Automated Road Transport Systems (ARTS)—The Safe Way to Integrate Automated Road Transport in Urban Areas
DOI: 10.1007/978-3-319-19078-5_17
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Summary
The provided text is the front matter, preface, and table of contents for the book *Road Vehicle Automation 2*, edited by Gereon Meyer and Sven Beiker. It serves as a compilation of summaries from the Automated Vehicle Symposium 2014, held in Burlingame, California. The document does not contain a single empirical study with specific methods, data, or results. Instead, it outlines the scope of the symposium and lists the various topics covered by the contributing authors. The preface establishes the context for the publication, noting an accelerated trend toward automated driving. It highlights that vehicle manufacturers are deploying highly automated functionalities based on advanced driver assistance systems, while public authorities are establishing test routes, standards, and regulatory frameworks. The editors note that the volume reflects a growing discussion on human factors, which they identify as a key aspect of the path toward automated driving. The intended audience includes industry experts, academics, public servants, media, and the general public. The table of contents reveals that the book is structured into six parts, covering a broad spectrum of issues related to road vehicle automation. Part I addresses public sector activities, including automated driving initiatives in Japan and regulations for testing autonomous vehicles in California. Part II focuses on industrial research and innovation, discussing architecture, system safety requirements, location clouds for highly automated driving, and intuitive driving automation. Part III examines human factors and challenges, featuring contributions on the human side of automation and design considerations for Level 2 and Level 3 automated vehicles. Part IV explores legal, business, and technology perspectives, including legal accelerators and brakes for deployment, technology roadmaps for vehicle-roadway automation, integrated assessments in the United States, business strategy analyses, and elements of a European roadmap. Part V covers vehicle systems and technologies development, addressing the philosophy of developing trust in self-driving cars, truck automation opportunities, and the transition from modeling to real-world applications. Finally, Part VI discusses transportation infrastructure and planning, featuring the specific chapter titled "Automated Road Transport Systems (ARTS)—The Safe Way to Integrate Automated Road Transport in Urban Areas," along with topics on freeway traffic management, European initiatives, and envisioning automated vehicles within the built environment through 2050. The significance of this document lies in its role as a comprehensive overview of the state of automated vehicle research and policy discussions as of 2014–2015. It documents the multidisciplinary nature of the field, encompassing technical, legal, human, and infrastructural dimensions. By compiling summaries from a major symposium, the volume provides a snapshot of the key challenges and strategic directions identified by experts at that time, serving as a reference for the ongoing dialogue on the integration of automated transport systems.
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.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-20 |
| archive | success | unpaywall | — | — | 2 | 2026-06-26 |
| extract | success | cached | — | — | 15 | 2026-08-23 |
| clean | success | clean | — | — | 1 | 2026-06-26 |
| chunk | success | chunk | — | — | 1 | 2026-06-26 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-26 |
| enrich | failed | — | — | — | 4 | 2026-06-26 |
| promote | success | — | — | — | 1 | 2026-06-20 |
| summarize | skipped | llm | qwen3.8-27b-gittensor | summ-v5 | 14 | 2026-08-23 |
| tag | success | vector_similarity | — | — | 10 | 2026-08-11 |
| verify | success | — | — | — | 2 | 2026-08-08 |
Summary generated by qwen3.6-27b-nvidia on 2026-08-07; verification: verified.
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