Research on Traffic Image Network
Real-time traffic information is a popular element for car navigation system and telematics service, many map website and PND are also trying to provide real-time traffic information to users. The main form of real-time traffic information is Jam Level. Different jam levels are usually shown in different colors in various terminals. But the jam level is not an accurate way to show the traffic state. Different users may have a different feeling about the same congestion status shown to them. A new traffic information representing way was introduced in this paper. The traffic images of roads or intersections are exchanged in real-time between the terminals through the internet. By accessing to the visual information of the traffic, every user can make a decision based on his understanding about the actual traffic, not on the jam level that is translated from average speed by the center side. In this paper, a prototype of traffic image network was presented and the applications were demonstrated based on the prototype.
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Availability:
- Find a library where document is available. Order URL: http://itswc.confex.com/itswc/WC2011/webprogram/start.html
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Supplemental Notes:
- Abstract reprinted with permission from Intelligent Transportation Society of America.
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Corporate Authors:
1100 17th Street, NW, 12th Floor
Washington, DC United States 20036 -
Authors:
- Liu, Bo
- Li, Lan
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Conference:
- 18th ITS World Congress
- Location: Orlando Florida, United States
- Date: 2011-10-16 to 2011-10-20
- Publication Date: 2011
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Photos; References;
- Pagination: 6p
- Monograph Title: 18th ITS World Congress, Orlando, 2011. Proceedings
Subject/Index Terms
- TRT Terms: Image analysis; Prototypes; Real time information; Telematics; Traffic congestion; Traveler information and communication systems; Visualization
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01449903
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 22 2012 9:14AM