Representations of truck platooning acceptance of truck drivers, decision-makers, and general public: A systematic review
DOI: 10.1016/j.trf.2024.06.008
archive: archived pipeline: cataloged verified
Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)
Summary
This systematic review investigates the representations of technology acceptance regarding truck platooning among three key stakeholder groups: decision-makers, truck drivers, and the general public. Truck platooning, which involves virtually linked automated trucks driving in a convoy, offers potential benefits such as improved fuel efficiency, reduced emissions, and enhanced road safety. However, successful implementation depends on stakeholder acceptance, which is mediated by their specific perspectives and experiences with the technology. The study aims to synthesize scattered literature to identify acceptance drivers and barriers, providing a blueprint for future research and implementation strategies. The authors conducted a systematic literature review following the PRISMA 2020 guidelines, analyzing peer-reviewed articles, book chapters, and conference papers published between January 2010 and July 2022. After screening 1,543 records, 35 studies were included. These studies were categorized based on the participants' level of platooning experience: no experience, simulated experience, or on-road experience. Thematic analysis was used to extract and synthesize representations, organizing findings into a matrix that compared stakeholder perspectives across these experience levels. The review identified 16 themes influencing acceptance, revealing distinct concerns for each group. Decision-makers generally held a positive outlook on efficiency and cost savings but expressed significant concerns regarding legal issues, infrastructure requirements, data cybersecurity, and employment challenges. The general public, primarily peripheral drivers, focused on traffic conflicts and the reliability and safety of the platooning systems. Truck drivers acknowledged potential advantages in driving comfort and safety but highlighted concerns about employment security, loss of driving pleasure, trust in automation reliability, and the stress associated with monitoring automated systems. A key finding was that representations became more positive when stakeholders had direct on-road experience with the technology. However, existing on-road studies were limited to basic driver-truck interactions and failed to address complex multitask scenarios or employment concerns. The study concludes that while truck platooning offers substantial operational benefits, its adoption is contingent on addressing the specific fears and needs of each stakeholder group. The divergence in representations underscores the need for tailored approaches to technology acceptance. Furthermore, the review highlights a critical gap in current research: most studies lack realistic, complex driving scenarios and do not adequately address the socio-economic implications for drivers, such as job security. Future research must incorporate more comprehensive on-road experiments that reflect real-world multitasking demands and broader societal impacts to facilitate the successful deployment of truck platooning technologies.
Key finding
Stakeholder representations of truck platooning acceptance vary significantly by group and become more positive with direct on-road experience, though current research lacks comprehensive coverage of employment concerns and complex driving scenarios.
Methodology
review
Sample size: 35
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via author_sweep_intake on 2026-05-28.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | author_sweep | — | — | 2 | 2026-05-28 |
| archive | success | openalex | — | — | 9 | 2026-06-06 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-04 |
| chunk | success | chunk | — | — | 1 | 2026-06-04 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-04 |
| enrich | success | — | — | — | 1 | 2026-05-28 |
| promote | success | — | — | — | 1 | 2026-06-04 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: self report data