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AI in Transportation: Revolutionizing Mobility and Logistics

by Linda Moore 1,*
1
Lappeenranta University of Technology
*
Author to whom correspondence should be addressed.
JASES  2022 4(3):104; https://doi.org/10.xxxx/xxxxxx
Received: 1 July 2022 / Accepted: 4 August 2022 / Published Online: 2 September 2022

Abstract

This paper delves into the transformative role of artificial intelligence (AI) in transportation, focusing on how AI technologies are revolutionizing mobility and logistics. Through an analysis of case studies and industry insights, the study investigates how AI-driven solutions such as autonomous vehicles, route optimization, and predictive maintenance are reshaping various aspects of transportation systems, including public transit, freight logistics, and urban mobility. It discusses the potential benefits of AI in improving safety, reducing congestion, and enhancing efficiency in transportation networks, while also addressing challenges related to regulatory frameworks, cybersecurity, and societal acceptance. Additionally, the paper examines the role of AI in enabling more sustainable and accessible transportation solutions, by providing real-time traffic management, personalized travel recommendations, and multimodal integration. Furthermore, it discusses the importance of collaboration between government agencies, technology providers, and transportation stakeholders, investment in AI infrastructure, and policy support in harnessing the full potential of AI in transportation. The findings underscore the transformative power of AI in creating more connected, efficient, and sustainable transportation systems to meet the evolving needs of society.


Copyright: © 2022 by Moore. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Moore, L. AI in Transportation: Revolutionizing Mobility and Logistics. Journal of Arts, Society, and Education Studies, 2022, 4, 104. doi:10.xxxx/xxxxxx
AMA Style
Moore L. AI in Transportation: Revolutionizing Mobility and Logistics. Journal of Arts, Society, and Education Studies; 2022, 4(3):104. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Moore, Linda 2022. "AI in Transportation: Revolutionizing Mobility and Logistics" Journal of Arts, Society, and Education Studies 4, no.3:104. doi:10.xxxx/xxxxxx

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References

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