首页> 外国专利> ROBUST PARAMETER ESTIMATING METHOD FOR CRASH HOTSPOT IDENTIFICATION BASED ON TRAFFIC ACCIDENT FREQUENCY SIMULATION

ROBUST PARAMETER ESTIMATING METHOD FOR CRASH HOTSPOT IDENTIFICATION BASED ON TRAFFIC ACCIDENT FREQUENCY SIMULATION

机译:基于交通事故频率模拟的暴发热点识别的鲁棒参数估计方法

摘要

Disclosed is a robust parameter calculating method of a selection method of a vulnerable section for traffic accidents, which comprises the steps of: receiving actual accident data; inferring a simulation parameter on the basis of the actual accident data; generating one or more traffic accident simulation data by performing a traffic accident simulation using the simulation parameter, and defining a virtual vulnerable section for a traffic accident on the basis of the traffic accident simulation data; evaluating an error rate of whether the virtual vulnerable section for a traffic accident is selected by variously changing a parameter value of a selection method of a vulnerable section for traffic accidents; and calculating a robust parameter of the selection method of a vulnerable section for traffic accidents through an evaluation result.
机译:公开了一种用于交通事故的脆弱部分的选择方法的可靠的参数计算方法,包括以下步骤:接收实际事故数据;以及根据实际事故数据推断出模拟参数;通过使用模拟参数执行交通事故模拟,并基于交通事故模拟数据定义交通事故的虚拟易受伤害区,来生成一个或多个交通事故模拟数据;通过各种改变交通事故易损区间选择方法的参数值,评估是否选择了交通事故虚拟易损区间的错误率;通过评估结果计算出交通事故易损区间选择方法的鲁棒参数。

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