AI-Assisted IoT Solutions for Optimized Public Transportation

Authors

https://doi.org/10.48314/ceti.v1i2.28

Abstract

This paper explores the potential of Artificial Intelligence (AI) and the Internet of Things (IoT) in enhancing public transportation systems. By leveraging AI and IoT, transportation networks can improve operational efficiency, reduce maintenance costs, enhance passenger satisfaction, and lower environmental impact. The research investigates various use cases such as predictive maintenance, demand prediction, and real-time passenger information systems while also addressing implementation challenges, including data privacy, scalability, and infrastructure costs. Through case studies and an analysis of real-world examples, the paper illustrates the transformative role of AI and IoT in making public transportation systems smarter, more efficient, and more sustainable.   

Keywords:

Artificial Intelligence, Internet of things, Public transportation systems, Operational efficiency, Maintenance cost reduction, Passenger satisfaction

References

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Published

2024-05-21

Issue

Vol. 1 No. 2 (2024): Computational Engineering and Technology Innovations

Section

Articles

How to Cite

Kumar, G. (2024). AI-Assisted IoT Solutions for Optimized Public Transportation. Computational Engineering and Technology Innovations, 1(2), 69-75. https://doi.org/10.48314/ceti.v1i2.28