Exploring acceptance of autonomous vehicle policies using KeyBERT and SNA: Targeting engineering students

This study aims to explore user acceptance of Autonomous Vehicle (AV) policies with improved text-mining methods. Recently, South Korean policymakers have viewed Autonomous Driving Car (ADC) and Autonomous Driving Robot (ADR) as next-generation means of transportation that will reduce the cost of transporting passengers and goods. They support the construction of V2I and V2V communication infrastructures for ADC and recognize that ADR is equivalent to pedestrians to promote its deployment into sidewalks. To fill the gap where end-user acceptance of these policies is not well considered, this study applied two text-mining methods to the comments of graduate students in the fields of Industrial, Mechanical, and Electronics-Electrical-Computer. One is the Co-occurrence Network Analysis (CNA) based on TF-IWF and Dice coefficient, and the other is the Contextual Semantic Network Analysis (C-SNA) based on both KeyBERT, which extracts keywords that contextually represent the comments, and double cosine similarity. The reason for comparing these approaches is to balance interest not only in the implications for the AV policies but also in the need to apply quality text mining to this research domain. Significantly, the limitation of frequency-based text mining, which does not reflect textual context, and the trade-off of adjusting thresholds in Semantic Network Analysis (SNA) were considered. As the results of comparing the two approaches, the C-SNA provided the information necessary to understand users' voices using fewer nodes and features than the CNA. The users who pre-emptively understood the AV policies based on their engineering literacy and the given texts revealed potential risks of the AV accident policies. This study adds suggestions to manage these risks to support the successful deployment of AVs on public roads.Comment: 29 pages with 11 figure

Research and innovation in network and traffic management systems in Europe

Adequate research and innovation (R&I) is paramount for the seamless testing, adoption and integration of network and traffic management systems. This report provides a comprehensive analysis of R&I initiatives in Europe in this field. The assessment follows the methodology developed by the European Commission’s Transport Research and Innovation Monitoring and Information System (TRIMIS). The report critically addresses research by thematic area and technologies, highlighting recent developments and future needs.JRC.C.4-Sustainable Transpor

Veículos autónomos : um novo desafio para o direito português

Dissertação de mestrado em Direito, área Jurídico-CivilísticasExame público realizado em 8 de outubro de 2019, às 13H30Resumo: O presente estudo visa analisar os potenciais problemas com que a sociedade e o legislador serão confrontados com a introdução massiva dos veículos autónomos em estradas nacionais. Analisamos o ordenamento jurídico português (inspirado no da União Europeia), dando destaque à responsabilidade civil por acidentes de viação e à responsabilidade do produtor, o que nos levará à conclusão de que as legislações portuguesas e europeias terão de ser revistas e actualizadas. Desenvolvemos ainda um raciocínio jurídico sobre as transmissões telemáticas de software, evidenciando que daí resultam potenciais lacunas jurídicas que poderão conduzir a decisões injustas e desproporcionais, caso não se verifiquem as necessárias alterações ao nosso ordenamento jurídico.Abstract: The present study focuses on the possible issues arising from the introduction in national roads of autonomous vehicles that will have impact on society and lawmakers. We analyzed the current portuguese law regarding civil liability for accidents with vehicles as well as the producer liability to conclude that portuguese and european laws need to be revised and actualized. We also developed a legal reasoning concerning software telematic transmissions that points potential gray zones that may lead to unfair and unproportional decisions if no changes in the law enter in force