This paper focuses on the prospective analysis of potential violation, called Barrier Removal (BR) with emphasis on the transportation applications. Based on BR indicator data in terms of different performance criteria and the corresponding statistics, probabilistic prediction of the removal of a changedew barrier is implemented. This is called the removal prediction based on a Neural Network model. Moreover, a concept of Erroneous Barrier Removal (EBR) is discussed. EBR can be identified in terms of different performances criteria. The feasibility study on a research simulator is finally illustrated.
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