Road Safety Analysis of Autonomous Vehicles

被引:0
|
作者
Szűcs H. [1 ,2 ]
Hézer J. [3 ]
机构
[1] Department of Whole Vehicle Engineering, Audi Hungaria Faculty of Automotive Engineering, Széchenyi István University, Egyetem tér 1, Győr
[2] Audi Hungaria Zrt., Audi Hungária út 1, Győr
[3] EDAG Hungary Kft., Zrínyi Miklós utca 11, Győr
来源
关键词
autonomous vehicle; road accident; road traffic safety; safety analysis;
D O I
10.3311/PPtr.19605
中图分类号
学科分类号
摘要
For the widespread use of Autonomous Vehicles (AVs), a huge number of challenges must be solved by vehicle manufacturers, in contrast they do have significant potential to increase road safety in both passenger and freight transport. In addition to reducing road traffic accidents and traffic jams, AVs also offer a major opportunity to reduce pollutant emissions and CO2 emissions from environmental point of view. In order to implement accident-free traffic, also called Vision Zero, it is essential to examine the safety and reliability of AVs. This article analyzes road traffic accident data and the potential safety benefits of AVs. Furthermore, the paper also sets the safety of the conventional vehicles against AVs and examines the type, location, causes, and dynamics of the accidents. The article also provides an overview over the current development trends and challenges, such as the risk of cyber-attacks, the necessary improvements in sensing technologies, and the not insignificant moral issue of AVs. © 2022 Budapest University of Technology and Economics. All rights reserved.
引用
收藏
页码:426 / 434
页数:8
相关论文
共 50 条
  • [21] Modeling and Safety Analysis of Autonomous Underwater Vehicles Behaviors
    Quijano, Sergio
    Varshosaz, Mahsa
    Wasowski, Andrzej
    2024 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION WORKSHOPS, ICSTW 2024, 2024, : 63 - 67
  • [22] Collaborative Analysis Framework of Safety and Security for Autonomous Vehicles
    Cui, Jin
    Sabaliauskaite, Giedre
    Liew, Lin Shen
    Zhou, Fengjun
    Zhang, Biao
    IEEE ACCESS, 2019, 7 : 148672 - 148683
  • [23] LOOKING DOWN THE ROAD AT AUTONOMOUS VEHICLES
    Falcioni, John G.
    MECHANICAL ENGINEERING, 2017, 139 (03) : 6 - 6
  • [24] ASSESSMENT OF THE ROAD ECOSYSTEM FOR AUTONOMOUS VEHICLES
    Kondratovic, Vladislav
    Palevicius, Vytautas
    Cygas, Donatas
    Rimkuviene, Jurgita
    Smirnovs, Juris
    BALTIC JOURNAL OF ROAD AND BRIDGE ENGINEERING, 2024, 19 (04): : 119 - 135
  • [25] Ethics, Safety, and Autonomous Vehicles
    Koopman, Philip
    Kuipers, Benjamin
    Widen, William H.
    Wolf, Marilyn
    COMPUTER, 2021, 54 (12) : 28 - 37
  • [26] Redefining Safety for Autonomous Vehicles
    Koopman, Philip
    Widen, William
    COMPUTER SAFETY, RELIABILITY, AND SECURITY, SAFECOMP 2024, 2024, 14988 : 300 - 314
  • [27] Safety and security of autonomous vehicles
    Kumari, Saru
    Xiong, Hu
    Khoukhi, Lyes
    Rodrigues, Joel J. P. C.
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2023, 34 (11)
  • [28] Safety engineering for autonomous vehicles
    Adler, Rasmus
    Feth, Patrik
    Schneider, Daniel
    2016 46TH ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS WORKSHOPS (DSN-W), 2016, : 200 - 205
  • [29] An Overview of Autonomous Vehicles Safety
    Mariani, Riccardo
    2018 IEEE INTERNATIONAL RELIABILITY PHYSICS SYMPOSIUM (IRPS), 2018,
  • [30] Theory and methodology on safety braking of autonomous vehicles based on the friction characteristic of road surface
    Huang, Xiaoming
    Jiang, Yongmao
    Zheng, Binshuang
    Zhao, Runmin
    CHINESE SCIENCE BULLETIN-CHINESE, 2020, 65 (30): : 3328 - 3340