Integrating Sustainability in Future Traffic Lighting: Designing Efficient Light Systems for Vehicle, Road, and Traffic

doi:10.1109/TIV.2023.3331002

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Integrating Sustainability in Future Traffic Lighting: Designing Efficient Light Systems for Vehicle, Road, and Traffic
	Zhou, Shaodong 1,2; Chen, Jicheng 2; Teng, Siyu 3; Zhang, Hui2 ; Wang, Fei-Yue4,5
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
ISSN	2379-8858
	2024
卷号	9 期号:1 页码:65-68
通讯作者	Chen, Jicheng(jichengc@buaa.edu.cn)
摘要	Lighting systems in intelligent transportation system (ITS) can play a crucial role in promoting sustainability through various measures, including enhanced driving safety, energy efficiency and environmental protection. This letter presents a framework for integrating sustainable development goals into ITS lighting systems. We first explore the necessity of headlights in future traffic systems, particularly in the context of autonomous vehicles (AVs). Moreover, we discuss active safety technologies, such as night perception enhancement and collaborative lighting in connected vehicles, which contribute to enhancing safety during nighttime driving. Next, the letter analyzes the impact of vehicle-to-infrastructure (V2I) communication on intelligent street light systems. We propose a novel street light perception enhancement framework based on V2I, along with an enhanced lighting scheme for faulty vehicles. Lastly, the letter addresses the importance of energy conservation in future networked street lighting system. Several energy-saving schemes, including demand-based lighting and time-of-day optimization, are discussed, emphasizing the need for efficient energy management and sustainable practices in lighting infrastructure. As a summary of a part of Distributed/Decentralized Hybrid Workshop on Sustainability for Transportation and Logistics (DHW-STL), the letter aims to contribute to the development of sustainable lighting systems.
关键词	Lighting Roads Autonomous vehicles Safety Pedestrians Sustainable development Intelligent sensors Sustainability lighting system autonomous vehicles (AVs) intelligent connected technologies
DOI	10.1109/TIV.2023.3331002
收录类别	SCI
语种	英语
资助项目	Foundation of Guangzhou Municipal Science and Technology Bureau[202009020002]
项目资助者	Foundation of Guangzhou Municipal Science and Technology Bureau
WOS研究方向	Computer Science ; Engineering ; Transportation
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:001173317800015
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/58762
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Chen, Jicheng
作者单位	1.Guangzhou Co Ltd, Elect Facil, Guangzhou 511447, Peoples R China 2.Beihang Univ, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China 3.Hong Kong Baptist Univ, Kowloon, Hong Kong 999077, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 5.Macau Univ Sci & Technol, Inst Engn, Macau 999078, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Shaodong,Chen, Jicheng,Teng, Siyu,et al. Integrating Sustainability in Future Traffic Lighting: Designing Efficient Light Systems for Vehicle, Road, and Traffic[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(1):65-68.
APA	Zhou, Shaodong,Chen, Jicheng,Teng, Siyu,Zhang, Hui,&Wang, Fei-Yue.(2024).Integrating Sustainability in Future Traffic Lighting: Designing Efficient Light Systems for Vehicle, Road, and Traffic.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(1),65-68.
MLA	Zhou, Shaodong,et al."Integrating Sustainability in Future Traffic Lighting: Designing Efficient Light Systems for Vehicle, Road, and Traffic".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.1(2024):65-68.