Help the Genetic Algorithm to Minimize the Urban Traffic on Intersections

The Goal of this project is to obtain the optimal cycle traffic lights at the intersection. To find time for each cycle of the traffic lights are red, yellow and green is the average number of waiting cars at behind of a red light. Traffic Modeling with Petri nets in CPN TOOLS software simulations has been conducted. Data collection was performed at various times as the objectively reasonable sample has been collected. The results of the genetic algorithm is used to optimize the design so that the chromosome based on 14 parameters (5 for the intersection lighting cycle time, cycle time 5 to the second intersection lights, light, on the intersection of the first two, to wait for an average of vehicles and two average cars waiting at a red light to the second intersection), coding (how to convert binary digits the actual amount of decimal and vice versa), mutation operators (to create diversity in the population), crossover (to converge to the optimal) fitness function (assessment of chromosomes in population) and elitism selection (to select the number of inhabitants to move to the next generation) are described in detail in the relevant sections.