首页> 外文会议>18th world congress on intelligent transport systems, 2011 ITS America's annual meeting and exposition. >MALFUNCTION SNIFFING - A NEW APPROACH FOR ON-SITE QUALITY EVALUATIONS OF TRAFFIC DATA ACQUISITION INFRASTRUCTURE
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MALFUNCTION SNIFFING - A NEW APPROACH FOR ON-SITE QUALITY EVALUATIONS OF TRAFFIC DATA ACQUISITION INFRASTRUCTURE

机译:故障嗅探-一种用于交通数据采集基础设施现场质量评估的新方法

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摘要

In recent years, many efforts have been made to improve traffic flow and to reduce traffic problems based on traffic detections. In order to achieve it, methods to influence the traffic are necessary (e.g. traffic actuated signal control, network control). The success of these methods depends on the correctness of underlying traffic data. As a part of the German research project Traffic IQ procedures for verifying the quality of traffic data and traffic data collection systems are being developed. The Malfunction Sniffer, a tool to carry out on-site quality checks of detection infrastructure was designed in order to support the development of any quality analyzing algorithms. The Malfunction Sniffer was developed and prototypically implemented by the Department of Traffic Engineering and Transport Logistics of the University of Kassel in cooperation with the City of Dusseldorf. With its help, detectors can be checked on their detection accuracy. After an initial on-site search for defective detectors, long time monitorings on the identified detectors are conducted.
机译:近年来,基于交通检测,已经做出了很多努力来改善交通流量并减少交通问题。为了实现这一点,需要影响流量的方法(例如,流量触发信号控制,网络控制)。这些方法的成功取决于基础交通数据的正确性。作为德国研究项目的一部分,正在开发用于验证交通数据和交通数据收集系统质量的交通智商程序。为了支持开发任何质量分析算法,设计了Malfunction Sniffer(一种对检测基础结构进行现场质量检查的工具)。 “故障嗅探器”是由卡塞尔大学交通工程与运输后勤学系与杜塞尔多夫市合作开发并原型实现的。借助其帮助,可以检查检测器的检测精度。在最初对有缺陷的探测器进行现场搜索后,将对识别出的探测器进行长时间监控。

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