This report provides a comprehensive overview of the application of big data analytics in intelligent transportation systems (ITS). It begins by defining big data analytics and its role in uncovering valuable insights. The report then delves into the integrated components of ITS, focusing on electronic toll payment and traveler information services, and discusses their applications in electronic toll collection (ETC) and speed alert systems. The purpose of big data analytics in these applications is examined, highlighting its role in reducing costs, improving service delivery, and enhancing safety. The report further explains the working mechanisms of ETC and speed alert systems, linking them to Industry 4.0 principles such as interoperability, visualization, decentralization, real-time capability, service orientation, and modularity. Finally, the advantages and disadvantages of these applications are discussed, providing a balanced perspective on their impact on the transportation industry. Desklib provides access to similar solved assignments and resources for students.
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