Quality of service provisioning and the transportation of mass data are calling for aggregate flow management due to the evolution of new application scenarios such as wireless transmission control protocol (TCP) proxies and edge-to-edge overlays. This paper proposes an aggregate congestion control mechanism that adapts to multiple transmission control protocol (MultTCP) and dynamically adjusts the congestion window loop to support multiple aggregate flow-sharing. Using observed data measurements from a telecommunication operator in Nigeria, we obtain the necessary model predictors under ideal conditions. We then derive an adaptive MultTCP model and simulate the model with Java programming language. A GIS analysis using ArcGIS 9.1, qualitatively explains the distribution of empirical and simulated congestion rates at various base stations within the proposed study area (Akwa Ibom State, East region of Nigeria). Simulation results reveal that our model has the capability of minimizing the existing system’s congestions by 94.5%, with an improved and stable system performance over a wide range of weight in varied congestion conditions.