Revolutionizing Transportation with Intelligent Solutions
Abstract
This paper explores the revolutionization of transportation through intelligent solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is transforming various aspects of transportation, including mobility, logistics, and traffic management. The study highlights the application of AI techniques such as predictive maintenance, route optimization, and autonomous navigation in enhancing efficiency, safety, and sustainability in transportation systems. Additionally, it discusses the integration of AI with connected vehicles, smart infrastructure, and mobility-as-a-service platforms to enable seamless mobility, congestion reduction, and carbon emission mitigation. The paper also addresses challenges such as cybersecurity, regulatory frameworks, and societal acceptance in the adoption of AI-driven engineering solutions in transportation. It emphasizes the importance of interoperability, data governance, and user-centric design in harnessing AI's potential to shape the future of mobility and create more accessible, equitable, and resilient transportation systems.
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- Alam, M. R., Reaz, M. B. I., Ali, M. A. M., & Khan, M. K. (2012). A review of smart homes—Past, present, and future. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 42(6), 1190-1203.
- Chen, C. L. (2018). Artificial intelligence-based control strategies for hybrid electric vehicles: A review. IEEE Transactions on Intelligent Transportation Systems, 20(4), 1267-1281.
- Du, D., Song, G., Wang, C., & Liao, C. (2018). A review on the internet of things (IoT), cloud computing, and big data technologies. International Journal of Information Management, 47, 70-77.
- Kim, H. J., Kim, S. H., & Kim, J. H. (2018). Review of big data analytics, artificial intelligence, and nature-inspired computing models for quality control in manufacturing industry. International Journal of Precision Engineering and Manufacturing-Green Technology, 5(2), 261-279.
- Lee, K., & Koo, K. (2015). Application of artificial intelligence in automatic vehicle navigation and control. In Control and Automation (pp. 145-158). Springer, Cham.
- Tsai, C. W., Lai, C. F., & Chiang, M. C. (2017). A review of artificial intelligence and Internet of Things enhanced supply chain management in smart manufacturing. Journal of Manufacturing Systems, 43, 241-251.
- Zong, H. A., Li, L., & Liu, J. (2018). A review of artificial intelligence-based energy management systems for electric vehicles. IEEE Access, 6, 67454-67468.