The economic impact of information technology on energy and autonomous transportation systems

Uchechukwu Okonkwo *

College of Business, University of Louisville, Louisville Kentucky, United States.
 
Review
International Journal of Science and Research Archive, 2023, 09(01), 770–778.
Article DOI: 10.30574/ijsra.2023.9.1.0363
Publication history: 
Received on 02 April 2023; revised on 17 May 2023; accepted on 20 May 2023
 
Abstract: 
Autonomous transportation presents significant potential to enhance road efficiency, reduce traffic accidents, increase productivity, and minimize environmental impact. However, its adoption has faced resistance from various groups citing concerns about safety, cybersecurity risks, job displacement, and potential increases in environmental pollution due to the convenience of self-driving vehicles (SDVs). To fully realize the benefits of SDVs while mitigating these challenges, it is essential to proactively identify future obstacles and take strategic actions now to address them.
This paper employs a policy scenario methodology to construct a likely future for the year 2025, examining the implications of current trajectories in autonomous transportation. The purpose of this foresight analysis is to articulate the challenges we face today and project how they may evolve over the next six years. It highlights the key facilitators and inhibitors of change, as well as the economic impacts of autonomous transportation systems.
Specifically, the paper addresses critical issues such as autonomy, privacy, liability, cybersecurity, data protection, and safety, providing a comprehensive synthesis of the potential outcomes associated with SDV adoption. It will also offer actionable steps that policymakers, industry leaders, and other stakeholders can take to avoid these pitfalls while ensuring that society fully benefits from the advantages of autonomous transportation.
 
Keywords: 
Information Technology; Autonomous Transportation Systems; Economic Impact
 
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0