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Due to the limited and inconsistent evidence regarding DCTs' effects on intersection safety and efficiency, it is not sufficient to recommend any type of DCT to be installed at signalized intersections to improve safety and operational efficiency. Nevertheless, it is apparent that both RSCTs and CCTs enhance intersection capacity, though their impacts on intersection safety are unclear. Future studies need to further verify those anticipated safe and operational benefits of DCTs with enriched field observation data.

The airport terminal departure passenger traffic forecast is the key premise for the airport passenger traffic management system to control and guide passenger traffic flow. However, because the flow is affected by many factors, it is strongly random and nonlinear, so it can be difficult to forecast traffic accurately. The fuzzy decision tree approach is developed based on the decision tree method, combined with the fuzzy mathematics theory. This approach is mainly used in the field of decision making. This paper applies the thinking of decision to forecast and applies the improved fuzzy decision tree method to terminal departure passenger traffic forecast. The case analysis indicates that a more concise and accurate forecast can be achieved using the fuzzy decision tree approach.

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