A smart city is a model for urban development that focuses on the quality, interactivity, and performance of infrastructure services using Information and Communication Technologies (ICTs). For example, smart public transportation is largely realized with efficient real time data exchange and service optimization facilitated by cloud computing or the Internet of Things (IoT) devices. Benefits are realized by breaking down petroleum like bitumen/tar and raw materials using computational tools integrated into the software based on cloud computing that allows instant access to processing, storage, control and updates over the internet on our computer. Bring IoT in, and it would be an array of sensors embedded in each vehicle, coupled with Global Positioning Systems (GPS) modules that collect information about where vehicles are at all times as well as how full they (and stops) are, any congestion or environmental concerns along the way. This paper investigates the cloud and IoT convergence concerning smart city public transportation systems by proposing cloud-IoT architecture for improving urban mobility. Fundamental techniques included the design of layered architecture and moving data collection, transmission, and processing into cloud platforms to enhance service availability and timeliness. Experimental results underscore the capability of this architecture to improve public transportation efficiency and rider experience in a way that creates foundations for deployable, intelligent transit systems. This cloud-IoT integration marks a major step for future sustainable and efficient urban transit solutions.