Literature DB >> 30192527

A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles.

Morteza Taiebat1,2, Austin L Brown3, Hannah R Safford4, Shen Qu1, Ming Xu1,2.   

Abstract

Connected and automated vehicles (CAVs) are poised to reshape transportation and mobility by replacing humans as the driver and service provider. While the primary stated motivation for vehicle automation is to improve safety and convenience of road mobility, this transformation also provides a valuable opportunity to improve vehicle energy efficiency and reduce emissions in the transportation sector. Progress in vehicle efficiency and functionality, however, does not necessarily translate to net positive environmental outcomes. Here, we examine the interactions between CAV technology and the environment at four levels of increasing complexity: vehicle, transportation system, urban system, and society. We find that environmental impacts come from CAV-facilitated transformations at all four levels, rather than from CAV technology directly. We anticipate net positive environmental impacts at the vehicle, transportation system, and urban system levels, but expect greater vehicle utilization and shifts in travel patterns at the society level to offset some of these benefits. Focusing on the vehicle-level improvements associated with CAV technology is likely to yield excessively optimistic estimates of environmental benefits. Future research and policy efforts should strive to clarify the extent and possible synergetic effects from a systems level to envisage and address concerns regarding the short- and long-term sustainable adoption of CAV technology.

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Year:  2018        PMID: 30192527     DOI: 10.1021/acs.est.8b00127

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

1.  Energy and emissions implications of automated vehicles in the U.S. energy system.

Authors:  Kristen E Brown; Rebecca Dodder
Journal:  Transp Res D Transp Environ       Date:  2019       Impact factor: 5.495

2.  Simulation-Based Analysis of "What-If" Scenarios with Connected and Automated Vehicles Navigating Roundabouts.

Authors:  Maria Luisa Tumminello; Elżbieta Macioszek; Anna Granà; Tullio Giuffrè
Journal:  Sensors (Basel)       Date:  2022-09-03       Impact factor: 3.847

  2 in total

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