Integrating Cloud Computing for Intelligent Transportation Solutions in Smart Cities
Aditya Kumar Panda, Amlan Anurag Lenka, Ayush Mohapatra, Bikram Keshari Rath, Ayush Adarsh Parida, Hitesh Mohapatra
Abstract
Urban transportation systems face many challenges, such as traffic congestion, pollution, and inefficient infrastructure. To tackle these problems, cities are increasingly adopting cloud-based smart transportation solutions. These solutions use cloud computing to integrate IoT devices, data analytics, and real-time monitoring, optimizing urban mobility. Cloud platforms allow for efficient data collection, storage, and analysis, helping city authorities make informed decisions. This approach is scalable, flexible, and cost-effective, promoting smarter and more sustainable urban transportation systems. By leveraging cloud computing, cities can improve traffic management, reduce congestion, and enhance decision-making, leading to better efficiency, sustainability, and safety. The proposed model for smart transportation involves using cloud computing, IoT, data analytics, and advanced AI algorithms to create more connected and livable urban environments.