Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision
10.1080/18756891.2011.9727860
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sg-nus-scholar.10635-651812023-10-27T07:40:52Z Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision Jin, S. Qu, X. Wang, D. CIVIL ENGINEERING Expressway traffic safety Gaussian mixture model Time to collision 10.1080/18756891.2011.9727860 International Journal of Computational Intelligence Systems 4 6 1122-1130 2014-06-17T08:13:55Z 2014-06-17T08:13:55Z 2011-12 Article Jin, S., Qu, X., Wang, D. (2011-12). Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision. International Journal of Computational Intelligence Systems 4 (6) : 1122-1130. ScholarBank@NUS Repository. https://doi.org/10.1080/18756891.2011.9727860 18756891 http://scholarbank.nus.edu.sg/handle/10635/65181 000303572000003 Scopus |
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Expressway traffic safety Gaussian mixture model Time to collision |
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Expressway traffic safety Gaussian mixture model Time to collision Jin, S. Qu, X. Wang, D. Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision |
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10.1080/18756891.2011.9727860 |
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CIVIL ENGINEERING |
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CIVIL ENGINEERING Jin, S. Qu, X. Wang, D. |
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Article |
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Jin, S. Qu, X. Wang, D. |
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Jin, S. |
title |
Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision |
title_short |
Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision |
title_full |
Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision |
title_fullStr |
Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision |
title_full_unstemmed |
Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision |
title_sort |
assessment of expressway traffic safety using gaussian mixture model based on time to collision |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/65181 |
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1781782571501223936 |