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Article . 2021 . Peer-reviewed
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Emerging opportunities for wildlife with sustainable autonomous transportation

Authors: Simoes Silva, I. M.; Calabrese, J.;

Emerging opportunities for wildlife with sustainable autonomous transportation

Abstract

Autonomous vehicles (AV) are expected to play a key role in the future of transportation, introducing a disruptive yet potentially beneficial change for vehicle-wildlife interactions. However, this assumption has not been critically examined. Here, we introduce a new conceptual framework covering the intersection between AV technological innovation and wildlife conservation to reduce wildlife-vehicle collisions. We suggest future research within this framework to focus on developing robust warning systems and animal detection methods for AV systems, and to incorporate wildlife-vehicle interactions into decision-making algorithms. With large-scale deployment a looming reality, it is vital to incorporate conservation and sustainability into the societal, ethical, and legal implications of AV technology. We appeal for further debate and interdisciplinary collaborations between scientists, developers, and policymakers.

Country
Germany
Related Organizations
Keywords

bepress|Physical Sciences and Mathematics, conservation, wildlife-vehicle collisions, sustainability, bepress|Life Sciences|Ecology and Evolutionary Biology, animal-vehicle collisions, traffic accidents, bepress|Life Sciences, self-driving cars, automated vehicles, conceptual framework, bepress|Physical Sciences and Mathematics|Environmental Sciences, autonomous vehicles, ecology, bepress|Physical Sciences and Mathematics|Environmental Sciences|Sustainability, bepress|Physical Sciences and Mathematics|Environmental Sciences|Natural Resources and Conservation

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
hybrid