The computational capabilities of computers enable human being to control the vehicles and its traffic. Automatic traffic control system not only reduces the effort of human but also provides secure and accurate results. Here, architecture of Agent-Based Autonomous Controller (ABAC) is proposed that manages vehicles at traffic signals intelligently. The proposed solution is followed by a vehicle counting by Infrared (IR) sensor; provide solution for independent and mutual dependent signals for smooth traffic flow; emergency vehicles alert and priority over public vehicles through Radio Frequency Identification (RFID). Finally, the proposed research is tested through simulation that reveals the performance over the previous traffic control and management architectures.