Monitoring Entire-City Traffic using Low-Resolution Web Cameras
The authors propose a new approach to intelligent transportation systems for developing countries. Their system consists of two major components: (1) Web-camera-based traffic monitoring and (2) network flow estimation. The traffic monitoring module features a new algorithm for computing the vehicle count and velocity from very low-resolution Web camera images, while the network flow estimation module features a traffic flow estimation algorithm at every single link, based on measurements at a limited number of links with the cameras. Using real Web cameras deployed in Nairobi, Kenya, they assessed the accuracy of the approach. To the best of the authors’ knowledge, this is the first practical framework for monitoring an entire city’s traffic without special expensive infrastructure and time-consuming data calibration.
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Availability:
- Find a library where document is available. Order URL: http://www.its-jp.org/english/congress_e/
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Supplemental Notes:
- Abstract used with permission of ITS Japan. Paper No. 3143.
- Corporate Authors: Tokyo, Japan
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Authors:
- Idé, Tsuyoshi
- Katsuki, Takayuki
- Morimura, Tetsuro
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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; Photos; References; Tables;
- Pagination: 10p
- Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings
Subject/Index Terms
- TRT Terms: Developing countries; Intelligent transportation systems programs; Traffic flow rate; Traffic surveillance; Urban areas; Video cameras
- Uncontrolled Terms: Webcams
- Geographic Terms: Nairobi (Kenya)
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01535049
- Record Type: Publication
- ISBN: 9784990493981
- Files: TRIS
- Created Date: Aug 25 2014 7:43AM