Impact of Artificial Intelligence in the Transportation Sector
Keywords:
Transportation, Artificial Intelligence, Technology, Machine LearningAbstract
Purpose: The purpose of the present article is to highlight the role of Artificial Intelligence (AI)
in the transportation industry and the various technologies being integrated to improve the
service and practical applications. The expected changes and challenges in transportation in the
future are focused in this paper.
Design/methodology/approach: A systematic study on the emerging technologies of AI and
applied in the transportation sector is presented in the form of a viewpoint.
Findings: AI certainly enhances the transportation services, however it cannot surpass the
human touch which is an essential determinant of experiential transportation services. AI acts as
an effective complementary dimension to the future of transportation.
Practical implications: The AI applications in transport are being constantly updated in various
frameworks. The three fundamental cases are the following:
(i)
The utilization of AI in corporate choice-making, arranging, and overseeing
transportation frameworks. This can be imperative to overcome the issue of a ceaselessly
rising request with restricted street supply. This incorporates a better utilization of
precise forecasting and location models pointing toward growing figure activity
volumes, activity conditions, and occurrences.
(ii)
Applications of AI aiming to improve public transport is also discussed. It is due to the
understanding that open transportation is respected as an economical mode of versatility.
Originality/value : The present viewpoint discusses the application and role of AI in the
transportation industry with the help of relevant examples and theory. The present paper
highlights the different technologies and mathematical models being used and will be used in the
future.
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Copyright (c) 2020 Raul Rodriguez
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Published in Journal of Technology & Governance. Published by Creactos Projects (OPC) Private Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at http://creativecommons.org/licences/by/4.0/legalcode
