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Analyzing the impact of human characteristics on the comprehensibility of road traffic signs
(
IEOM Society
, 2018 , Conference Paper)
Traffic safety is one of major challenges facing most communities worldwide. To improve traffic safety, regulating traffic movement through markings, signs, channelization, and others is essential. Traffic signs are used ...
Optimizing national resource usage through the integration of University shuttle service with the public rail: The case study in Qatar University
(
IEOM Society
, 2018 , Conference Paper)
Qatar University is the largest public educational institution in the State of Qatar. The university community has diverse committed faculty who not only teaching but also conducting research studies contributing actively ...
A Real Case-Based Study Exploring Influence of Human Age and Gender on Drivers’ Behavior and Traffic Safety
(
Springer Verlag
, 2018 , Conference Paper)
The demand for understanding the functional relationship between changes in traffic safety level and human-related factors has increased remarkably due to a steady increase in population and traffic volume. Motor vehicle ...
Ridge penalization-based generalized linear model (GzLM) for predicting risky-driving index
(
IEOM Society
, 2018 , Conference Paper)
Road traffic crashes remain one of the major causes of preventable death and injury worldwide. Human behavior is considered one of the main factors leading to such tragic losses. In this paper, we analyze the responses of ...
The performance assessment for the dMEWMA in capturing changes in simple linear profiles
(
IEOM Society
, 2018 , Conference Paper)
In traditional quality control, the quality of product is typically modeled as the univariate or multivariate distribution of the quality parameters. In more recent applications, the quality is modeled using the relationship ...
An adaptive thresholding-based process variability monitoring
(
Taylor and Francis Inc.
, 2019 , Article)
In high-dimensional processes, monitoring process variability is considerably difficult due to the large number of variables and the limited number of samples. Monitoring changes in the covariance matrix of a multivariate ...
Penalized Conway-Maxwell-Poisson regression for modelling dispersed discrete data: The case study of motor vehicle crash frequency
(
Elsevier B.V.
, 2019 , Article)
Statistical modelling of road crashes has been of extreme interest to researchers over the last decades. Such models are necessary for the investigation of the opportunities for road safety improvement. The motor vehicle ...
Control charts for variability monitoring in high-dimensional processes
(
Elsevier Ltd
, 2019 , Article)
Monitoring process variability is associated with detecting changes in the covariance matrix of a multivariate normal process. Most monitoring methods estimate the sample covariance matrix and compare it with the in-control ...