Artificial Intelligence Applications in People Transportation

This article is a technical report that discusses the role of artificial intelligence (AI) in people transportation, focusing on its applications and implications. It begins by defining AI and distinguishing it from machine learning, emphasizing AI's capability to mimic cognitive functions such as learning and problem-solving. The report outlines how AI is currently being utilized to enhance operational efficiency in public transportation, leveraging vast data availability to improve planning, resource management, and passenger experiences. Several case studies illustrate the practical applications of AI and machine learning in areas such as bus arrival predictions, demand-responsive transport scheduling, and revenue management. The report also addresses the challenges and complexities of implementing AI in transportation systems, highlighting the importance of quality data and collaborative decision-making in optimizing operations. Overall, the report presents a comprehensive view of how AI is transforming the transportation sector and the potential future developments in this field.