Title :
Highway Landscape Layout Assessment Based on Fuzzy-Cluster Support Vector Machine
Author :
Haozhe, Cong ; Huijun, Wang ; Xiang, Wang
Author_Institution :
Key Lab. of Road & Traffic Eng. of the Minist. of Educ., Tongji Univ., Shanghai, China
Abstract :
Inherent relationship between highway landscape layout-angle and landscape picture characteristics is found out after the analysis of many highway landscape pictures. The features of highway landscape layout-angle were extracted by the method of principal components analysis, and the participants marking values were clustered using fuzzy-cluster algorithm. Then a mathematics model based on support vector machine is built up, which can be used to assess highway landscape layout objectively. The results show that it is proper to use the model based on support vector machine to assess highway landscape layout.
Keywords :
feature extraction; fuzzy set theory; pattern clustering; principal component analysis; roads; support vector machines; town and country planning; fuzzy-clustering; highway landscape layout assessment; highway landscape layout-angle; highway landscape picture characteristic; principal components analysis; support vector machine; Automated highways; Eyes; Mathematical model; Mathematics; Principal component analysis; Psychology; Road safety; Road transportation; Support vector machines; Vehicle safety; fuzzy-k means; highway; landscape layout; objective assessment; support vector machine;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.414
