Optimization of Vehicle Flow Times in a Single Crossing System through the Development of a Multi-Agent Platform

We live in a globalized and competitive world where cities face serious mobility problems so it is important to intelligently control vehicular traffic. This article proposes the optimal cycle time that the interface (Traffic Light) must be programmed at the time of having a vehicular load on both axes (x-y) in a system of a single vehicular crossing. Based on the Monte Carlo method as a numerical technique to calculate probabilities on the average times and speeds for each combination performed in the simulator. We used a computer tool based on a programmable environment oriented to models of multi-agent systems, called NetLogo as part of the development of the research, finally describing the overall optimal behavior of the system represented graphically and mathematically.