Algorithm 1 Optimization via a genetic algorithm (GA)

Input: Nodes, Lanes, Signals

/* Model creation */

Assignment of Nodes to Lanes

Assignment of Signals to selected Lanes

Merging selected Signals into SignalBunches

Merging selected SignalBunches into BunchLists

/* Routing and car generation */

Parameters of traffic flows (enterLanes, exitLanes, intensities)

Generating traffic flows (parameters, duration)

/* GA optimization */

for gen = 0; gen < maxGenerations; gen ++ do

for genome = 0; genome < popSize; genome ++ do

Load genomes specific signalBunches; Synchronize BunchLists

Load traffic

Simulate traffic model

Calculate objectiveFunction value

Clear traffic

end for

Sort population

TournamentSelection (ts ratio)

Reproduce population (mutate ratio)

end for

Output: Genome with the best performance (signal parameters) from the last generation.