Real-time traffic flow statistical analysis based on network-constrained moving object trajectories
Contribuinte(s) |
Bhowmick, Sourav S. Kung, Josef Wagner, Roland |
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Data(s) |
01/01/2009
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Resumo |
In this paper, we propose a novel traffic flow analysis method, Network-constrained Moving Objects Database based Traffic Flow Statistical Analysis (NMOD-TFSA) model. By sampling and analyzing the spatial-temporal trajectories of network constrained moving objects, NMOD-TFSA can get the real-time traffic conditions of the transportation network. The experimental results show that, compared with the floating-car methods which are widely used in current traffic flow analyzing systems, NMOD-TFSA provides an improved performance in terms of communication costs and statistical accuracy. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Springer |
Relação |
http://dro.deakin.edu.au/eserv/DU:30083686/huang-realtimetraffice-2009.pdf http://dro.deakin.edu.au/eserv/DU:30083686/huang-realtimetraffice-evid-2009.pdf http://www.dx.doi.org/10.1007/978-3-642-03573-9_14 |
Direitos |
2009, Springer |
Palavras-Chave | #database #spatiotemporal #moving object #statistics |
Tipo |
Conference Paper |