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University of Michigan
This study explores the full life cycle impacts of connected and automated vehicles beyond just operational impacts to understand net energy and environmental performance.
The Mcity driverless shuttle began operating on the University of Michigan's campus in June 2018. This report focuses on how the researchers collected data and designed the project in order to achieve the project goals of leaning how people react to riding in the shuttles and a how road users interact with the driverless shuttles.
This report compares and analyzes the "relative advantages and disadvantages of autonomous and connected large trucks relative to light-duty vehicles."
The goals of this study were to explore e-hail (e.g., Uber/Lyft) knowledge, use, reliance, and future expectations among older adults. Specifically, we aimed to identify factors that were related to e-hail, and how older adults view this mode as a potential future transportation option. Data were collected from a sample of older adults using a pencil-and-paper mailed survey. Univariate, bivariate, and regression techniques were used to assess the relationships among e-hail and several demographic and other factors. E-hail may be a viable future option for older adults who have limited or stopped driving. More exposure to e-hail and continued evolution of these services is required to overcome older adults’ lower internet/smartphone use. Policies could be implemented at departments of motor vehicles to pair information or training on transportation alternatives (like e-hail) with elimination of driving privileges, or at doctors’ offices, senior centers, or hospitals. Potential underlying reasons for the findings are also discussed.
The forces that will influence the environmental impacts of large-scale AV adoption are identified to help determine necessary future research directions. It is too early to determine which of these forces will dominate the system and dictate whether AV adoption will result in net reductions or increases in greenhouse gas (GHG) emissions. The environmental research community must develop a better understanding of the disruptive forces of AVs to help develop a strategy to reduce transportation emissions. Particular emphasis is needed regarding how AVs will be adopted and used, as these patterns may ultimately dictate the environmental impacts of AVs. Without better integration of engineering, social science, and planning disciplines to model future adoption scenarios, important opportunities to steer markets toward sustainable outcomes will be lost.
The purpose of the Primer is to describe and document new integrative approaches, guiding principles, and living examples that will serve SMART partner communities. It is also meant to serve businesses, community leaders, transportation practitioners and policymakers who are interested in improving and transforming their transportation systems (and related economies) as whole systems. This Primer aims to contribute to a growing literature of integrative and practical approaches for implementing multi-modal, “next generation” transportation and transportation infrastructure. More broadly, it aims to contribute to advancing livability, sustainability, and economic vitality in communities and city regions of the world through systems-based transportation.
One of the big promises of self-driving vehicles is the idea that autonomous vehicles will liberate people from driving. In this vision of the future, passengers will scan news reports on phones and tablets, pour-over notes and briefings for important meetings, and view videos on their handheld devices. They will reclaim the hours once wasted clinging to a steering wheel. Unless they end up developing a headache or becoming dizzy, drowsy, or nauseated.
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