The KPI and Abnormal Information Diagnosis at RSU-based Real-time Traffic Database System with Cloud Implementations

This paper proposes five Key Performance Index (KPI) and abnormal/Exception Information Diagnosis of road side units (RSU)-based Real-time Traffic Database System (RTDS) to identify the KPI of RSU system and abnormal conditions of RSUs. The purpose is to validate the location of unreasonable operation values of RSUs. The RSUs contain Vehicle Detector (VD), Closed Circuit Television (CCTV), Changeable Message Sign (CMS), Automatic Vehicle Identification (AVI), and Road Section (RS). The five KPI are defined as follows: the rate of well-prepared completeness of information, maintenance of equipment, instant proper data of equipment, equipment completeness, and file linkage trends. The rate of proper data of equipment abnormal data is identified simultaneously. Then, the five effective KPI index of the whole island area can also be obtained. This system offers the rate of file linkage to check the resource unit on the compliance of government published traffic standard v1.1, regulating five kinds of equipment and 13 file styles.