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 162 条
  • [71] Using Active Seat Belt Retractions to Mitigate Motion Sickness in Automated Driving
    Kremer, Christina
    Tomzig, Markus
    Merkel, Nora
    Neukum, Alexandra
    [J]. VEHICLES, 2022, 4 (03): : 825 - 842
  • [72] Knowing what's coming: Anticipatory audio cues can mitigate motion sickness
    Kuiper, Ouren X.
    Bos, Jelte E.
    Diels, Cyriel
    Schmidt, Eike A.
    [J]. APPLIED ERGONOMICS, 2020, 85
  • [73] Moving base driving simulators' potential for carsickness research
    Kuiper, Ouren X.
    Bos, Jelte E.
    Diels, Cyriel
    Cammaerts, Kia
    [J]. APPLIED ERGONOMICS, 2019, 81
  • [74] Urban Motion Planning Framework Based on N-Bezier Curves Considering Comfort and Safety
    Lattarulo, Ray
    Gonzalez, Leonardo
    Marti, Enrique
    Matute, Jose
    Marcano, Mauricio
    Perez, Joshue
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2018,
  • [75] MPC-Based Haptic Shared Steering System: A Driver Modeling Approach for Symbiotic Driving
    Lazcano, Andrea Michelle Rios
    Niu, Tenghao
    Akutain, Xabier Carrera
    Cole, David
    Shyrokau, Barys
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 26 (03) : 1201 - 1211
  • [76] Effect of emotion on galvanic skin response and vehicle control data during simulated driving
    Lee, Myeongkyu
    Lee, Sangho
    Hwang, Sungwook
    Lim, Sejoon
    Yang, Ji Hyun
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2023, 93 : 90 - 105
  • [77] Online Competition of Trajectory Planning for Automated Parking: Benchmarks, Achievements, Learned Lessons, and Future Perspectives
    Li, Bai
    Fan, Lili
    Ouyang, Yakun
    Tang, Shiqi
    Wang, Xiao
    Cao, Dongpu
    Wang, Fei-Yue
    [J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 8 (01): : 16 - 21
  • [78] Li Daofei, 2023, HCI in Mobility, Transport, and Automotive Systems: 5th International Conference, MobiTAS 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. Lecture Notes in Computer Science (14049), P173, DOI 10.1007/978-3-031-35908-8_13
  • [79] Li D., 2021, P INT S FUT ACT SAF, P1
  • [80] Li DF, 2024, Arxiv, DOI arXiv:2402.00565