Big Data is an evolving exemplar moreover, particularly within in the transportation system, has now become a powerful enticement of global interest. On the basis, Big Data is often seen intact undertaking whereas transit system fore efficiently handle utterly the information needed by aforementioned part to provide secure, unstained including reliable modes of transit, and to create custom the recipient's transport experience. By having access to centralized services, a smart city enhances the effectiveness of its inhabitants. Intelligent Transportation Systems (ITS) play an essential role in the transformation of a cosmopolitan environment into a digital city. With the last two decennary, numerous ITS technologies have been deployed, such as city-wide traffic regulation control, smart parking, general transport information assistance (transit vehicle, rail, compact, air, etc.), shipping, legitimate traffic, measuring of highway speed restrictions, etc. Most subsequent Data Analytics insight is needed for transport and movability industry, ITS implementations, threshold instances, areas and use cases, including the routing, planning, ability to track of infrastructure, platform architecture, and more, are examined in this article. Finally, the paper tackles some open problems in ITS with the use of big data analytics.