APPLICATION OF PROBE-VEHICLE DATA FOR REAL-TIME TRAFFIC-STATE ESTIMATION AND SHORT-TERM TRAVEL-TIME PREDICTION ON A FREEWAY
Traffic information from probe vehicles has great potential for improving the estimation accuracy of traffic situations, especially where no traffic detector is installed. A method for dealing with probe data along with conventional detector data to estimate traffic states is proposed. The probe data were integrated into the observation equation of the Kalman filter, in which state equations are represented by a macroscopic traffic-flow model. Estimated states were updated with information from both stationary detectors and probe vehicles. The method was tested under several traffic conditions by using hypothetical data, giving considerably improved estimation results compared to those estimated without probe data. Finally, the application of the proposed method was extended to the estimation and short-term prediction of travel time. Travel times were obtained indirectly through the conversion of speeds estimated or predicted by the proposed method. Experimental results show that the performance of travel-time estimation or prediction is comparable to that of some existing methods.
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Availability:
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Supplemental Notes:
- This paper appears in Transportation Research Record No. 1855, Transportation Data Research.
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Corporate Authors:
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Authors:
- Nanthawichit, C
- Nakatsuji, T
- Suzuki, H
- Publication Date: 2003
Language
- English
Media Info
- Features: Figures; References;
- Pagination: p. 49-59
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Serial:
- Transportation Research Record
- Issue Number: 1855
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Accuracy; Equations; Forecasting; Freeways; Kalman filtering; Macroscopic traffic flow; Probe vehicles; Traffic data; Traffic forecasting; Traffic speed; Travel time
- Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 00966708
- Record Type: Publication
- ISBN: 0309085918
- Files: TRIS, TRB, ATRI
- Created Date: Dec 30 2003 12:00AM