The design and development of a car parking management system using cloud computing is a critical endeavour for addressing the challenges faced by parking facilities in urban areas like Lusaka. This thesis proposes a comprehensive solution that leverages the power of cloud computing to enhance the efficiency, scalability, and accessibility of car parking management in Lusaka, Zambia. The existing car parking systems in Lusaka often suffer from issues such as limited capacity, manual processes, lack of real-time monitoring, and inadequate user experiences. By harnessing cloud computing technology, the proposed system aims to overcome these limitations and provide an advanced solution to efficiently manage parking spaces in the city. The research begins with a thorough analysis of the requirements specific to Lusaka's parking environment, considering factors like the number of vehicles, parking lot distribution, traffic patterns, and user expectations. The functional and non functional requirements are defined to guide the system's design and development process effectively. The design phase focuses on establishing a robust system architecture that integrates cloud infrastructure, data models, user interfaces, and security measures. The cloud infrastructure design takes into account the scalable and reliable nature of cloud services to ensure optimal performance and flexibility. Additionally, the system design encompasses user-friendly interfaces that enable drivers to locate available parking spaces, make reservations, and receive real-time updates. The implementation phase involves selecting suitable technologies and frameworks to develop the backend and frontend components of the system. The cloud services integration enables seamless storage, processing, and retrieval of parking data, while adhering to stringent security and privacy considerations. Rigorous testing and quality assurance procedures are conducted to ensure the system's reliability and usability. The evaluation phase encompasses performance evaluation, user acceptance testing, and a comparison with existing parking systems in Lusaka. Key performance metrics such as response time, throughput, and scalability are measured to validate the effectiveness of the proposed system. User feedback and satisfaction surveys are conducted to assess the system's usability and identify areas for improvement. The deployment and maintenance phase outlines strategies for deploying the system in Lusaka's parking facilities, considering factors such as system integration with existing infrastructure and cost analysis. Furthermore, future enhancements and recommendations are provided to facilitate continuous improvement and scalability of the system. The design and development of a cloud-based car parking management system in Lusaka aims to revolutionize the city's parking facilities by offering real-time monitoring, automation, and improved user experiences. The proposed system can effectively address the challenges faced by Lusaka's parking industry, optimize parking space utilization, and enhance overall traffic management in the city.