The Application and Challenges of Artificial Intelligence in the Transportation Field

Authors

  • Yuli Fu School of Economics and Business Administration, Chongqing University
  • Yitong Jin School of Chemistry, Jilin University
  • Yutian Shi School of Economics, Southwestern University of Finance and Economics
  • Yizhen Wang School of Business, Northwest University of Political Science and Law
  • Kaining Wang School of Accountancy, Shanghai University of Finance and Economics
  • Yuqiang Liang School of Horticulture, South China Agricultural University

DOI:

https://doi.org/10.61603/ceas.v1i2.21

Keywords:

artificial intelligence, advanced driver assistance systems, driver state monitoring

Abstract

In this paper, we analyze the key role played by artificial intelligence (AI) technology in shaping the future of the automotive industry, aiming to provide a comprehensive guide for automotive enterprises embracing the transformative potential of AI integration. We begin by establishing the impact of AI in the transportation and automotive sectors, leading to an innovative AI solution: “Automotive Intelligent AI Assistant”. This solution harmonizes the functionalities of Advanced Driver Assistance Systems (ADAS) and Driver State Monitoring (DMS). The system aims to address inherent flaws in both systems while enhancing overall vehicle safety and performance. Through case analyses and challenge assessments, we show how enterprises can be empowered to gain a deep understanding of the implementation of this cutting-edge solution. Furthermore, we emphasize market potential, identify key concerns, and highlight the advantages offered by this integration.

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Published

2023-12-22

Issue

Section

Articles

How to Cite

The Application and Challenges of Artificial Intelligence in the Transportation Field. (2023). Cambridge Explorations in Arts and Sciences, 1(2). https://doi.org/10.61603/ceas.v1i2.21