An Overview of Artificial Intelligence Technologies and Their Applications in The Intelligentization of Transportation

Document Type : Research Article

Authors

1 Bachelor of Civil Engineering student of Amirkabir University of Technology

2 - M.Sc Civil Engineering and Transportation Planning, AmirKabir University of Technology, Tehran, Iran

3 Full professor, Department of Civil & Environment, AmirKabir University of Technology, Tehran, Iran

Abstract
This article presents the results of a study on the most active applications of artificial intelligence (AI) technologies. The advantages and prominent features of AI technologies for gaining a competitive edge in various fields of activity have been considered. Artificial Intelligence (AI) can be defined as the ability of a machine to perform cognitive functions such as perception, reasoning, learning, and problem-solving that humans can easily do. In the past two decades, AI has received widespread attention due to access to a vast amount of data generated through the internet. Processing this data using advanced algorithms has brought significant benefits to governments and businesses in recent years. The development of machine learning algorithms supported by technologies such as Internet of Things (IoT), Robotic Process Automation (RPA), Computer Vision, and Natural Language Processing (NLP) has contributed to the growth of artificial intelligence. This article categorizes a variety of issues in the transportation industry under the title of Intelligent Transportation Systems (ITS). Some of the targeted subsystems include traffic management, public transportation, safety management, production, and logistics of intelligent transportation systems, where the benefits of artificial intelligence are utilized. This study examines specific areas of interest in the transportation industry and related issues, exploring possible solutions using artificial intelligence. This approach involves a secondary study based on available national data from various sources. Furthermore, discussions on artificial intelligence solutions for addressing transportation industry challenges in different countries around the world have been raised.

Keywords

Subjects
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  • Receive Date 16 April 2024
  • Revise Date 22 May 2024
  • Accept Date 23 May 2024
  • First Publish Date 23 May 2024
  • Publish Date 22 October 2024