Smart fuzzy logic-based model of traffic light management

Abstract

Traffic congestion difficulties have resulted in low productivity, significant air pollution, and energy losses in Owerri Metropolis, Nigeria. The paper looked at the design of a smart fuzzy logic traffic light management module, the development of a traffic control program using an Arduino microcontroller system, and the validation of the developed program's functionality using a Proteus circuit model to confirm the efficiency of fuzzy signal control. The traffic light environment of a fuzzy logic controller is simulated using Matlab software, and isolated traffic of multiple junctions is simulated using the Sumo Urban Mobility Simulation (SUMO) environment. The performance of the traditional fixed-time controller vs the fuzzy logic traffic light controller is examined. To allocate pedestrian crossing the right of way, traffic light systems function in tandem with pedestrian displays. The simulation results indicated that the overall durations for the fixed traffic light controller and suggested smart fuzzy logic traffic light controller simulations are 1,426 seconds and 1,328 seconds, respectively. The results also showed that the suggested smart fuzzy logic traffic light controller recorded significant waiting and movement times, indicating its standard appropriateness for Owerri city's various crossings.