Rationale Behind Human-Led Autonomous Truck Platooning
Yukun Lu, Chenzhao Li, Xintong Jiang, Qiaoxuan Zhang

TL;DR
This paper advocates for human-led autonomous truck platooning as a practical intermediate step towards fully autonomous freight transport, emphasizing safety, adaptability, and societal acceptance based on accident analysis and industry review.
Contribution
It provides a systematic rationale for human-in-the-loop platooning, highlighting its safety, scalability, and transitional benefits over fully driverless systems.
Findings
Human factors dominate severe truck crashes, underscoring need for advanced systems.
Industry limitations include edge cases, winter operations, and validation challenges.
Human-in-the-loop architecture offers layered redundancy and adaptive judgment.
Abstract
Autonomous trucking has progressed rapidly in recent years, transitioning from early demonstrations to OEM-integrated commercial deployments. However, fully driverless freight operations across heterogeneous climates, infrastructure conditions, and regulatory environments remain technically and socially challenging. This paper presents a systematic rationale for human-led autonomous truck platooning as a pragmatic intermediate pathway. First, we analyze 53 major truck accidents across North America (2021-2026) and show that human-related factors remain the dominant contributors to severe crashes, highlighting both the need for advanced assistance/automated driving systems and the complexity of real-world driving environments. Second, we review recent industry developments and identify persistent limitations in long-tail edge cases, winter operations, remote-region logistics, and…
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Taxonomy
TopicsTraffic control and management · Autonomous Vehicle Technology and Safety · Traffic and Road Safety
