The project's goal is to create a density-based dynamic traffic signal system, in which a junction's traffic density will be detected and used to automatically adjust the signal's timing. Since most cities in the globe suffer greatly from traffic congestion, it is essential to switch from more human or fixed timed modes to automated systems that can make decisions. The current traffic signaling system is time-based, which can become ineffective if only one lane is used at a time. We have developed a framework for an intelligent traffic control system in order to optimize this problem. There are instances when a junction's increased traffic density necessitates a longer green time than the usual amount of time. Thus, we describe here a process that assigns the green light and red light times based on the volume of traffic at that particular moment. By using IR (infrared sensors), this is accomplished. The microcontroller (Arduino) is used to determine the green light's glowing period after the density has been determined. The roadside sensors pick up on the presence of moving cars and relay that information to the Arduino microcontroller, which determines when to switch on the signal lights or how long a flank will be open. The process of this framework has been explained in more detail in the sections that follow.