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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Autonomous Vehicles in Logistics: Will AI Replace Drivers or Empower Them?

Authors: Bhavya Vashisht;

Autonomous Vehicles in Logistics: Will AI Replace Drivers or Empower Them?

Abstract

The emergence of autonomous vehicles (AVs) has introduced a transformative shift in the logistics industry, particularly in the USA trucking sector. While some view AV technology as a potential replacement for human drivers, others see it as a tool to enhance driver roles, addressing persistent challenges such as driver shortages, safety, and operational inefficiencies. This paper explores the dual narrative of AV adoption—whether AI will replace drivers or empower them—through a detailed analysis of current technological trends, case studies, and industry practices. It examines the implications of AV deployment on the trucking workforce, the regulatory and infrastructural challenges involved, and the socio-economic impact of large-scale adoption. A driver-centric approach to integrating autonomous technology is proposed, highlighting the potential for collaboration between drivers and AI systems to achieve greater efficiency and safety. The findings suggest that a balanced strategy, combining technological innovation with workforce adaptation, will be critical to shaping the future of the USA trucking industry.

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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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citations
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!
0
Average
Average
Average
Green