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Looking into Detection, Model Results and Message Quality Improved Data Verification, Liability and Quality

机译:研究检测,模型结果和消息质量改进的数据验证,责任和质量

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Providing publishing the "traffic situation" has become a state of the art procedure for road operators. A map showing the road network and a red-amber-green color scheme indicating the "Level of Service" or at least showing icons with traffic messages like "Jam", "Slow moving Traffic" and other incidents is a must-have.rnThe information provided is produced in many ways. Starting historically with manual editing work, followed by fairly sophisticated detection data processing and today using online modeling approaches and floating probe data to generate these pictures. But how can we assess how ACCURATE this information is?rnThis technical paper shows an approach to how the processing from detection data to event messages can be presented in a transparent way to the quality assessing engineer. At a glance, it can be seen whether the system works correctly or if any failures make the results less trustworthy. Finally, it is shown how this approach can be used to compare different sources of information and to assess their quality.
机译:提供发布“交通状况”已成为道路操作员的最新程序。必须具有一张显示道路网络和红琥珀色-绿色方案的地图,该方案指示“服务水平”,或至少显示带有交通消息(如“果酱”,“慢行交通”)和其他事件的图标。rnThe提供的信息以多种方式产生。从历史上开始,首先进行手动编辑,然后进行相当复杂的检测数据处理,如今使用在线建模方法和浮动探针数据来生成这些图片。但是我们如何评估这些信息的准确性呢?该技术论文展示了一种方法,该方法可以将检测数据到事件消息的处理以透明的方式呈现给质量评估工程师。一目了然,可以看出系统是否正常运行,或者是否有任何故障使结果不可信。最后,显示了如何使用此方法来比较不同的信息源并评估其质量。

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