Dawn of autonomous vehicles: review and challenges ahead

Sousa, Nuno; Almeida, Arminda; Coutinho-Rodrigues, João; Natividade-Jesus, Eduardo · 2018 · Crossref

DOI: 10.1680/jmuen.16.00063

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Summary

This review paper examines the state-of-the-art of autonomous vehicles (AVs) as of 2016, analyzing their potential socio-economic, environmental, and urban impacts while identifying the challenges facing widespread adoption. Motivated by rapid technological advances in computing, sensors, and communications, the authors investigate how AVs, combined with emerging business models like ride-sharing, could disrupt traditional mobility paradigms. The study aims to quantify these impacts and explore the implications for municipal planners, policymakers, and the automotive industry. The authors employ a comprehensive literature review and a specific cost-comparison analysis based on field data from Lisbon, Portugal. They assess current automation levels defined by SAE and NHTSA standards and review pilot programs by major entities such as Google, Tesla, Mercedes-Benz, and Uber. To evaluate the economic viability of AVs, the researchers modeled taxi fare reductions assuming a driverless fleet passes 90% of savings to customers. This analysis compared the costs of private car ownership, traditional taxis, and driverless on-demand services across various commuting distances. The review also synthesizes existing research on traffic efficiency, energy consumption, and land-use changes. Key findings indicate that AVs could significantly reduce vehicle ownership, as shared autonomous fleets may replace four to eight private vehicles and lower on-demand service costs by roughly one-third. The cost analysis revealed that for short-distance commuting (up to 5 km, or 18 km including parking costs), driverless services are more economical than private ownership. The paper highlights substantial potential for accident reduction, citing that 90% of accidents are due to human error, which could lower insurance premiums and liability issues. Energy and emissions benefits are projected through platooning, which can improve fuel efficiency by up to 30%, and automated eco-driving, which reduces consumption by 5–20%. Additionally, AVs could free up urban land currently used for parking, potentially allowing for the requalification of streets with bike lanes and green spaces. However, the authors note risks including job displacement for professional drivers, cybersecurity vulnerabilities, and ethical dilemmas regarding algorithmic decision-making in crash scenarios. The significance of this work lies in its holistic assessment of AVs as a catalyst for urban transformation rather than merely a technological upgrade. The authors conclude that while AVs offer substantial benefits in safety, efficiency, and land-use optimization, their ultimate impact depends heavily on political choices and regulatory frameworks. A SWOT analysis summarizes these dynamics, emphasizing that congestion outcomes are uncertain and contingent on how municipalities manage land-use and traffic integration. The paper calls for further quantitative research to model regional penetration rates and side effects, urging planners to prepare for the inevitable paradigm shift in transport and urban life.

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StageOutcomeToolModelPromptAttemptsCompleted
discover success Crossref 1 2026-06-20
archive success unpaywall 2 2026-06-26
extract success cached 2 2026-06-26
clean success clean 1 2026-06-20
chunk success chunk 1 2026-06-20
embed success embed Qwen/Qwen3-Embedding-8B 1 2026-06-20
promote success 1 2026-06-20
summarize success llm qwen3.6-27b-prismaquant summ-v5 1 2026-06-26
tag success vector_similarity 6 2026-06-20
verify success 1 2026-06-26

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