In this paper, a data-driven improved real-time control optimization-simulation tool called SWMM_FLC, which is based on the FLC (fuzzy logic control) and GA (genetic algorithm), was developed for smart decision-making of flooding mitigation.  A calibrated and validated SWMM model was used for applying SWMM_FLC to explore the potential in reducing downstream flooding volume at UDSs.  The accumulated flooding volume reduction by up to 4.55% under eight artificial rainfall scenarios discloses the possibility of adopting SWMM_FLC as appropriate software to assist decision-makers to effectively minimize urban flooding volume at downstream urban drainage systems.
SWMM_FLC
In this paper, a data-driven improved real-time control optimization-simulation tool called SWMM_FLC, which is based on the FLC (fuzzy logic control) and GA (genetic algorithm), was developed for smart decision-making of flooding mitigation. 
FLC (fuzzy logic control)
In this paper, a data-driven improved real-time control optimization-simulation tool called SWMM_FLC, which is based on the FLC (fuzzy logic control) and GA (genetic algorithm), was developed for smart decision-making of flooding mitigation. 
GA (genetic algorithm)
A calibrated and validated SWMM model was used for applying SWMM_FLC to explore the potential in reducing downstream flooding volume at UDSs. 
SWMM model
The Science of the total environment
Li Jiada J 