Dynamic Data Acquisition and Parameters Estimation for Traffic Prediction Chang, Tang-Hsien ; Hsu, Yu-Ting
Publication details: Bryssel ITS in daily life: 16th world congress and exhibition on intelligent transport systems and services, Stockholm 21-25 September 2009. Paper, 2009Description: 12 sSubject(s): Bibl.nr: VTI P1835:16 [World]Location: Abstract: This study proposes a real-time traffic data acquisition system and prediction algorithm. The framework of the system suggests taxi fleets as probe vehicles, combining roadside detectors to collect data from urban networks extensively. Then, mathematical models of "link travel time prediction" and "route flow estimation" are built based on generalized least squares and extended Kalman filter. To verify the prediction capability of the models, this study analyzed the results from grid network simulation. The models are proven well functioning with data processing and calibration. The mean errors of flow estimation on the generated network traffic flows are within 15%.| Current library | Status | |
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| Statens väg- och transportforskningsinstitut | Available |
This study proposes a real-time traffic data acquisition system and prediction algorithm. The framework of the system suggests taxi fleets as probe vehicles, combining roadside detectors to collect data from urban networks extensively. Then, mathematical models of "link travel time prediction" and "route flow estimation" are built based on generalized least squares and extended Kalman filter. To verify the prediction capability of the models, this study analyzed the results from grid network simulation. The models are proven well functioning with data processing and calibration. The mean errors of flow estimation on the generated network traffic flows are within 15%.