MALFUNCTION SNIFFING – A NEW APPROACH FOR ON-SITE QUALITY EVALUATIONS OF TRAFFIC DATA ACQUISITION INFRASTRUCTURE

摘要

In recent years, many efforts have been made to improve traffic flow and to reduce trafficrnproblems based on traffic detections. In order to achieve it, methods to influence the trafficrnare necessary (e.g. traffic actuated signal control, network control). The success of thesernmethods depends on the correctness of underlying traffic data. As a part of the Germanrnresearch project TRAFFIC IQ procedures for verifying the quality of traffic data and traffic datarncollection systems are being developed. The Malfunction Sniffer, a tool to carry out on-siternquality checks of detection infrastructure was designed in order to support the development ofrnany quality analyzing algorithms. The Malfunction Sniffer was developed and prototypicallyrnimplemented by the Department of Traffic Engineering and Transport Logistics of thernUniversity of Kassel in cooperation with the City of Düsseldorf. With its help, detectors canrnbe checked on their detection accuracy. After an initial on-site search for defective detectors,rnlong time monitorings on the identified detectors are conducted.