期刊
TRANSPORT AND TELECOMMUNICATION JOURNAL
卷 15, 期 4, 页码 269-279出版社
SCIENDO
DOI: 10.2478/ttj-2014-0023
关键词
Road Traffic Estimation; Data fusion; Switching Kalman Filter
资金
- Hungarian Government [EITKIC-12-1-2012-0001, TAMOP-4.2.2.C-11/1/KONV-2012-0012]
- Research and Technology Innovation Fund [EITKIC-12-1-2012-0001]
- European Social Fund [TAMOP-4.2.2.C-11/1/KONV-2012-0012]
The knowledge of road traffic parameters is of crucial importance to ensure state-of-the-art traffic services either in public or private transport. In our days, a plethora of road traffic data are continuously collected producing historical and real-time traffic information as well. The available information, however, arrive from inhomogeneous sensor systems. Therefore, a data fusion methodology is proposed based on Switching Kalman Filter. The concept enables efficient travel time estimation for urban road traffic network. On the other hand, the method may contribute to a better macroscopic traffic modelling.
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