




Estimating Matrix Travel Light Vehicle Observations by Volume Sleeve Approach Inference Bayes 

PP: 17351738 

doi:10.18576/amis/100512


Author(s) 

Sobri Abusini,
Adem Kılıcman,


Abstract 

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. 




