IOT Based Smart Parking for Intelligent Transport System a Case Study of the Kenya Urban Roads Authority (KURA)

Abstract

The development of smart transport systems has the potential to transform urban transportation, making it more efficient, sustainable, and safe. This master project explores the application of Internet of Things (IoT) for smart transport systems in Kenya, using the Kenya Urban Roads Authority (KURA) as a case study. The project aims to identify the parking challenges facing the current transport system in the Nairobi Central Business District (CBD) and to propose an IoT-based solution to address these challenges. The research methodology utilizes a mixed-methods strategy, which combines both qualitative and quantitative data collection techniques. Information was gathered via a review of existing literature, survey questionnaires, and interviews with stakeholders in the transport sector. The outcomes of the research reveal that the current transport system in Nairobi is characterized by inefficiencies, safety concerns, and environmental degradation. The utilization of IoT technologies, including real-time data gathering, analysis, and communication, can address these challenges by improving transport planning, reducing congestion, and enhancing safety. The project concludes with recommendations for the implementation of an IoT-driven intelligent parking system situated in Nairobi, including the adoption of a data-driven approach, stakeholder collaboration, and investment in infrastructure and capacity-building. The research adds to the expanding pool of knowledge regarding smart transport systems in developing countries and provides insights for policymakers, transport operators, and technology providers on the potential of IoT to improve transport systems in Kenya and beyond.