AVENUE21. Connected and Automated Driving: Prospects for Urban Europe

AVENUE21. Connected and Automated Driving: Prospects for Urban Europe

Author: Mathias Mitteregger

Publisher: Springer Nature

Published: 2021-10-07

Total Pages: 179

ISBN-13: 3662641402

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This open access publication examines the impact of connected and automated vehicles on the European city and the conditions that can enable this technology to make a positive contribution to urban development. The authors argue for two theses that have thus far received little attention in scientific discourse: as connected and automated vehicles will not be ready for use in all parts of the city for a long time, previously assumed effects – from traffic safety to traffic performance as well as spatial effects – will need to be re-evaluated. To ensure this technology has a positive impact on the mobility of the future, transport and settlement policy regulations must be adapted and further developed. Established territorial, institutional and organizational boundaries must be investigated and challenged quickly. Despite – or, indeed, because of – the many uncertainties, we find ourselves at the beginning of a new design phase, not only in terms of technology development, but also regarding politics, urban planning, administration and civil society.


Driver Training for Automated Vehicles

Driver Training for Automated Vehicles

Author: Siobhán E. Merriman

Publisher: CRC Press

Published: 2024-04-30

Total Pages: 312

ISBN-13: 1040014828

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Since the introduction of Automated Vehicles (AVs) on roads, there have been a number of high-profile collisions, which have highlighted significant driver challenges. These include challenges associated with drivers’ trust in the automation, their knowledge and awareness of the AV’s capabilities and limitations and their reduced situation awareness of the road environment and the vehicle. Solutions are needed to overcome these challenges, so that the expected benefits of AVs can be realised. Driver Training for Automated Vehicles: A Systems Approach identifies the training requirements for drivers of AVs and takes a systematic approach to design, develop, implement and evaluate a comprehensive training package to address these requirements. This book explores how training can overcome the driver challenges associated with AVs by improving drivers’ mental models, trust in automation, decisions and behaviour when activating a Level 4 AV. It presents a systematic approach to the training lifecycle, by first presenting the current state of research into AVs, identifying the challenges and training requirements for drivers of AVs, and then developing and evaluating a training programme to achieve these requirements. This fascinating title highlights the need for drivers to undergo training for AVs, and takes us a step closer to this need. It walks readers through a systematic, four-step process and provides practical guidance to develop and evaluate an effective training programme. The reader will develop a thorough understanding of the current driver challenges with AVs and the methods and systems to mitigate them through current knowledge and research. This book is an ideal read for practitioners, designers and academics with a professional or research interest in AVs. Its appeal extends to those in the fields of automotive design, Systems Engineering, Human Factors and education and training.


Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI

Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI

Author: Jeffrey Nichols

Publisher: Springer Nature

Published: 2020-12-22

Total Pages: 555

ISBN-13: 3030633934

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This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020. The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.


Who’s Driving Electric Cars

Who’s Driving Electric Cars

Author: Marcello Contestabile

Publisher: Springer Nature

Published: 2020-03-17

Total Pages: 305

ISBN-13: 3030383822

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This book offers a comprehensive yet accessible snapshot of the latest consumer research on the adoption and use of electric vehicles. It discusses the importance of developing a better understanding of consumer behavior in relation to electric vehicles, and the advantages that can be gained from the growing number of electric vehicle users, who can now be studied directly. In turn, it systematically analyzes the leading markets for electric vehicles in North America, Europe and Asia. Bringing together the experience and expertise of authoritative researchers and practicing professionals, the book shares a wide range of empirical data obtained at the national level and summarizes the general lessons learned. The last part of the book discusses policy-relevant insights, forecasts the future evolution of the field in terms of methods and data availability, and addresses several key questions that policymakers and other stakeholders are currently facing.


Dark Future

Dark Future

Author: Glenn Beck

Publisher: Simon and Schuster

Published: 2023-07-11

Total Pages: 257

ISBN-13: 1637632118

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"In Dark Future: Uncovering the Great Reset’s Terrifying Next Phase, New York Times bestselling authors Glenn Beck and Justin Haskins reveal the most important technologies and social and cultural changes that will soon cause an unprecedented level of disruption in the United States, as well as in countless other nations. They also outline the dangers and opportunities associated with these disruptions and provide a plan to protect individuals and families from losing their liberty." --Amazon.


Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation

Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation

Author: Jeffrey Nichols

Publisher: Springer Nature

Published: 2022-03-09

Total Pages: 474

ISBN-13: 3030964981

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This book constitutes the revised selected papers of the 21st Smoky Mountains Computational Sciences and Engineering Conference, SMC 2021, held in Oak Ridge, TN, USA*, in October 2021. The 33 full papers and 3 short papers presented were carefully reviewed and selected from a total of 88 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; advanced computing applications: use cases that combine multiple aspects of data and modeling; advanced computing systems and software: connecting instruments from edge to supercomputers; deploying advanced computing platforms: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.


Female Entrepreneurship as a Driving Force of Economic Growth and Social Change

Female Entrepreneurship as a Driving Force of Economic Growth and Social Change

Author: Daniel, Ana Dias

Publisher: IGI Global

Published: 2023-04-24

Total Pages: 253

ISBN-13: 1668476711

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In the last decade, female entrepreneurship has gained considerable attention from both academicians and policymakers. Despite the proliferation of studies, this field of research is characterized by being a highly multidisciplinary and dispersed field, encompassing studies from a wide range of disciplines such as business and management, education, political science, technology, and innovation. To legitimize female entrepreneurship as a distinct field of research, it is important to deepen the scientific reasoning regarding women entrepreneurs while promoting the theoretical consolidation of this area of knowledge. Female Entrepreneurship as a Driving Force of Economic Growth and Social Change presents what researchers have learned so far about female entrepreneurship, namely the main motivations that lead women to undertake it and the characteristics of this type of business, as well as the impact of context and technology on the promotion and management of companies by women. In doing so, it contributes to a better understanding of this phenomenon and how it is different from male entrepreneurship, allowing a better delimitation of this field of research. Covering topics such as diversity, innovation, social entrepreneurship, and gender, this premier reference source is ideal for business owners, entrepreneurs, managers, researchers, scholars, academicians, practitioners, instructors, and students.