智能网联环境下信号灯消息的质量判别

Research on Quality Discrimination of Signal Phase and Timing Message in Intelligent Networked Environment

为实现智能网联环境下信号灯消息的高质量上车服务,亟需对通过路侧单元发送的信号灯消息进行质量判别并形成相应的评价标准,帮助精准定位路侧基础设施的数据问题,进而营造更好的智能网联环境。本文系统性地从唯一性、完整性、准确性和时效性这4个关键维度,建立1套针对信号灯消息质量的评价指标体系。同时,以数据驱动的方式从积累的海量历史信号灯消息中挖掘出各项指标的分布和趋势特征,进而分析得到合适、可执行的质量判别标准。该方法在实际智能网联数据运维服务中得到了有效验证,能全面、准确地定位信号灯消息的数据问题,具有较高的应用前景。

In order to achieve high-quality on-board service for in intelligent networked environment,it is urgent to discriminate the quality of SPAT sent through Roadside Unit and form corresponding evaluation criteria,which can help to locate data problems of roadside infrastructures,and then create a better intelligent networked environment.This paper systematically establishes an evaluation index system for the quality of SPAT from four key dimensions:uniqueness,integrity,accuracy and timeliness.Meanwhile,based on the data-driven method,appropriate and executable quality discrimination criteria are obtained through mining features of indicators like distribution and trends from the accumulated massive historical SPAT data.The method has been effectively verified in the practical intelligent networked data operation and maintenance services,which can comprehensively and accurately locate data problems in SPAT,with high application prospects.