Autonomous Vehicles
Technologies, Regulations, and Societal Impacts
- 1st Edition - April 14, 2021
- Imprint: Elsevier
- Authors: George Dimitrakopoulos, Aggelos Tsakanikas, Elias Panagiotopoulos
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 0 1 3 7 - 6
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 0 1 3 8 - 3
Autonomous Vehicles: Technologies, Regulations, and Societal Impacts explores both the autonomous driving concepts and the key hardware and software enablers, Artificial intellige… Read more
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Request a sales quoteAutonomous Vehicles: Technologies, Regulations, and Societal Impacts explores both the autonomous driving concepts and the key hardware and software enablers, Artificial intelligence tools, needed infrastructure, communication protocols, and interaction with non-autonomous vehicles.
It analyses the impacts of autonomous driving using a scenario-based approach to quantify the effects on the overall economy and affected sectors. The book assess from a qualitative and quantitative approach, the future of autonomous driving, and the main drivers, challenges, and barriers. The book investigates whether individuals are ready to use advanced automated driving vehicles technology, and to what extent we as a society are prepared to accept highly automated vehicles on the road.
Building on the technologies, opportunities, strengths, threats, and weaknesses, Autonomous Vehicles: Technologies, Regulations, and Societal Impacts discusses the needed frameworks for automated vehicles to move inside and around cities. The book concludes with a discussion on what in applications comes next, outlining the future research needs.
- Broad, interdisciplinary and systematic coverage of the key issues in autonomous driving and vehicles
- Examines technological impact on society, governance, and the economy as a whole
- Includes foundational topical coverage, case studies, objectives, and glossary
Postgraduates, researchers. Traffic engineers, city planners, consultants, traffic planners, vehicle designers
- Cover image
- Title page
- Table of Contents
- Copyright
- Acknowledgments
- Introduction: From highly automated to autonomous driving
- Part I. Autonomous driving technology enabler
- Chapter 1. Hardware enablers for highly automated and autonomous vehicles
- 1.1. Introduction
- 1.2. Resilient, fail-safe and energy-efficient, silicon-born AI
- 1.3. Sensors and sensing technologies
- 1.4. Propulsion systems
- 1.5. Motion planning/ecodriving
- 1.6. Fail-operational E/E architectures
- Chapter 2. AI and software enablers for highly automated and autonomous vehicles
- 2.1. Introduction
- 2.2. Fundamental AI concepts
- 2.3. Taxonomy and fundamental requirements of AI algorithms
- 2.4. Human-like reasoning
- 2.5. Hybrid, configurable AI algorithms and methodologies
- 2.6. Data management environments for analyzing AI algorithms
- 2.7. Dynamic selection and integration of AI algorithms
- 2.8. Cognitive decision-making for autonomous driving
- 2.9. Autonomous transport—human behavior
- 2.10. Conclusions
- Chapter 3. Latest communication advances for autonomous vehicles
- 3.1. Introduction and basic vehicular communication standards for autonomous vehicles
- 3.2. Business models for V2X communications
- 3.3. Standards and policies for V2X communications
- 3.4. ADAS and their evolution toward 5G-CCAM
- 3.5. Summary
- Chapter 4. Validation of autonomous vehicles: simulation, testing, and certification
- 4.1. Introduction
- 4.2. Requirements for certification
- 4.3. Virtual twins for certification
- 4.4. Tools for certification
- 4.5. Assembly and integration of virtual twin approaches for validation, certification, and qualification
- 4.6. Test and validation of virtual twin approaches for validation, certification, and qualification
- 4.7. Compliance for decision-making systems in highly automated vehicles
- 4.8. Framework for testing, validation, and certification of highly automated vehicles
- Part II. Autonomous driving from a business and market perspectives
- Chapter 5. Consumers demand for AVs: driving forces and barriers for using AVs
- 5.1. Introduction
- 5.2. Automation and autonomy
- 5.3. Advantages of AV technologies as driving forces of adoption
- 5.4. Main barriers and challenges
- 5.5. Consumer’s perspective (acceptance and concerns) and willingness to pay
- 5.6. Adoption scenarios for AVs
- 5.7. Conclusions
- Chapter 6. A path of structural transformation for the automotive and insurance industries toward autonomous vehicles
- 6.1. Introduction: industry 4.0 in the automotive industry
- 6.2. Car innovation: major pillars in the evolution of AVs
- 6.3. Industrial and business transformation in the automotive sector
- 6.4. Adjacent industries transforming: the case of the insurance industry
- 6.5. Conclusions
- Chapter 7. The impact of AVs in the economy and social welfare
- 7.1. Introduction
- 7.2. Spillovers and impact of AVs in the overall economy
- 7.3. Redefining the transportation and logistics sectors
- 7.4. Concluding remarks
- Part III. User acceptance, security, and ethics of autonomous driving
- Chapter 8. Ethical issues for autonomous driving
- 8.1. Introduction
- 8.2. Challenges and ethical issues in autonomous driving
- 8.3. Accident scenarios
- 8.4. Trolley Pessimism and Optimism
- 8.5. Machine learning and ethical choices
- 8.6. A thought experiment
- 8.7. Conclusions
- Chapter 9. Opportunities and risks associated with autonomous driving
- 9.1. Introduction
- 9.2. Opportunities and risks
- 9.3. Liability issues and risks
- 9.4. Data analytics and risks
- 9.5. Cyber security and risks
- 9.6. Autonomous vehicles as socially networked devices
- 9.7. Conclusions
- Chapter 10. User/public acceptance of autonomous driving
- 10.1. Introduction
- 10.2. User acceptance research on vehicle technology and driving automation
- 10.3. Autonomous driving acceptance study by modifying original TAM model
- 10.4. Conclusions
- Part IV. Autonomous driving regulations, policies, and standards
- Chapter 11. Regulatory bodies for highly automated and autonomous driving
- 11.1. Introduction
- 11.2. Autonomous vehicle testing and current developments
- 11.3. Advancements around the world
- 11.4. UNECE regulation for an SAE LoA 3 lane keeping system
- 11.5. Test scenarios for the system “ALKS”
- 11.6. Conclusions
- Chapter 12. Policies and policymaking in autonomous driving
- 12.1. Introduction
- 12.2. Autonomous driving capabilities and contexts
- 12.3. Technical requirements and benefits of autonomous driving
- 12.4. Autonomous mobility: business scenario
- 12.5. Conclusions
- Chapter 13. Autonomous driving standardization bodies and standards
- 13.1. Introduction
- 13.2. Work breakdown
- 13.3. Progress toward automated driving standards
- 13.4. Latest automotive and related standardization efforts
- 13.5. Conclusions: strategy to influence automotive standards
- Part V. The future of autonomous driving and related applications
- Chapter 14. Autonomous driving applications
- 14.1. Introduction
- 14.2. Technological “pathways”
- 14.3. Example of autonomous vehicles case studies
- Chapter 15. Conclusions and way forward
- 15.1. Synopsis
- 15.2. Open issues
- 15.3. Overall advantages of autonomous driving
- 15.4. Overall disadvantages of autonomous driving
- 15.5. Contemplations
- Index
- Edition: 1
- Published: April 14, 2021
- Imprint: Elsevier
- No. of pages: 202
- Language: English
- Paperback ISBN: 9780323901376
- eBook ISBN: 9780323901383
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George Dimitrakopoulos
George J. Dimitrakopoulos, Assistant Professor at the Department of Informatics and Telematics of the Harokopio University of Athens, Greece. He is author of The Future of Intelligent Transport Systems (Elsevier, 2020) and more than 150 journals articles. He has been actively involved in more than 30 large scale R&D projects related to automated driving, transportation and urban mobility.
Affiliations and expertise
Assistant Professor, Department of Informatics and Telematics, Harokopio University of Athens, GreeceAT
Aggelos Tsakanikas
Aggelos Tsakanikas, Director at the Laboratory of Industrial and Energy Economics, and Associate Professor of Systems of Technology, Innovation and Entrepreneurship, National Technical University of Athens. His research and published works are in technology strategy, business strategy, innovation economics, entrepreneurship, public policies, innovation studies, socioeconomics research and information society.
Affiliations and expertise
Director, Laboratory of Industrial and Energy Economics, and Associate Professor of Systems of Technology, Innovation and Entrepreneurship, National Technical University of Athens, GreeceEP
Elias Panagiotopoulos
Ilias E. Panagiotopoulos, Post-Doc Researcher at the Department of Informatics and Telematics of the Harokopio University of Athens. He researches Intelligent Transportation Systems as well public perceptions of automated vehicles. He has been actively involved in large scale R&D projects in automated driving, transportation and urban mobility.
Affiliations and expertise
Post-Doc Researcher, Department of Informatics and Telematics, Harokopio University of Athens, GreeceRead Autonomous Vehicles on ScienceDirect