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Estimating matrix travel light vehicle observations by volume sleeve approach inference bayes

The process can change the assignment of a knowledge matrix of travel [Ti j] into the estimated flow of arms, the two main points of the assignment process is the proportion of travel between zones i and j zone on an arm and balance assignment. The problem is the number of arms in the measurement of...

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Main Authors: Abusini, Sobri, Kilicman, Adem
Format: Article
Language:English
Published: Natural Sciences Publishing 2016
Online Access:http://psasir.upm.edu.my/id/eprint/54188/1/Estimating%20matrix%20travel%20light%20vehicle%20observations%20by%20volume%20sleeve%20approach%20inference%20bayes.pdf
http://psasir.upm.edu.my/id/eprint/54188/
http://www.naturalspublishing.com/Article.asp?ArtcID=12026
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spelling my.upm.eprints.541882018-03-06T01:05:13Z http://psasir.upm.edu.my/id/eprint/54188/ Estimating matrix travel light vehicle observations by volume sleeve approach inference bayes Abusini, Sobri Kilicman, Adem The process can change the assignment of a knowledge matrix of travel [Ti j] into the estimated flow of arms, the two main points of the assignment process is the proportion of travel between zones i and j zone on an arm and balance assignment. The problem is the number of arms in the measurement of traffic volume is less than the sum of n - origin destination pairs (dual problem), thus resulting in the problem has a solution that is much that is difficult to solve. For that to look for a single solution to solve these problems. In terms of the calculation method of Inference Bayes approach is very interesting, because the assumptions the calculation of the proportion of the matrix accurate travel and arrival rate multivariate normal distribution vehicles. From the data processing, wherein the matrix of the posterior and matrices trip on field observations seen the total number of matrices trip posterior 299.66 and the total amount of the average matric trip observations 320.5 on light vehicles (KR) , where in the matrix trips posterior smaller than the matrix of travel observations. This figure shows that the increase in the number of light vehicles around 7 in one year. Natural Sciences Publishing 2016 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/54188/1/Estimating%20matrix%20travel%20light%20vehicle%20observations%20by%20volume%20sleeve%20approach%20inference%20bayes.pdf Abusini, Sobri and Kilicman, Adem (2016) Estimating matrix travel light vehicle observations by volume sleeve approach inference bayes. Applied Mathematics & Information Sciences, 10 (5). pp. 1735-1738. ISSN 1935-0090; ESSN: 2325-0399 http://www.naturalspublishing.com/Article.asp?ArtcID=12026 10.18576/amis/100512
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The process can change the assignment of a knowledge matrix of travel [Ti j] into the estimated flow of arms, the two main points of the assignment process is the proportion of travel between zones i and j zone on an arm and balance assignment. The problem is the number of arms in the measurement of traffic volume is less than the sum of n - origin destination pairs (dual problem), thus resulting in the problem has a solution that is much that is difficult to solve. For that to look for a single solution to solve these problems. In terms of the calculation method of Inference Bayes approach is very interesting, because the assumptions the calculation of the proportion of the matrix accurate travel and arrival rate multivariate normal distribution vehicles. From the data processing, wherein the matrix of the posterior and matrices trip on field observations seen the total number of matrices trip posterior 299.66 and the total amount of the average matric trip observations 320.5 on light vehicles (KR) , where in the matrix trips posterior smaller than the matrix of travel observations. This figure shows that the increase in the number of light vehicles around 7 in one year.
format Article
author Abusini, Sobri
Kilicman, Adem
spellingShingle Abusini, Sobri
Kilicman, Adem
Estimating matrix travel light vehicle observations by volume sleeve approach inference bayes
author_facet Abusini, Sobri
Kilicman, Adem
author_sort Abusini, Sobri
title Estimating matrix travel light vehicle observations by volume sleeve approach inference bayes
title_short Estimating matrix travel light vehicle observations by volume sleeve approach inference bayes
title_full Estimating matrix travel light vehicle observations by volume sleeve approach inference bayes
title_fullStr Estimating matrix travel light vehicle observations by volume sleeve approach inference bayes
title_full_unstemmed Estimating matrix travel light vehicle observations by volume sleeve approach inference bayes
title_sort estimating matrix travel light vehicle observations by volume sleeve approach inference bayes
publisher Natural Sciences Publishing
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/54188/1/Estimating%20matrix%20travel%20light%20vehicle%20observations%20by%20volume%20sleeve%20approach%20inference%20bayes.pdf
http://psasir.upm.edu.my/id/eprint/54188/
http://www.naturalspublishing.com/Article.asp?ArtcID=12026
_version_ 1643835584569933824
score 13.211869

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