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Model inputs and outputs were identified by reviewing several trip reduction ordinances. CUTR combined the three data sets and identified model inputs and outputs from the data, and built the neural network model. This step also included building alternative models using regression and discriminant analysis to measure relative ANN performance. These models were also compared with the FHWA's TDM Model. The ANN model built only with data from Los Angeles was validated using a separate data set and evaluated based on the model's ability to classify the change in AVR within an acceptable range.