ARM cortex based modelling and implementation of a self-controlled traffic light system

In this work, a micro-controller-based model for the real-world traffic light system has been designed using ARM Cortex M4 launchpad micro-controller (TM4C123) along with Keil uVision5 computing platform to ensure the safe traffic flow and minimize accidents for the ground vehicles. The proposed controller assumes exactly two traffic lights for the intersection of two equally busy one-way streets: the north-bound (N) and east-bound (E) light signals. To develop the proposed system, six light emitting diodes (LEDs) has been used to model bound signals where each signal composed of red (R), yellow (Y) and green (G) LEDs. Also, to turn on the whole system, one push-button (or sensor) was used to operate the system in the normal mode operation that repeatedly following the sequence: ⟨N_R, E_G⟩ ≪ delay ≫ ⟨N_Y, E_G⟩ ≪ delay ≫ ⟨N_G, E_R⟩ ≪ delay ≫ ⟨N_Y, E_R⟩ ≪ delay ≫ ⟨N_R, E_G⟩. Moreover, to maintain the case of a stormy day, another push-button (or sensor) has been added to switch the traffic light system to run in an emergency mode that keep flashing ⟨N_Y, E_R⟩. However, later button will not be activated unless the whole system turned ON by the former button. Eventually, the implementation testing results showed that the developed traffic light controller was successful and efficiently designed to ensure the proper and safe functionality that organize the traffic flow and avoid accidents.