Real-Time Measuring System Based on Vehicle Flow Video Image

In intelligent transportation systems (ITS), vehicle flow data are very important for control and management of traffic. Based on chromaticism in an image sequence of a moving vehicle which is the difference between the vehicle and the road surface, a new method is proposed to collect real-time traffic flow data in the city. Firstly, video for 10 frames/second sampling, difference operation of same region of two neighboring images is used to detect the moving vehicle very quickly on measurement strap. Secondly, the result of difference was grayed, horizontal projection and adaptive threshold methods are adopted to recognize the moving vehicle and type of vehicle by statistical analysis, which is very expedient, accurate and quick. The results of experiments show that the correct recognition rate of this system reaches up to 90%. The combination of phase control and road control can intelligently manage traffic in real-time and satisfies the requirements of practical application.

• Record URL:
  https://doi.org/10.1061/41039(345)355
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784410394
• Supplemental Notes:
  • © 2009 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Wang, Hongjian
• Conference:
  • Second International Conference on Transportation Engineering
  • Location: Chengdu , China
  • Date: 2009-7-25 to 2009-7-27
• Publication Date: 2009-7

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 2145-2150
• Monograph Title: International Conference on Transportation Engineering 2009

Subject/Index Terms

• TRT Terms: Data collection; Highway traffic control; Intelligent transportation systems; Real time control; Traffic flow
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01529203
• Record Type: Publication
• ISBN: 9780784410394
• Files: TRIS, ASCE
• Created Date: Nov 12 2013 1:40PM