The role of intelligent technology in the development of urban air mobility systems: A technical perspective

被引:4
作者
Liu, Yang [1 ]
Lyu, Cheng [2 ]
Bai, Fan [3 ]
Parishwad, Omkar [1 ]
Li, Ying [3 ]
机构
[1] Chalmers Univ Technol, Dept Architecture & Civil Engn, SE-41296 Gothenburg, Sweden
[2] Tech Univ Munich, Chair Transportat Syst Engn, D-80333 Munich, Germany
[3] Changan Univ, Sch Informat Engn, Xian 710010, Peoples R China
来源
FUNDAMENTAL RESEARCH | 2024年 / 4卷 / 05期
关键词
Urban air mobility; Intelligent technology; Artificial intelligence; Air traffic development; Disruptive transportation mode; COMMUNICATION;
D O I
10.1016/j.fmre.2023.08.006
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Urban Air Mobility (UAM) is an emerging transportation system that aims at revolutionizing urban mobility through the deployment of small electric vertical takeoff and landing (eVTOL) aircraft. The development of UAM is largely driven by advances in Intelligent Technology (IT). This review article provides an overview of the UAM system and discusses the application of IT in UAM. Major challenges facing UAM are also identified, and an outlook on the future of this promising transportation system is presented. Our main conclusions suggest that IT is a fundamental driver of UAM, enabling a range of applications such as air traffic management and autonomous drone control. However, the UAM system is facing a number of challenges, including eVTOL technology, system integration issues, and noise pollution. Despite these challenges, the future of UAM appears promising; as a disruptive transportation mode, UAM is expected to play an important role in addressing the growing demand of urban transportation in the coming decades.
引用
收藏
页码:1017 / 1024
页数:8
相关论文
共 82 条
  • [1] Active Noise Control of Multirotor Advanced Air Mobility Vehicles
    Afari, Samuel O.
    Mankbadi, Reda R.
    [J]. JOURNAL OF THE AMERICAN HELICOPTER SOCIETY, 2023, 68 (03)
  • [2] Al-Rubaye S., 2021, IEEE Future Netw. Tech Focus, P1
  • [3] Alejo D, 2014, INT CONF UNMAN AIRCR, P1259, DOI 10.1109/ICUAS.2014.6842383
  • [4] Data management, communication systems and the edge: Challenges for the future of transportation
    Ali-Eldin, Ahmed
    Elmroth, Erik
    [J]. COMMUNICATIONS IN TRANSPORTATION RESEARCH, 2021, 1
  • [5] Unmanned Aerial Vehicles Traffic Management Solution Using Crowd-Sensing and Blockchain
    Alkadi, Ruba
    Shoufan, Abdulhadi
    [J]. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2023, 20 (01): : 201 - 215
  • [6] Subjective assessment for an advanced driver assistance system: a case study in China
    Li J.
    Ao D.
    [J]. Journal of Intelligent and Connected Vehicles, 2022, 5 (02): : 112 - 122
  • [7] A New Spectrum Management Concept for Future NAS Communications
    Apaza, Rafael D.
    Knoblock, Eric J.
    Li, Hongxiang
    [J]. 2020 AIAA/IEEE 39TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC) PROCEEDINGS, 2020,
  • [8] Apaza RD, 2018, IEEEAAIA DIGIT AVION, P1170
  • [9] Arnott R., 2005, ALLEVIATING URBAN TR, V1
  • [10] Bae JungSook, 2022, 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), P2235, DOI 10.1109/ICTC55196.2022.9952749