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The model based on entropy maximization (EM) technique is the most commonly used method for the estimation of an origin-destination (O-D) matrix from traffic counts. However, the accuracy of this model has not yet been well defined. The paper examines how data information affects the EM model performance and estimates the effects of information variability on model accuracy. Empirical results from Shenzhen, a special economic zone in China, are presented. Finally, some important conclusions and suggestions have been drawn for possible improvements and applications of the EM model.
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