This paper proposes a distributed traffic management framework that uses fuzzy logic control. Routers are deployed with intelligent data rate controllers to manage increasing internet traffic. Unlike other explicit traffic control protocols that estimate network parameters, the fuzzy logic controller can directly measure router queue size. This avoids issues from parameter estimation while reducing computation and memory usage. The queue size is used to proactively regulate source sending rates, increasing resilience to congestion. Simulation results show the new scheme achieves better performance than existing protocols relying on network parameter estimation.