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Journal ArticleDOI

Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

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TLDR
In this article, the authors proposed a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy, which can be used to improve vehicle safety, congestion, and travel behavior.
Abstract
Autonomous vehicles (AVs) represent a potentially disruptive yet beneficial change to our transportation system. This new technology has the potential to impact vehicle safety, congestion, and travel behavior. All told, major social AV impacts in the form of crash savings, travel time reduction, fuel efficiency and parking benefits are estimated to approach $2000 to per year per AV, and may eventually approach nearly $4000 when comprehensive crash costs are accounted for. Yet barriers to implementation and mass-market penetration remain. Initial costs will likely be unaffordable. Licensing and testing standards in the U.S. are being developed at the state level, rather than nationally, which may lead to inconsistencies across states. Liability details remain undefined, security concerns linger, and without new privacy standards, a default lack of privacy for personal travel may become the norm. The impacts and interactions with other components of the transportation system, as well as implementation details, remain uncertain. To address these concerns, the federal government should expand research in these areas and create a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy.

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Citations
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Journal ArticleDOI

Driving to Safety: How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability?

TL;DR: In this paper, the authors calculate the number of miles of driving that would be needed to provide clear statistical evidence of autonomous vehicle safety and show that fully autonomous vehicles would have to be driven hundreds of millions of miles and sometimes hundreds of billions of miles to demonstrate their reliability in terms of fatalities and injuries.
Journal ArticleDOI

The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios

TL;DR: In this article, the authors describe the design of an agent-based model for shared autonomous vehicle (SAV) operations, the results of many case-study applications using this model, and the estimated environmental benefits of such settings, versus conventional vehicle ownership and use.
Journal ArticleDOI

Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles

TL;DR: In this article, the authors identify specific mechanisms through which automation may affect travel and energy demand and resulting GHG emissions and bring them together using a coherent energy decomposition framework, and explore the net effects of automation on emissions through several illustrative scenarios.
Journal ArticleDOI

User preferences regarding autonomous vehicles

TL;DR: In this article, a stated preference questionnaire is distributed to 721 individuals living across Israel and North America, based on the characteristics of their current commutes, individuals are presented with various scenarios and asked to choose the car they would use for their commute.
References
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Proceedings ArticleDOI

Histograms of oriented gradients for human detection

TL;DR: It is shown experimentally that grids of histograms of oriented gradient (HOG) descriptors significantly outperform existing feature sets for human detection, and the influence of each stage of the computation on performance is studied.
Proceedings ArticleDOI

Describing objects by their attributes

TL;DR: This paper proposes to shift the goal of recognition from naming to describing, and introduces a novel feature selection method for learning attributes that generalize well across categories.
Book

The High Cost of Free Parking

TL;DR: In this article, the authors show that minimum parking requirements can increase development costs by more than 10 times the impact fees for all other public purposes combined, without considering either the price motorists pay for parking or the cost of providing the required parking spaces.
Journal ArticleDOI

A multiagent approach to autonomous intersection management

TL;DR: This article suggests an alternative mechanism for coordinating the movement of autonomous vehicles through intersections and demonstrates in simulation that this new mechanism has the potential to significantly outperform current intersection control technology--traffic lights and stop signs.
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What is the cost of fully autonomous vehicles?

The cost of fully autonomous vehicles is initially high, potentially decreasing to around $1000 to $1500 more per vehicle as technology advances, but affordability remains a key challenge.