Road traffic congestion is a major issue of concern owing to its impact to the lives of people, the economy and the environment at large. Traffic congestion is a problem of the modern society that has come with urbanization. It has been predicted that the problem will get worse if mechanisms and best strategies are not put in place in time to manage it. In the City of Nairobi, Kenya, studies and mechanisms that havebeen undertaken have not solved the problem of road congestion whereby it has remained persistent. This research study therefore examined security strategies that could be applied to manage road traffic congestion in the city of Nairobi, Kenya. The site of Study was Jogoo Road which is one of the major roads in Nairobi city leading to the city centre and other crucial areas such as the industrial park. The study was guided by Transportation Engineers and Planners model of Cambridge systematics which focuses on three main perspectives of managing road supply, managing demand for vehicle use and improving the efficiency in the use of available network resource. The study employed mixed method design in which phenomenological and exploratory survey designs were undertaken. The study targeted stakeholders in the transport industry which included the study site road users and administrators. Sampling techniques used included cluster sampling, porposive stratified sampling as well as convenience sampling for the various groups who participated in the study. Questionnaires and interviews were the main tools that were used in data collection. The findings from both qualitative (interviews and quantitative (questionnaires) were triangulated to enhance the findings. Qualitative data was analyzed thematically guided by the objectives of the study. Quantitative data was analyzed using a descriptive statistics software, SPSS. Qualitative data was presented in quotes while quantitative data was presented in tables and graphs. The findings of the study showed that traffic congestion on Jogoo Road is a result of several contributory factors.