Intelligent transport systems (ITS) are revolutionizing the way we move and interact with transportation. With the advent of big data, ITS has gained significant momentum, as it offers vast opportunities for data-driven decision-making and optimization of transport systems. In this article, we explore the role of big data in ITS, including how it is collected, processed, and analyzed to improve various aspects of transportation, such as traffic management, safety, efficiency, and sustainability. We also discuss the challenges and future prospects of big data in ITS, highlighting the need for robust data governance and privacy protection. The article concludes with insights on the potential of big data in shaping the future of transportation and transforming our cities’ mobility landscape.