DESIGN AND IMPLEMENTATION OF AN ALLOCATION BASED PARKING SYSTEM USING BABCOCK UNIVERSITY AS A CASE STUDY

Allocation Based Parking System (ABPS) is indispensable in optimising urban parking management and enhancing the overall user experience. With the escalating challenges of urban congestion and limited parking space availability, traditional way where car users park at the next available parking space does cause issues involving parking allocation for the necessary people to park and cannot park because the parks are being used up by a user who should not have access to the space which thus causes congestion on the long run often prove inefficient and frustrating for motorists. Existing parking solutions frequently lack real-time information dissemination, leading to time-consuming searches for available parking spaces and increased traffic congestion. This research endeavours to develop an innovative ASPS that is readily available to adopt the integration Internet of Things (IoT) technology and machine learning algorithms to address these challenges. The study aims to design and implement an ABPS framework capable of accurately identifying and communicating available parking spaces near a user's intended destination . The present development of the ABPS utilises the GPS technology, while utilising IOT (sensor data), and predictive analytics, could help to feed data for the smartness part of the integration of the system to give it a smart touch. The ABPS system will provide users with real-time information on parking availability, optimal routes, and estimated parking durations. Evaluation of the system's performance includes metrics such as parking availability accuracy, response time, and user satisfaction. The result of this research is a robust ABPS that offers a seamless parking experience for motorists, improves urban traffic flow, and promotes sustainable urban development. Keywords: Allocation based parking system, Internet of Things, machine learning, urban mobility, traffic management, Python, IoT integration, parking availability.