Malfunction Sniffing – A New Approach for On-Site Quality Evaluations of Traffic Data Acquisition Infrastructure

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 Düsseldorf. 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.

• Record URL:
  http://itswc.confex.com/itswc/WC2011/webprogram/Paper2505.html
• Availability:
  • Find a library where document is available. Order URL: http://itswc.confex.com/itswc/WC2011/webprogram/start.html
• Supplemental Notes:
  • Abstract reprinted with permission from Intelligent Transportation Society of America.
• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Kuhnel, Carsten
  • Weisheit, Toni
  • Hoyer, Robert
• Conference:
  • 18th ITS World Congress
  • Location: Orlando Florida, United States
  • Date: 2011-10-16 to 2011-10-20
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: 7p
• Monograph Title: 18th ITS World Congress, Orlando, 2011. Proceedings

Subject/Index Terms

• TRT Terms: Data collection; Data quality; Detectors; Evaluation; Monitoring; Traffic data
• Geographic Terms: Dusseldorf (Germany)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control;

Filing Info

• Accession Number: 01487213
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 18 2013 1:53PM