Application of Artificial Intelligence in Intelligent Transportation Systems

Dear Colleagues,

Intelligent Transportation Systems (ITS) is a broad term that encompasses a wide range of technologies, systems, and services that aim to improve the safety, efficiency, and sustainability of transportation networks. The development of ITS can be traced back to the early 1960s, when researchers began to explore the use of computers and communication technologies to improve transportation systems. Over the years, ITS has evolved to include a wide range of technologies and applications, including advanced traffic management systems, intelligent transportation systems, connected vehicle technologies, and automated driving systems. These technologies have been applied in various transportation modes, including cars, buses, trains, and airplanes, to improve their performance, safety, and sustainability. Today, ITS continues to be an important area of research and development, with numerous government agencies, private companies, and academic institutions working to advance the state of the art in this field. The deployment of advanced ITS technologies is seen as critical to achieving a more sustainable and efficient transportation system, as well as improving the quality of life for people living in urban areas.

Artificial intelligence (AI) is a branch of computer science that focuses on creating machines that can perform tasks that would typically require human intelligence, such as learning, problem solving, decision making, and perception. Today, AI is a rapidly evolving field with numerous applications in industries such as healthcare, finance, and transportation. Specifically, AI-powered technologies are being used to develop autonomous vehicles, and they are also being used in other intelligent transportation system applications.

Concurrently, in this Special Issue, we hope to showcase the latest results from researchers in their attempts to explore new AI methods and algorithms with applications in intelligent transportation systems which can improve the efficiency and sustainability of transportation.

I look forward to receiving your contributions.

Dr. Yuche Chen
Guest Editor

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• AI
• intelligent transportation systems
• machine learning