The modeling and verification of DSDM in airport taxi

The Double Sensitive Decision Model (DSDM) for taxi drivers is established with the coexistence of cost and benefit in this paper. This model considers the relationship between airport taxi driver's income with the change of passenger numbers, uses the thought of decision tree and decision matrix. Secondly, the model is simplified and improved the robustness by learning the historical data, optimized by stimulink components. Additionally, it is perfected by running the program code in visual c++ 6.0 software and finally is evaluated and prospected.