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PREDICTION OF LOCAL AND NETWORK-WIDE IMPACT OF NON-RECURRENT EVENTS IN TRANSPORTATION NETWORKS

机译:预测运输网络中非经常性事件在本地和整个网络的影响

摘要

A method (and structure) for predicting an impact of an incident on a system. Incident properties and traffic conditions of at least one historical incident are received, to calibrate one or more parameters of a traffic model, as executed by a processor on a computer. Current traffic conditions, a prediction of recurrent traffic conditions, and an indication of a current incident on the system are received. A duration of the current incident and traffic conditions at a location at which the current incident occurs are predicted. Predicted traffic conditions in the system are calculated, based on the calibrated model parameters, the current traffic conditions, the prediction of recurrent traffic conditions, and the predicted duration of the current incident and traffic conditions at the current incident location.
机译:一种预测事件对系统影响的方法(和结构)。接收至少一个历史事件的事件属性和交通状况,以校准由计算机上的处理器执行的交通模型的一个或多个参数。接收当前交通状况,对经常交通状况的预测以及对系统上当前事件的指示。预测当前事件的持续时间和当前事件发生位置的交通状况。基于校准后的模型参数,当前交通状况,预测的经常交通状况以及当前事件的预计持续时间和当前事件位置的交通状况,计算系统中的预测交通状况。

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