A Sensitivity Risk Analysis for Additional Truck Turnaround Time (ATTT) by Container Inspection Stations Derived from C-TPAT and CSI.

Yoon, Dae-Gwun

doi:10.5394/kinpr.2007.31.2.151

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…The existing studies used both analytical and simulation approaches to analyze the congestion at the container terminal gates. Some of them focus on the estimation of the truck queue length and waiting time at the terminal gates [2,[5][6][7]. Some studies analyzed the impacts of vehicle queue length on the approach roads to the container terminals [8,9].…”

Section: Literature Reviewmentioning

confidence: 99%

“…These models are useful for determining the steady state performance of a queuing system. Yoon [6] used M/M/1 and M/M/S queuing models to estimate the delay of the truck as containers are inspected at two successive stages of security inspections. Guan [2] applied a multi-server M/Ek/s queuing model to analyze congestion at the container's terminal gate and to quantify the cost associated with the truck's waiting.…”

Section: Queuing Modelsmentioning

confidence: 99%

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A State-Dependent Approximation Method for Estimating Truck Queue Length at Marine Terminals

Tao

Xie

et al. 2021

Sustainability

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As international trade and freight volumes increase, there is a growing port congestion problem, leading to the long truck queues at US marine terminal gates. To address this problem, some countermeasures have been proposed and implemented for reducing truck queue length at marine terminals. To assess the effectiveness of these countermeasures, a method for accurately estimating terminal gate truck queue length is needed. This study developed a new method, named the state-dependent approximation method, for estimating the truck queue length at marine terminals. Based on the simulation of the truck queuing system, it was found that it takes several hours for the truck queue length to reach its steady state, and neglecting the queue formation (queue dispersion) processes will cause overestimation (underestimation) of truck queue length. The developed model can take into account the queue formation and dispersion processes, and it can be used to estimate the truck queue length caused by short-term oversaturation at marine terminals. For model evaluation, a simulation-based case study was conducted to evaluate the prediction accuracy of the developed model by comparing its results with the simulated queue lengths and the results of other four existing methods, including the fluid flow model, the M/M/S queuing model, and a simulation-based regression model developed a previous study. The evaluation results indicate that the developed model outperformed the other four modeling methods for different states of queue formation and dispersion processes. In addition, this new method can accurately estimate the truck queue length caused by the short-term system oversaturation during peak hours. Therefore, it will be useful for assessing the effectiveness of the countermeasures that are targeted at reducing the peak-hour congestion at marine terminals.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Queuing Modelsmentioning

confidence: 99%

A State-Dependent Approximation Method for Estimating Truck Queue Length at Marine Terminals

Tao

Xie

et al. 2021

Sustainability

View full text Add to dashboard Cite

show abstract

“…After World Trade Center's terror on September 11, 2001 in America and suffering attack of ultra-large oil tanker ship, M/T Limburg of france, security council of each port have tried to enhance the safety and security for freight transport and logistics because there is greater opportunity for terrorists to conceal their attack materials within commercial cargo and containers (Yoon, 2007). Under intensive competition environment among ports, efficient port security system is also required to become a logistics hub of northeast asia in the 21st century.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of PDA-based Image Surveillance System for Harbor Security using IP Camera

Shim

2007

Journal of Navigation and Port Research

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A Sensitivity Risk Analysis for Additional Truck Turnaround Time (ATTT) by Container Inspection Stations Derived from C-TPAT and CSI.

Cited by 2 publications

References 2 publications

A State-Dependent Approximation Method for Estimating Truck Queue Length at Marine Terminals

A State-Dependent Approximation Method for Estimating Truck Queue Length at Marine Terminals

Design and Implementation of PDA-based Image Surveillance System for Harbor Security using IP Camera

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