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Prospects for Implementation of Autonomous Vehicles and Associated Infrastructure in Developing Countries

Author(s): ORCID
ORCID

Medium: journal article
Language(s): English
Published in: Infrastructures, , n. 12, v. 9
Page(s): 237
DOI: 10.3390/infrastructures9120237
Abstract:

This study explores the implementation and impact of autonomous vehicle (AV) systems, particularly in developing countries. While AVs promise enhanced road safety by reducing crashes, injuries, and fatalities, their adoption faces significant challenges, including public acceptance and infrastructure readiness. A mixed methods approach was employed, combining quantitative data from surveys of approximately 1500 randomly selected individuals and qualitative insights from in-depth interviews with policymakers, traffic engineers, and industry representatives. The quantitative analysis revealed high levels of perceived usefulness (78.8%), positive attitudes (87.78%), and expected benefits (86.09%) among respondents, indicating optimism about AVs’ potential to improve traffic efficiency and safety. However, concerns about technical reliability, cybersecurity, and the cost of infrastructure upgrades persist. Comparative analysis of physical and digital infrastructure highlighted significant gaps, particularly in road quality, markings, and internet connectivity. Policy implications emphasize the need for targeted public education to build trust and address safety concerns, regulatory reforms to ensure cybersecurity and ethical compliance, and strategic investments in infrastructure to meet AV requirements. Drawing on lessons from international contexts, the study recommends proactive stakeholder engagement and community outreach to align technological advancements with societal needs. These findings provide a roadmap for policymakers to navigate the challenges of AV adoption in Ethiopia and similar contexts, ensuring the integration of automation into sustainable and efficient transportation systems.

Copyright: © 2024 the Authors. Licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10812542
  • Published on:
    07/01/2025
  • Last updated on:
    25/01/2025
 
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