Affiliation:
1. Department of Control for Transportation and Vehicle Systems, Budapest University of Technology and Economics, Stoczek J. u. 2., H-1111 Budapest, Hungary
Abstract
Abstract
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.
Funder
This work is connected to the scientific program of EITKIC-12-1-2012-0001 project (supported by the Hungarian Government, managed by the National Development Agency, and financed by the Research and Technology Innovation Fund), and TÁMOP-4.2.2.C-11/1/KONV-2012-0012: Smarter Transport project (supported by the Hungarian Government and co-financed by the European Social Fund).
Subject
Computer Science Applications,General Engineering
Cited by
11 articles.
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