Systematic literature review on the applications, impacts, and public perceptions of autonomous vehicles in road transportation system
DOI: 10.1016/j.jtte.2023.07.006
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Summary
This systematic literature review addresses the rapid advancement of autonomous vehicle (AV) technology and its integration into road transportation systems. Motivated by the potential of AVs to improve pedestrian safety, mitigate traffic congestion, increase fuel efficiency, and reduce greenhouse gas emissions, the study aims to synthesize existing research on AV applications, implications, and public perceptions. The authors identify significant gaps in current literature regarding public acceptance, safety hazards, legal and regulatory issues, and the integration of AVs with public transportation networks. The review seeks to provide a comprehensive framework for transportation researchers and urban planners to understand the fundamental concepts and future trajectory of driverless technologies. The study employs a systematic literature review methodology, utilizing a five-step approach to identify and analyze relevant research. The authors searched three academic databases—Scopus, Web of Science, and EBSCO—for peer-reviewed journal and conference articles published between 2011 and 2021. Keywords included "autonomous vehicles," "automated vehicle technology," "driverless vehicle," "self-driving vehicle," and "autonomous driving." Initial searches yielded 623 articles, which were filtered through strict inclusion and exclusion criteria, such as language (English only), peer-review status, and relevance to the research objectives. After removing duplicates and non-English articles, 158 articles were selected for detailed analysis. The review covers the history of AVs, SAE automation levels, technological components, public perception, and impacts on traffic and logistics. The findings indicate that AVs are poised to revolutionize road transportation by reducing human-error-related accidents, which account for 93% of road crashes. The review details the technical navigation framework of AVs, comprising perception, localization, path planning, decision-making, and vehicle control, often supported by sensors like cameras and lidar. Public perception is identified as a critical barrier, with issues surrounding trust, familiarity, and safety influencing acceptance. The study highlights that while negative perceptions are shifting, significant improvements to existing road infrastructure are necessary for full deployment. Additionally, the review notes that AVs could transform the logistics and supply chain industries, potentially reducing travel costs and altering urban development patterns. However, challenges remain regarding ethical implications, legal liability, data privacy, and cybersecurity. The significance of this review lies in its comprehensive synthesis of the current state of AV technology and its societal impacts. It provides a conceptual framework for understanding the transition toward fully autonomous transportation, emphasizing the need for improved infrastructure and public engagement. The authors conclude that while AVs offer substantial benefits in safety and efficiency, their successful integration requires addressing legal, regulatory, and human-factor challenges. This work contributes to the field by clarifying the fundamental aspects of AV technologies and offering insights for policymakers and researchers aiming to facilitate the adoption of autonomous mobility in urban environments.
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | DOAJ | — | — | 1 | 2026-06-25 |
| archive | success | openalex | — | — | 4 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-25 |
| chunk | success | chunk | — | — | 1 | 2026-06-25 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-25 |
| promote | success | — | — | — | 1 | 2026-06-25 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-25 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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