6TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT), 2018,
  • [26] Frequency Shaping-Based Control Framework for Reducing Motion Sickness in Autonomous Vehicles
    Lee, Soomin
    Lee, Chunhwan
    Moon, Chulwoo
    SENSORS, 2025, 25 (03)
  • [27] Modeling public acceptance of private autonomous vehicles: Value of time and motion sickness viewpoints
    Zou, Xin
    Logan, David B.
    Vu, Hai L.
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2022, 137
  • [28] Motion Planning of Self-driving Vehicles for Motion Sickness Minimisation
    Htike, Zaw
    Papaioannou, Georgios
    Velenis, Efstathios
    Longo, Stefano
    2020 EUROPEAN CONTROL CONFERENCE (ECC 2020), 2020, : 1719 - 1724
  • [29] Development of a nonlinear predictive controller for mitigation of motion sickness in autonomous vehicles through multi-objective control of lateral and roll dynamics
    Arslan, M. Selcuk
    Kucukdemiral, Ibrahim
    Farrag, Mohamed E.
    RESULTS IN ENGINEERING, 2025, 25
  • [30] Special Issue on Enhancing Motion Comfort on Passenger and Commercial Autonomous Vehicles for Securing Their Acceptance
    Papaioannou, Georgios
    Ning, Donghong
    Shyrokau, Barys
    SAE INTERNATIONAL JOURNAL OF CONNECTED AND AUTOMATED VEHICLES, 2022, 5 (02): : 119 - 120