Design of Fuzzy Simulation for Determining the Duration of Traffic Light Based on Vehicle Density Level and Carbon Monoxide Level

Abstract

The increasing number of vehicles in Malang was proven by data from INRIX survey, a survey institute in the United States established since 2004, the data in 2017 have shown that Malang is the fourth city with the highest traffic congestion rate in Asia. Since the traffic congestion has some adverse effects on the environment, e.g. increased levels of Carbon Monoxide (CO). In this paper, we propose a mechanism design for handling the congestion effects that adversely affect the drivers and the environments. Fuzzy logic as a method which is used to determine the levels of the congestion, CO, and green light duration of traffic light based on certain classification in order to get an optimal decision for the duration of the traffic light. The simulation design has been validated by experts from Department of Transportation (DISHUB) Malang City, the results show that the simulation design is valid and worthy to be implemented for determining the duration of the traffic light.