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Road Vehicle Automation 7

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Cover of 'Road Vehicle Automation 7'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: The Automated Vehicles Symposium 2019
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    Chapter 2 Japan’s SIP-Adus Program on Road Vehicle Automation
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    Chapter 3 Developing End-to-End Regulation for Automated Vehicles in Australia
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    Chapter 4 Business Models for Shared and Autonomous Mobility
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    Chapter 5 Enabling Transportation Networks with Automated Vehicles: From Individual Vehicle Motion Control to Networked Fleet Management
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    Chapter 6 Catching up with Low-Speed Autonomous Shuttles
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    Chapter 7 Not So Autonomous Vehicles: A Path to Consumers’ Changing World
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    Chapter 8 Societal Expectations from Automated Road Mobility: Results of a Survey in Germany
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    Chapter 9 Democratising Driverless Futures: Five Lessons for Public Dialogue on AVs
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    Chapter 10 Automated Vehicles & Vulnerable Road Users: Representing the Under-Represented
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    Chapter 11 New Simulation Tools for Training and Testing Automated Vehicles
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    Chapter 12 Human, Machine, Sensor, Infrastructure: All Together Against Cyberattacks in AV
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    Chapter 13 Preparing for Automated Vehicles and Shared Mobility: The Existential Questions
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    Chapter 14 Benchmarking Automated and Autonomous Vehicle Policies in the United States
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    Chapter 15 Ethical Algorithms in Autonomous Vehicles: Reflections on a Workshop
Attention for Chapter 9: Democratising Driverless Futures: Five Lessons for Public Dialogue on AVs
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Chapter title
Democratising Driverless Futures: Five Lessons for Public Dialogue on AVs
Chapter number 9
Book title
Road Vehicle Automation 7
Published by
Springer, Cham, July 2019
DOI 10.1007/978-3-030-52840-9_9
Book ISBNs
978-3-03-052839-3, 978-3-03-052840-9
Authors

Jack Stilgoe, Nicole Badstuber, Stilgoe, Jack, Badstuber, Nicole

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Student > Bachelor 1 33%
Lecturer 1 33%
Readers by discipline Count As %
Social Sciences 2 67%
Engineering 1 33%