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Joint distribution modelling of vehicle dynamic parameters using copula.
- Source :
-
Transportation Letters . Jun2022, Vol. 14 Issue 5, p503-511. 9p. - Publication Year :
- 2022
-
Abstract
- The fitted Graph HT <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mi>c</mi><mrow><msub><mi>c</mi><mrow><mi>l</mi><mi>a</mi><mi>t</mi></mrow></msub></mrow><mo>-</mo><mi>a</mi><mi>c</mi><mrow><msub><mi>c</mi><mrow><mi>l</mi><mi>o</mi><mi>n</mi><mi>g</mi></mrow></msub></mrow></math> ht conditional bivariate probability distributions clearly depict that the acceleration characteristics vary with the type of subject vehicle involved. Further, the modal values of the bivariate Graph HT <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mi>c</mi><mrow><msub><mi>c</mi><mrow><mi>l</mi><mi>a</mi><mi>t</mi></mrow></msub></mrow><mo>-</mo><mi>a</mi><mi>c</mi><mrow><msub><mi>c</mi><mrow><mi>l</mi><mi>o</mi><mi>n</mi><mi>g</mi></mrow></msub></mrow></math> ht copula models were estimated corresponding to speeds exceeding 20 kmph for all vehicle types. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 19427867
- Volume :
- 14
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- Transportation Letters
- Publication Type :
- Academic Journal
- Accession number :
- 157177110
- Full Text :
- https://doi.org/10.1080/19427867.2021.1897936