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Policy Implications of Autonomous Vehicles

TLDR
In this article, the authors consider the potential of self-driving cars to transform the 21st century in the same way that mass-produced automobiles transformed the 20th and propose a number of policies to prepare the way for autonomous vehicles.
Abstract
Partially autonomous vehicles that can take over some driving functions, such as steering and speed control, are on the market today. Highly autonomous vehicles that can drive themselves in most situations should be available for sale in less than a decade. Fully autonomous vehicles that won’t even have an option for a human driver will be available within a decade after that.Such autonomous vehicles will transform the 21st century in the same way that mass-produced automobiles transformed the 20th. Auto travel will become safer. Congestion will decline if not disappear. People who can be productive rather than endure the stress of driving will look at travel in an entirely new way. Eventually, mobility will be available to everyone, not just those who have a driver’s license.Considering the technology available today and what experts think will be available in the near future, Congress and other policymakers should consider the following steps: Congress should stop funding expensive and obsolete rail transit projects, which will have no place in a future likely to be characterized by widespread sharing of self-driving cars. Congress should end the mandate for states and metropolitan planning organizations to write long-range transportation plans, as planners cannot predict the effects of autonomous vehicles and are likely to instead impose obsolete systems and designs on their regions. The National Highway Safety Traffic Commission should not mandate that vehicle-to-vehicle communications be installed in all new cars, as such devices will rapidly become obsolete, while voluntary devices in the form of smart phones that can use vehicle-to-vehicle applications are already in use by more than half the adult population. State and local governments should focus on maintaining existing infrastructure and making cost-effective improvements, such as dynamic traffic signal coordination, to alleviate today’s safety and congestion problems. The best thing state and local transportation agencies can do to prepare the way for autonomous vehicles is to cooperate in the development and use of consistent road striping, sign, signal, and similar standards that can be read by autonomous vehicles. By reducing congestion, autonomous cars may lead to a revival of inner cities, but by reducing the cost of travel, they may also lead to more rapid exurbanization. Cities and states should not try to restrict either trend.

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Citations
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Annex 4. size, sprawl, speed and the efficiency of cities

R Prud'homme, +1 more
TL;DR: In this paper, three potential determinants of urban efficiency, size (geographical spread), sprawl (the location of jobs and homes in the city) and speed (of movement of people and goods), are considered with reference to studies of Paris, London and other cities.
Journal ArticleDOI

What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective

TL;DR: How social influence, system characteristics, and individual factors determine individual acceptance of autonomous driving is revealed, with implications for practitioners.
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Modeling Users’ Adoption of Shared Autonomous Vehicles Employing Actual Ridership Experiences

TL;DR: In this paper , the authors analyzed data collected from a users' survey of a self-driving shuttle piloted downtown and on a university campus in Arlington, TX and found that individuals with limited access to a private vehicle, low-income people, young adults, university students, males, and Asians were more likely to ride this new service.
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Perception of autonomous vehicles by the modern society: a survey

TL;DR: In this paper, the authors investigated sociodemographic characteristics, including broader individual and societal acceptance, beyond technical issues to get a clear view of user acceptance of AVs, and found that respondents with a university degree (Bachelor/master/PhD) are less concerned about the liability of accidents and AV system failure than those without it.
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Evaluation of autonomous vehicle driving systems for risk assessment based on three-dimensional uncertain linguistic variables

TL;DR: A multi-criteria decision making (MCDM) methodology integrating DEcision MAking Trial and Evaluation Laboratory, Analytical Network Process, and VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) techniques under spherical fuzzy environment have been suggested to evaluate AVDS alternatives in terms of considered risk criteria.
References
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