城市空中交通的航空安全:飞行员执照和疲劳管理

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Yuran Shi
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引用次数: 0

摘要

城市空中交通(UAM)是一种新兴的空中交通系统,专为城市及其周边环境的乘客和货物而设计。美国联邦航空管理局和欧盟航空安全局都认可分阶段发展城市空中交通系统的方法,从有人驾驶航空开始,随后过渡到遥控驾驶和自主运行。本文重点关注与航空安全有关的法律因素,特别是飞行员执照和机组人员疲劳管理。对现有航空法条款的分析表明,国际民用航空组织可与地方当局合作,制定管理参与无人机和自主飞行操作的机载和远程飞行员的法规。在制定具体法规之前,航空法中的安全标准可比照适用于机载飞行员。从长远来看,应制定关于机载和远程无人机驾驶员的国内法律。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aviation Safety for Urban Air Mobility: Pilot Licensing and Fatigue Management

Urban Air Mobility (UAM) is an emerging air traffic system designed for passengers and cargo in and around urban environments. Both the Federal Aviation Administration of the United States and the European Union Aviation Safety Agency endorse a phased development approach for UAM, commencing with manned aviation and subsequently transitioning to remotely piloted and autonomous operations. This article focuses on legal considerations related to aviation safety, with a specific focus on pilot licensing and crew fatigue management. An analysis of existing aviation law provisions suggests that the International Civil Aviation Organization can work with local authorities to create regulations governing both on-board and remote pilots involved in UAM operations. Safety standards in air law can apply mutatis mutandis to on-board pilots until specific regulations are developed. In the longer term, there shall be domestic laws on both on-board and remote UAM pilots.

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来源期刊
Journal of Intelligent & Robotic Systems
Journal of Intelligent & Robotic Systems 工程技术-机器人学
CiteScore
7.00
自引率
9.10%
发文量
219
审稿时长
6 months
期刊介绍: The Journal of Intelligent and Robotic Systems bridges the gap between theory and practice in all areas of intelligent systems and robotics. It publishes original, peer reviewed contributions from initial concept and theory to prototyping to final product development and commercialization. On the theoretical side, the journal features papers focusing on intelligent systems engineering, distributed intelligence systems, multi-level systems, intelligent control, multi-robot systems, cooperation and coordination of unmanned vehicle systems, etc. On the application side, the journal emphasizes autonomous systems, industrial robotic systems, multi-robot systems, aerial vehicles, mobile robot platforms, underwater robots, sensors, sensor-fusion, and sensor-based control. Readers will also find papers on real applications of intelligent and robotic systems (e.g., mechatronics, manufacturing, biomedical, underwater, humanoid, mobile/legged robot and space applications, etc.).
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