ON MULTISENSOR DATA FUSION USING ATTRIBUTE ASSOCIATION FOR INTELLIGENT TRAFFIC CONGESTION INFORMATION INFERENCE

This paper presents the results of a feasibility study on employing attribute association algorithms for Intelligent Transportation System (ITS) issues. Specifically, the "Dempster-Schafer's Evidential Reasoning" was chosen for investigation and determine the degree of traffic congestion from multisensors on road such as loop detectors, CCD cameras, and verbal reports. This paper addresses the key issues on inferring traffic congestion level of the link where no sensor is established. For the covering abstract see IRRD E102946.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/899500732X
• Corporate Authors:

  ORGANIZING COMMITTEE 5TH WORLD CONGRESS

  KUSANG BLDG, 4TH FLOOR, 1009-5, DAECHI-DONG KANGNAM-KU
  SEOUL, ZZ KOREA    135-283
• Authors:
  • CHOI, D B
• Conference:
  • TOWARDS THE NEW HORIZON TOGETHER. PROCEEDINGS OF THE 5TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS, HELD 12-16 OCTOBER 1998, SEOUL, KOREA. PAPER NO. 4115
• Publication Date: 1998

Language

• English

Subject/Index Terms

• TRT Terms: Calculation; Electromagnetic induction; Intelligent transportation systems; Methodology; Sensors; Traffic congestion; Traffic lanes; Video cameras
• ITRD Terms: 6464: Calculation; 6750: Camera; 2992: Carriageway; 8531: Case study; 632: Congestion (traffic); 6927: Induction; 9102: Method; 6120: Sensor
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 00781115
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• ISBN: 89-950073-2-X
• Files: ITRD
• Created Date: Jan 7 2000 12:00AM