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Various Strategies for Optimizing Traffic Lights : A Review

In recent years, enhancing the vehicular traffic flow became a mandatory task to minimize the impact of unsustainable consumption of fuel and polluting emissions in our cities. Smart mobility optimization emerges then, with the goal of improving the traffic management in the city. Consequently, an optimization strategy based on swarm intelligence to find efficient cycle programs for traffic lights were deployed in large urban areas. After several comparisons between different optimization techniques (Differential Evolution and Random Search), as well as other solutions provided by experts; I learnt that there is a need to obtain significant reductions of fuel consumption and gas emissions. Thus metaheuristics are strongly advisable techniques for future development in this domain.