Sustainability Opportunities and Ethical Challenges of AI-Enabled Connected Autonomous Vehicles Routing in Urban Areas

doi:10.1109/TIV.2023.3345661

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	Sustainability Opportunities and Ethical Challenges of AI-Enabled Connected Autonomous Vehicles Routing in Urban Areas
	Guo, Rongge 5; Vallati, Mauro 5; Wang, Yutong 4; Zhang, Hui 3; Chen, Yuanyuan 2; Wang, Fei-Yue 1,4
刊名	IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
	2024
卷号	9 期号:1 页码:55-58
关键词	Routing Artificial intelligence Traffic control Sustainable development Urban areas Safety Ethics Connected autonomous vehicles artificial intelligence traffic routing sustainability ethics
ISSN号	2379-8858
DOI	10.1109/TIV.2023.3345661
通讯作者	Wang, Fei-Yue(feiyue@ieee.org)
英文摘要	The advent of Connected Autonomous Vehicles (CAVs) paves the way to a new era of urban traffic control and management, driven by Artificial Intelligence (AI)-enabled strategies. This advancement promises significant improvements in infrastructure use optimization, traffic delay reduction, and overall sustainability. The autonomous driving capabilities of CAVs, coupled with the communication technology, allow vehicles to play an active role in urban traffic control: they can follow tailored instructions and can act as highly accurate moving sensors for traffic authorities. However, such improved capabilities come at the cost of unprecedented vulnerabilities to cyber exploitation, and with the concrete potential to increase social and economic disparities. As an extension of TIV-DHW (Distributed/Decentralized Hybrid Workshop) on ERS (Ethics, Responsibility, and Sustainability), this letter explores how the AI-enabled routing methodology can enhance urban transportation sustainability while also discussing its ethical implications and challenges.
资助项目	UKRI Future Leaders Fellowship[MR/T041196/1]
WOS关键词	ARTIFICIAL-INTELLIGENCE ; ELECTRIC VEHICLES
WOS研究方向	Computer Science ; Engineering ; Transportation
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:001173317800013
资助机构	UKRI Future Leaders Fellowship
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/58723]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者	Wang, Fei-Yue
作者单位	1.Macau Univ Sci & Technol, Inst Engn, Macau 999078, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence, Beijing 100190, Peoples R China 3.Beihang Univ, Sch Transportat Sci & Engn, Beijing 100091, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 5.Univ Huddersfield, Sch Comp & Engn, Huddersfield HD13DH, England
推荐引用方式 GB/T 7714	Guo, Rongge,Vallati, Mauro,Wang, Yutong,et al. Sustainability Opportunities and Ethical Challenges of AI-Enabled Connected Autonomous Vehicles Routing in Urban Areas[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(1):55-58.
APA	Guo, Rongge,Vallati, Mauro,Wang, Yutong,Zhang, Hui,Chen, Yuanyuan,&Wang, Fei-Yue.(2024).Sustainability Opportunities and Ethical Challenges of AI-Enabled Connected Autonomous Vehicles Routing in Urban Areas.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(1),55-58.
MLA	Guo, Rongge,et al."Sustainability Opportunities and Ethical Challenges of AI-Enabled Connected Autonomous Vehicles Routing in Urban Areas".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.1(2024):55-58.