Published Paper Details:

Research in intelligent transportation systems (ITS) is becoming increasingly focused on big data, which can be seen in numerous projects around the world. Data-driven approaches are needed because of the volume and availability of data in the Intelligent Transportation System (ITS). Big Data algorithms are being used to improve transportation applications' intelligence. There has been a rise in the use of Big Data algorithms in both academic and industrial contexts in ITS. There are many uses for ITS big data algorithms, including but not limited to signal recognition, object detection and traffic flow prediction as well as travel time and route planning and vehicle and road safety. There will be a bibliography, an in-depth look at the application of ITS, and an examination on some well-known Big Data models in the context of ITS. This research sheds light on how Big Data algorithms are being used in ITS, revealing new areas of application and bringing together models and applications in new ways.