Human-led truck platooning with lane-changing capability for more efficient logistics: a framework and implementation
Truck platooning promises to enhance the efficiency of logistics, but commercial operation is hampered by safety and economic concerns. Human-lead truck platooning can mitigate these challenges by leveraging a human driver's expertise. However, existing human-lead truck platooning is limited to longitudinal control and lacks the lane-changing capability, which restricts logistical efficiency. To address this, we build upon previous research to propose a human-lead truck platooning method with lane-changing capability. The platoon leader is controlled by a skilled human driver, who is responsible for leading the following automated trucks. The human-lead platoon is enabled to cruise, lane-change, and obstacle avoidance, leveraging the driver's expertise to mitigate safety risks in long-tail scenarios. Drivers of the following trucks are not needed, reducing labor costs. The proposed method has been implemented in commercial operations at the world's largest port, Shanghai Yangshan Port, achieving an annual transport volume of 200,000 Twenty-foot Equivalent Units. It highlights a route for large-scale truck platooning implementation, potentially reshaping freight-transport operations.
Authors
- Yongwei Feng (ORCID: https://orcid.org/0009-0001-4711-3067)
- X X Zhang
- Jie Lai
- Mingyue Lei (ORCID: https://orcid.org/0000-0003-4384-6383)
- Haoran Wang (ORCID: https://orcid.org/0009-0008-4647-5710)
- Yiming Zhang
- Zhijun Fu
- Jia Hu
Institutions
- Tongji University (CN)
- Zhengzhou University of Light Industry (CN)
- China Railway Shanghai Design Institute Group (China) (CN)
- Zhejiang Provincial Institute of Communications Planning,Design & Research (CN)
- Merchants Chongqing Communications Research and Design Institute (CN)
- SGIDI Engineering Consulting (China) (CN)
Publication Details
- Journal
- Communications Engineering
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1038/s44172-025-00578-0
- Primary Topic
- Traffic control and management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Tongji University
- Fundamental Research Funds for the Central Universities