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Autonomous Vehicle Implementation Predictions

Phone 250-508-5150 Todd Alexander Litman 2013-2022 You are welcome and encouraged to copy, distribute, share and excerpt this document and its ideas, provided the author is given attribution. Please send your corrections, comments and suggestions for improvement. Autonomous Vehicle Implementation Predictions Implications for Transport Planning 3 March 2022 By Todd Litman Victoria Transport Policy Institute Waymo s self-driving taxis are a well-publicized example of Autonomous vehicles. Summary This report explores the impacts of Autonomous (also called self-driving, driverless or robotic) vehicles, and their implications for transportation planning. It investigates how quickly such vehicles are likely to develop and be deployed based on experience with previous Vehicle technologies; their likely benefits and costs; how they will affect travel activity; and their impacts on road, parking and public transit planning.

Additional crashes caused by system failures, platooning, higher traffic speeds, additional risk-taking, and increased total vehicle travel. Reduced security and privacy. May be vulnerable to information abuse (hacking), and features such as location tracking and data sharing may reduce privacy. ers) Increased safety. May reduce crash risks and

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