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首页> 外文期刊>IEEJ Journal of Industry Applications >Failure Detection Method using Aggregated Vehicle Detector Data
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Failure Detection Method using Aggregated Vehicle Detector Data

机译:使用汇总的车辆检测器数据的故障检测方法

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Vehicle detectors play an indispensable role in traffic management and control systems (TMCS). The data collected via vehicle detectors are used to fulfill various functions such as signal control and traffic information provision. In Japan, TMCS use mainly ultrasonic detectors. Owing to their aged deterioration, their detection accuracy gradually reduces over many years, and thus their efficient operation and maintenance requires accomplished engineers. In recent years, it has become difficult to maintain great numbers of ultrasonic detectors because of the financial constraints in public resources and shortfall of accomplished engineers. In this paper, we propose failure detection methods, and confirm their validity by using actual data. First, we propose an aggregation method of detector data for classifying installation positions, and validate the method by using large amount of data. Moreover, we propose a few failure detection methods with the aggregated data, and compare their decision results by using the actual data.
机译:车辆检测器在交通管理和控制系统(TMCS)中扮演着不可或缺的角色。通过车辆检测器收集的数据用于完成各种功能,例如信号控制和交通信息提供。在日本,TMCS主要使用超声波探测器。由于它们的老化老化,其检测精度在许多年中逐渐降低,因此有效的操作和维护需要熟练的工程师。近年来,由于公共资源的财政限制和熟练工程师的短缺,很难维护大量的超声波探测器。在本文中,我们提出了故障检测方法,并通过实际数据证实了其有效性。首先,我们提出了一种用于对安装位置进行分类的检测器数据的汇总方法,并通过使用大量数据来验证该方法。此外,我们提出了一些使用汇总数据的故障检测方法,并通过使用实际数据比较它们的决策结果。

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