Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Nairobi city residents encounter a myriad of problems on the roads every day, thanks to the increasing population in the city and also due to the influx of motor vehicles in the city using a constrained road network. Some of these problems include failure to find parking spaces in the central business district and the lack of enough drop off and pick up points. Traffic index report released by Ynumbeo (2017) revealed that on average, residents of Nairobi spend 62.44 minutes in traffic every day. This research aims to advance an endurable traffic management design framework based on IoT and to help resolve some of the traffic issues of Nairobi City. The specific objectives of the study were: To assess and review current generic design frameworks of IoT sensors available in the market today with regard to traffic management, To analyse the benefits therein associated with the IoT implementation on traffic management as opposed to the Manual traffic management and to develop an endurable IoT traffic management design framework for Nairobi city. The research was cross sectional with analytical component and through simple random sampling, comprising of 21 officers from the city inspectorate and enforcement, 9 from the traffic police department and 162 private drivers. A sample of the respondents was drawn using stratified sampling. Each respondent filled and submitted a structured self-administered questionnaire.
