This thesis aims to optimize the road traffic network by using different control algorithms and techniques to monitor road driving conditions and improve road safety. Intelligent transportation systems (ITS) have paved the way for opportunities in traffic network monitoring, adaptive signalized intersections, optimized traffic networks and predictive traffic analysis. This thesis aims to develop a platform for integrating PTV VISSIM and MATLAB SIMULINK to design and analyze the flow of traffic in a highway traffic network. As a case study, a 2-lane road network in Charlotte, North Carolina was designed and simulated in PTV VISSIM which is a microscopic multi modal traffic flow software. We model a non-signalized traffic network in VISSIM. The math model and network dynamics were formulated and implemented in MATLAB due to its mathematical prowess. From VISSIM, we take the inflow and outflow rates data and send them to the controller in MATLAB through a VISSIM Component Object Model (COM) interface. A COM-server was created in MATLAB to merge and integrate the software. By employing an extremum seeking approach, an optimal velocity is determined and sent back to VISSIM through the COM interface. Extremum seeking controller is a non model based controller and hence is used in the research due to limited knowledge of the system. The extremum seeking controller was designed in MATLAB SIMULINK. Integration of VISSIM-MATLAB-SIMULINK is done by the COM server. Numerical simulation demonstrates the effectiveness of the platform for testing different traffic control approaches and optimizing flow.