 |
Main Page of the
Journal
Main Page of the WSEAS
January 2007, February 2007,
March 2007,
April
2007, May 2007,
June 2007,
July 2007,
August 2007,
Sept. 2007,
October 2007,
Nov. 2007,
Dec.2007, 2008
WSEAS TRANSACTIONS
on BUSINESS and ECONOMICS
Issue 5, Volume 4, May 2007
Print
ISSN: 1109-9526
E-ISSN: 2224-2899 |
|
|
|
|
Title of the Paper: Measuring Process Capability
for Bivariate Non-Normal
Process Using the Bivariate Burr Distribution
DOWNLOAD FULL PDF
Authors: B. Abbasi, S. Ahmad, M. Abdollahian and P.Zeephongsekul
Abstract: As is well known, process capability analysis for more than one
quality variables is a complicated and sometimes contentious area with
several quality measures vying for recognition. When these variables exhibit
non-normal characteristics, the situation becomes even more complex. The aim
of this paper is to measure Process Capability Indices (PCIs) for bivariate
non-normal process using the bivariate Burr distribution. The univariate
Burr distribution has been shown to improve the accuracy of estimates of
PCIs for univariate non-normal distributions (see for example, [7] and
[16]). Here, we will estimate the PCIs of bivariate non-normal distributions
using the bivariate Burr distribution. The process of obtaining these PCIs
will be accomplished in a series of steps involving estimating the unknown
parameters of the process using maximum likelihood estimation coupled with
simulated annealing. Finally, the Proportion of Non- Conformance (PNC)
obtained using this method will be compared with those obtained from
variables distributed under the bivariate Beta, Weibull, Gamma and Weibull-Gamma
distributions.
Keywords: Process Capability Index (PCI), bivariate Burr distribution,
simulated annealing algorithm, non-normaldistribution, multivariate processes.
Comments,
Questions, Discussion ...
Title of the Paper: A Car-Following Model
for Intelligent Transportation Systems Management
DOWNLOAD FULL PDF
Authors: Hsun-Jung Cho, Yuh-Ting Wu
Abstract: Intelligent Transportation Systems (ITS) needs traffic flow models
to provide real time traffic
information and to analyze traffic properties. This study proposes a new
microscopic traffic flow model to describe car-following process and to
represent certain traffic flow phenomena. Driver individual maximum speed is
considered to enable the model to reflect the external environment and
driver characteristics. The proposed model can explain why speeds and
spacing differ among drivers even when the driving conditions are identical.
Illustrative simulations are presented. The simulation results indicate that
the proposed model is explainable, and it can represent equilibrium and
disequilibrium states of microscopic and macroscopic traffic, such as:
stable traffic, unstable traffic, equilibrium speed-flow relationship,
closing-in, shying-away, capacity drop, and traffic hysteresis.
Keywords: Individual maximum speed;
Traffic phenomena; Car-following; Driver characteristic; Equilibrium state;
Disequilibrium state; Microscopic traffic simulation.
Comments,
Questions, Discussion ...
|
|
|
