1. A computer-implemented method for optimizing a multiple intelligent transportation strategies system, said method comprising: associating a traffic simulation model with a genetic algorithm based optimization engine by processing with a computing device said traffic simulation model and said genetic algorithm based optimizing engine in order to optimize a plurality of intelligent transportation strategies utilizing said traffic simulation model; estimating an origin-destination matrix that minimizes discrepancies between a simulated and an observed link traffic count by considering via a computing device, a road network and a traffic count with respect to a region; determining a driver behavior parameter via a computing device utilizing said origin-destination matrix via calibration so that said traffic simulation model replicates a freeway traffic flow in said region; and obtaining an optimal set of parameters comprising a pricing algorithm parameter, a ramp meter mechanism and a speed limit with respect to said plurality of intelligent transportation strategies to optimize a set goal with respect to a given constraint and to meet a level of service metric as well as a revenue target under said plurality of intelligent transportation strategies.