Retraction Notice: Integrating Sustainability in Future Traffic Lighting: Designing Efficient Light Systems for Vehicle, Road, and Traffic
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.
Authors
- Siyu Teng (ORCID: https://orcid.org/0000-0002-6860-9547)
- Jicheng Chen (ORCID: https://orcid.org/0000-0003-2670-9045)
- Shaodong Zhou
- Hui Zhang (ORCID: https://orcid.org/0000-0002-2501-712X)
- Fei‐Yue Wang (ORCID: https://orcid.org/0000-0001-9185-3989)
Institutions
- Hong Kong Baptist University (HK)
- Chinese Academy of Sciences (CN)
- Institute of Automation (CN)
- Beihang University (CN)
Publication Details
- Journal
- IEEE Transactions on Intelligent Vehicles
- Published
- 2024-11-20
- DOI
- https://doi.org/10.1109/tiv.2024.3502527
- Citations
- 1
- Primary Topic
- Transportation Planning and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.68