front cover of Are We There Yet?
Are We There Yet?
The Myths and Realities of Autonomous Vehicles
Edited by Michael A. Pagano
University of Illinois Press, 2020
Autonomous vehicle (AV) technology represents a possible paradigm shift in our way of life. But complex challenges and obstacles impose a reality at odds with the utopian visions propounded by AV enthusiasts in the private and public sectors.
 
The new volume in the Urban Agenda series examines the technological questions still surrounding autonomous vehicles and the uncertain societal and legislative impact of widespread AV adoption. Assessing both short- and long-term concerns, the authors probe how autonomous vehicles might change transportation but also land use, energy consumption, mass transit, commuter habits, traffic safety, job markets, the freight industry, and supply chains. At the same time, the essays discuss opportunities for industry, researchers, and policymakers to make the autonomous future safer, more efficient, and more mobile.
 
Contributors: Austin Brown, Stan Caldwell, Chris Hendrickson, Kazuya Kawamura, Taylor Long, and P. S. Srira.
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front cover of Autonomous Vehicle Technology
Autonomous Vehicle Technology
A Guide for Policymakers
James M. Anderson
RAND Corporation, 2014
The automotive industry appears close to substantial change engendered by “self-driving” technologies. This technology offers the possibility of significant benefits to social welfare—saving lives; reducing crashes, congestion, fuel consumption, and pollution; increasing mobility for the disabled; and ultimately improving land use. This report is intended as a guide for state and federal policymakers on the many issues that this technology raises.
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Autonorama
The Illusory Promise of High-Tech Driving
Peter Norton
Island Press, 2021
“The foundation has been laid for fully autonomous,” Elon Musk announced in 2016, when he assured the world that Tesla would have a driverless fleet on the road in 2017. “It’s twice as safe as a human, maybe better.” Promises of technofuturistic driving utopias have been ubiquitous wherever tech companies and carmakers meet.

In Autonorama: The Illusory Promise of High-Tech Driving, technology historian Peter Norton argues that driverless cars cannot be the safe, sustainable, and inclusive “mobility solutions” that tech companies and automakers are promising us. The salesmanship behind the driverless future is distracting us from investing in better ways to get around that we can implement now. Unlike autonomous vehicles, these alternatives are inexpensive, safe, sustainable, and inclusive.

Norton takes the reader on an engaging ride —from the GM Futurama exhibit to “smart” highways and vehicles—to show how we are once again being sold car dependency in the guise of mobility. He argues that we cannot see what tech companies are selling us except in the light of history. With driverless cars, we’re promised that new technology will solve the problems that car dependency gave us—zero crashes! zero emissions! zero congestion!  But these are the same promises that have kept us on a treadmill of car dependency for 80 years.

Autonorama is hopeful, advocating for wise, proven, humane mobility that we can invest in now, without waiting for technology that is forever just out of reach. Before intelligent systems, data, and technology can serve us, Norton suggests, we need wisdom. Rachel Carson warned us that when we seek technological solutions instead of ecological balance, we can make our problems worse. With this wisdom, Norton contends, we can meet our mobility needs with what we have right now.
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front cover of The Enemy of Good
The Enemy of Good
Estimating the Cost of Waiting for Nearly Perfect Automated Vehicles
Nidhi Kalra
RAND Corporation, 2017
How safe should highly automated vehicles (HAVs) be before they are allowed on the roads for consumer use? In this report, RAND researchers use the RAND Model of Automated Vehicle Safety to compare road fatalities over time under a policy that allows HAVs to be deployed when their safety performance is just moderately better than human drivers and a policy that waits to deploy HAVs only once their performance is nearly perfect.
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