Automatic Statisticson on Traffic Flow and the Impact on Road Capacity When Being Occupied
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Traffic flow detection is an important part in Intelligent Traffic Control System. A traffic flow detection algorithm based on gray threshold is presented in this paper. When a traffic accident occurs on the neighboring lanes of the same cross section in a three lane road, the traffic flow on the other lane (inside lane or outside lane) where no traffic accident occurred is detected by using this algorithm. And the difference between the traffic flow in inside lane and in outside lane is tested by t test. The results show that the accuracy of traffic flow is more than 95% when using this algorithm, which indicates that this algorithm is feasible and effective. When a traffic accident occurs on the neighboring lanes, the difference between the traffic flow in inside lane and in outside lane is significant.

    Reference
    Related
    Cited by
Get Citation

李琨,孙川,张丽华,薛慧,姜超.车道流量自动统计及被占用对通行的影响.计算机系统应用,2017,26(4):148-154

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:July 31,2016
  • Revised:October 24,2016
  • Adopted:
  • Online: April 11,2017
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063