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Big Data and Artificial Intelligence in the Transportation Economy

Author

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  • Ma, Jiayi

Abstract

With the rapid development of the global economy and the increasing demand for transportation, the traditional mode of transportation management has gradually shown its limitations in dealing with the complex and changing transportation environment. The rise of big data and artificial intelligence technology has brought new opportunities to the field of transportation economy. This paper discusses the application of big data and artificial intelligence in transportation economy, focusing on its application in traffic flow prediction, transportation demand analysis, cost management, intelligent monitoring, automated warehousing and customer experience optimization, etc., with a view to improving transportation efficiency, reducing operation costs, and providing strong support for the intelligent development of modern transportation system.

Suggested Citation

  • Ma, Jiayi, 2025. "Big Data and Artificial Intelligence in the Transportation Economy," Pinnacle Academic Press Proceedings Series, Pinnacle Academic Press, vol. 1, pages 144-150.
    • Handle: RePEc:dba:pappsa:v:1:y:2025:i::p:144-150
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    Cited by:

    1. Ewa Puzio & Lei Lei Zhang, 2025. "The Role οf the Internet of Things and Artificial Intelligence in the Development of Intelligent Transport," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 1393-1407.
    2. R. L. Manogna & Ashray Kashyap & Samyak Sanat Jain, 2025. "Is there a universal fit? Employing machine learning to investigate the diversity and prominence of factors influencing early-stage entrepreneurship," Journal of Innovation and Entrepreneurship, Springer, vol. 14(1), pages 1-26, December.
    3. Elham Dashti & Reza Rostamzadeh, 2026. "The impact of big data-artificial intelligence on sustainable performance considering the mediating role of green supply chain practices," Transformations and Sustainability, Centre for Productivity and Sustainability Analysis, vol. 2(1), pages 41-64.
    4. Renfei, Chen & Zhongwen, Li & Guangfei, Yang & Wenli, Li & Zitong, Guo, 2026. "Exploring how artificial intelligence capabilities impact corporate sustainability performance: Insights from Chinese manufacturing firms," Technovation, Elsevier, vol. 149(C).
    5. Wu, You & Xu, Wanyu, 2025. "Digital innovation and firm internationalization: Insights from publicly listed firms in China," Economic Modelling, Elsevier, vol. 151(C).
    6. Geoffrey Ditta, 2026. "Artificial Intelligence and Human Resource Management: A Counterfactual Analysis of Productivity," Academicus International Scientific Journal, Entrepreneurship Training Center Albania, issue 33, pages 11-28, January.

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