Vehicle Detection in Dense Traffic Using Electronic Scan Millimeter-wave Radars

Many types of sensors are used as traffic counters. However, it is difficult to obtain satisfactory results with a single sensor in high vehicle density, multilane environments. The electronic scan millimeter-wave radar that Fujitsu Limited has developed uses the FM-CW system, which enables a wide range of positions and speeds to be measured highly accurately. In order to solve the issue in which many areas remain undetected when traffic counters are installed at a small angle of depression, they conducted experiments in which traffic counters were installed at a large angle of depression. Results of simultaneous measurement of three lanes with a traffic counter installed over the center of the road and two lanes with a traffic counter installed on the shoulder of the road showed detection accuracy rates of over 98% and over 93% in traffic counting and vehicle classification, respectively.

• Availability:
  • Find a library where document is available. Order URL: http://www.its-jp.org/english/congress_e/
• Supplemental Notes:
  • Abstract used with permission of ITS Japan. Paper No. 3386. Alternate title: Vehicle Detection in Dense Traffic using Electronically Scanning Millimeter-Wave Radar.
• Corporate Authors:

  ITS Japan

  Tokyo,   Japan 
• Authors:
  • Shite, Kazuhiko
  • Ikeya, Tomonori
• Conference:
  • 20th ITS World Congress
  • Location: Tokyo , Japan
  • Date: 2013-10-14 to 2013-10-18
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: 10p
• Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

• TRT Terms: Automatic vehicle classification; Millimeter wave communication systems; Millimeter waves; Multilane highways; Radar vehicle detectors; Traffic counting; Traffic surveillance
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01538010
• Record Type: Publication
• ISBN: 9784990493981
• Files: TRIS
• Created Date: Sep 24 2014 4:49PM