Estimating the Monetary Benefits of Reducing Delays on Heavily Trafficked Truck Freight Corridors in Georgia
项目名称: Estimating the Monetary Benefits of Reducing Delays on Heavily Trafficked Truck Freight Corridors in Georgia
摘要: This project will assess the state of the art in value of travel time savings for different classes of both truck and automobile travel, and develop a method that can be applied at the statewide, corridor level for the purposes of deriving the monetary benefits of limiting within-corridor travel delays. The method will be demonstrated using data for a strategically important trucking corridor in the state of Georgia. The modeling will be used to simulate different future year commodity and truck class allocations, based on future year industrial activity projections and corridor capacities, in order to estimate the future value of delay-reducing truck travel time savings (which may include, for example, adding truck only lanes to a highway). Corridor-specific truck movement volumes will be broken down by origin, destination, commodity and vehicle class, in sufficient detail that corridor travel costs can be derived on the basis of the mix of industries that rely on the corridor for goods deliveries. An origin-based user equilibrium traffic assignment routine will be used to route these multi-class truck movements over the highway corridor's links, using pre-determined automobile traffic volumes to capture mixed truck + auto traffic volume-to-capacity ratios for use in forecasting future year congestion-influenced corridor speeds. The process will also generate a total dollar value of the freight moved in the corridor on an average daily or annual basis, offering a possible freight performance measure for state department of transportation (DOT) use.
状态: Completed
资金: 205000
资助组织: Georgia Department of Transportation<==>Research and Innovative Technology Administration
执行机构: Georgia Institute of Technology, Atlanta
开始时间: 20131101
实际结束时间: 20150531
主题领域: Data and Information Technology;Freight Transportation;Highways;Operations and Traffic Management;Planning and Forecasting
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