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Fig 1.

Method.

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Fig 2.

Simulation and EA integration.

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Fig 3.

Traffic light components.

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Fig 4.

Solution representation.

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Fig 5.

Evolutionary algorithm flow chart.

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Fig 6.

Cycle and offset propagation.

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Table 1.

Probability of mutation operators PCtO and PGt and mutation probability Pm and per signal.

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Fig 7.

Distribution of home coordinates.

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Fig 8.

Distribution of main activities coordinates.

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Table 2.

Population per District (Census 2010 [38]).

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Fig 9.

Mobility scenarios S124h, S2M and S2A.

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Fig 10.

Saturation flows.

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Fig 11.

Mean travel time over generations in experiments E3,E4 and E4DVM.

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Fig 12.

Mean travel time of best solutions in experiments E3,E4 and E4DVM.

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Table 3.

Mean travel time, standar deviation and interquartile range of best solutions in experiment E3,E4 and E4DVM.

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Fig 13.

Expected number of mutated signals with constant and varying mutation schedules (E4,E4DVM).

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Fig 14.

Mean travel time over generations, scenarios S2M and S2A (E4, E4DVM).

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Fig 15.

Effect of crossover operator on mean travel time.

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Table 4.

SMAC solutions: EA parameters.

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Table 5.

Expected number of mutated signals by SMAC configuration and E4DVM.

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Fig 16.

DMQ scenario flow from 07:30AM to 08:30AM.

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Fig 17.

Signals corridor S1-S15.

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Fig 18.

Signals corridor S1-S3 flow from 07:30AM to 08:30AM.

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Fig 19.

Cycle length of the best solutions for experiment E4DVM scenario S2M.

Annotated heatmap: solutions by row (associated travel time in the row label), variables by column (one per signal), values by color (see color legend).

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Fig 20.

Offset times of the best solutions for experiment E4DVM scenario S2M.

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Fig 21.

Hierarchical clustering of cycle length of the best solutions for experiment E4DVM scenario S2M.

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Fig 22.

Geolocation of signal clusters, experiment E4DVM scenario S2M.

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Fig 23.

Geolocation of signal clusters, experiment E4DVM scenario S124h.

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Table 6.

Car distribution (fuel = gasoline and weight ≦ 2Tons).

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Table 7.

Emissions of best solutions on scenario S124h.

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Table 8.

Emissions of best solutions on scenario S2M.

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Fig 24.

Change in CO2 emissions.

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Fig 25.

Variables to detect green phase crossing.

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Fig 26.

Best individual (lowest travel time) cluster No.6 (a) and cluster No. 9 (b) for south-north direction, experiment E4DVM, scenario S2M.

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Table 9.

Green waves cluster 6, total agents = 253.

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Table 10.

Green waves cluster 9, total agents = 1400.

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