Visualize the Effect of Input Variability on Model Output in Traffic Assignment

Abstract

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Predicting and Visualizing the Uncertainty Propagations in Traffic Assignments Model Using Monte Carlo Simulation Method

“…In this paper, a new methodology has been presented to predict traffic flow and visualize the uncertainty in those Figure 10: The predicted uncertainty for the link No. 6, applying extreme value distribution scenarios [27].…”

“…In the absence of combined presentation of data and its associated uncertainty, the analysis of the information visualization is incomplete at best and may lead to inaccurate or incorrect conclusions. Therefore, there is a need to display information together with their uncertainty for accurate interpretation and precise decision-making [26,27].…”

“…The developed methodology has been applied in a small city, Ajka, located in Hungary. The results of case study were presented earlier in [27] for demonstrating the effects of variability of input variables on the model results. Here we used the case study and its results to describe the implementation of the methodology.…”

“…The probability density of predicted traffic flows addressed with the uncertainty cases. Study area (Ajka, Hungary), showing observed traffic flows on the transport network[27].…”

“…The predicted uncertainty for the link No. 6, applying normal distribution scenarios[27]. The predicted uncertainty for the link No.…”