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Simulation-based Capacity Estimation of Arterial Workzones
註釋ABSTRACT: Numerous states have policies that provide guidance for the institution of short term lane closures on arterial streets based on capacity estimates; however, it is not clear how the existing values were developed, and there are currently no tools to estimate the capacity of arterial lane closures. This estimation is important because capacity is used to forecast queues and delays. In this research, simulation was used to develop several intersection and work zone configurations and to obtain relationships between various factors and the capacity of the arterial work zone. A set of appropriate scenarios was developed considering the capabilities of the simulator, the impacts various factors may have on arterial work zone capacity, as well as the sensitivity of those factors with respect to the simulated capacity. Five regression models were developed to predict the capacity of the entire approach, the capacity of the left-turning lane group, and the capacity of the through and right-turning group for various arterial work zone configurations. Capacity is defined as a function of various factors including the percentage of left-turning vehicles, the distance of the work zone to the downstream intersection, and the g/C ratios of each lane group.