Artificial Intelligence in Transportation

Authors

  • Siru Wang Beijing No. 5 High School

DOI:

https://doi.org/10.62177/jaet.v1i3.98

Keywords:

Artificial Intelligence, Big Data, Intelligent Transportation

Abstract

 In recent years, the gradual maturation of artificial intelligence (AI) and big data technology has promoted the deep integration of the "AI + transportation" model, which has been widely used in many transportation segments, and the intelligent transportation has been increasingly emphasized, on the one hand, it is an important method for the intelligent management of transportation, and on the other hand, it improves the efficiency of the implementation of the traffic management system. This paper analyzes the mainstream technology and application of artificial intelligence in the field of transportation by reviewing various types of literature and summarizing the summary of information, compares and evaluates the advantages and disadvantages of the application of different artificial intelligence technologies in the field of transportation, summarizes the progress of intelligent transportation, summarizes the advantages of different applications and the technical shortcomings and bottlenecks of the development of different applications, puts forward proposals for the application of artificial intelligence technology in the field of transportation, and looks forward to the future direction of development, in order to promote the further development of intelligent transportation.

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References

A. Cheng, G. Jiang, X. Teng, W. Xu, Y. Li, L. Wu, Y. Chiu, Changes in low-carbon transportation efficiency of Chinese roads after considering the impact of new energy vehicles, Transport Policy. 159 (2024), 10.1016/j.tranpol.2024.09.020.

G. Sariyer, S.K. Mangla, M.E. Sozen, G. Li, Y. Kazancoglu, Leveraging explainable artificial intelligence in understanding public transportation usage rates for sustainable development, Omega-Int. J. Manage. S. 127 (2024), 10.1016/j.omega.2024.103105.

Y. Zhu, C. Liu, C. Chen, X. Lyu, Z. Chen, B. Wang, F. Hu, H. Li, J. Dai, B. Cai, W. Wang, Privacy-Preserving Large-Scale AI Models for Intelligent Railway Transportation Systems: Hierarchical Poisoning Attacks and Defenses in Federated Learning, Cmes-Comp. Model. Eng. 141 (2) (2024) 1305-1325, 10.32604/cmes.2024.054820.

F.J.J. Reis, R.K. Alaiti, C.S. Vallio, L. Hespanhol, Artificial intelligence and Machine Learning approaches in sports: Concepts, applications, challenges, and future perspectives, Braz. J. Phys. Ther. 28 (3) (2024), 10.1016/j.bjpt.2024.101083.

A. Waqar, Intelligent decision support systems in construction engineering: An artificial intelligence and machine learning approaches, Expert Syst. Appl. 249 (2024), 10.1016/j.eswa.2024.123503.

S. Abirami, M. Pethuraj, M. Uthayakumar, P. Chitra, A systematic survey on big data and artificial intelligence algorithms for intelligent transportation system, Case Studies On Transport Policy. 17 (2024) 101247, 10.1016/j.cstp.2024.101247.

M. Tang, Z. Fang, C. Fan, Z. Zhang, L. Kong, H. Chen, Z. Zeng, Y. Yang, L. Qi, An AI-driven electromagnetic-triboelectric self-powered and vibration-sensing system for smart transportation, Eng. Struct. 323 (2025), 10.1016/j.engstruct.2024.119275.

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How to Cite

Wang, S. (2024). Artificial Intelligence in Transportation. Journal of Advances in Engineering and Technology, 1(3), 26–32. https://doi.org/10.62177/jaet.v1i3.98 (Original work published December 12, 2024)

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Section

Articles