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A Traffic Data Fusion Method Based on Rough Sets Theory Guo, Yanmei
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: 11 sSubject(s): Bibl.nr: VTI P1835:16 [World]Location: Abstract: Focusing on the traffic data in Beijing, this paper analyzes the characteristics of various traffic data first. On this basis, a data fusion method based on Rough Sets Theory is established to be used to estimate travel time. At last, evaluation for this method is provided and experimental results show that this method have achieved the purpose it pursue and make a foundation of the practicality of data fusion method based on Rough Sets to estimate travel time.Current library | Status | |
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Statens väg- och transportforskningsinstitut | Available |
Focusing on the traffic data in Beijing, this paper analyzes the characteristics of various traffic data first. On this basis, a data fusion method based on Rough Sets Theory is established to be used to estimate travel time. At last, evaluation for this method is provided and experimental results show that this method have achieved the purpose it pursue and make a foundation of the practicality of data fusion method based on Rough Sets to estimate travel time.