1. A method for optimizing a multiple intelligent transportation strategies system, said method comprising: associating a traffic simulation model with a genetic algorithm based optimization engine for optimizing a plurality of intelligent transportation strategies; estimating an origin-destination matrix that minimizes discrepancies between a simulated and an observed link traffic count by considering a road network and a traffic count with respect to a region; determining a driver behavior parameter 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 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.