Efficient Queue Length Detection at Traffic Signals Using Probe Vehicle Data and Data Fusion
In this paper, a new method for the detection of queue lengths at traffic signals is described. Based on conventional probe vehicle data and implementing an extremely flexible data fusion approach for the integration of nearly arbitrary additional traffic information, it provides an efficient way to get high-quality estimates for the traffic states at traffic signals. A systematic evaluation, based on extensive simulations, addresses several issues concerning quality and demonstrates both the great potentials as well as the limitations of the new approach. In conclusion, it becomes apparent that high accuracies can be achieved even with today’s data.
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Corporate Authors:
1100 17th Street, NW, 12th Floor
Washington, DC United States 20036 -
Authors:
- Neumann, Thorsten
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Conference:
- 16th ITS World Congress and Exhibition on Intelligent Transport Systems and Services
- Location: Stockholm , Sweden
- Date: 2009-9-21 to 2009-9-25
- Publication Date: 2009
Language
- English
Media Info
- Media Type: CD-ROM
- Features: Figures; References;
- Pagination: 12p
- Monograph Title: ITS in Daily Life
Subject/Index Terms
- TRT Terms: Data fusion; Driver information systems; Probe vehicles; Traffic data; Traffic queuing; Traffic signals; Traffic surveillance
- Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;
Filing Info
- Accession Number: 01148333
- Record Type: Publication
- Files: TRIS
- Created Date: Jan 25 2010 8:08AM