Challenges and Methods for Smart Transport System using Big Data Analytics and IOT

Abstract

The transport industry has seen a revolution in recent years due to the integration of Internet of Things (IoT) and big data analytics, which has given rise to the concept of smart transport systems. These systems optimise traffic flow, increase safety, and boost overall efficiency by utilising data generated by Internet of Things devices and advanced analytics techniques. But putting such systems into place comes with a lot of challenges, from scalability and data integration issues to privacy and security issues. This paper offers a thorough analysis of the difficulties encountered and the strategies used in the creation and implementation of big data analytics and Internet of Things (IoT) smart transport systems.

This paper offers insights for researchers, practitioners, and policymakers involved in the design and implementation of smart transportation solutions. It does this by thoroughly analysing the body of existing literature and case studies, identifying key challenges, and presenting creative solutions to address them.