The Microsimulation Model for Assessing the Impact of Inbound Traffic Flows for Container Terminals Located near City Centers

Grubišić, Neven; Krljan, Tomislav; Maglić, Livia; Vilke, Siniša

doi:10.3390/su12229478

Cited by 13 publications

(6 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Inside their yards and container blocks, high demand external peaks coupled with capacity and equipment availability problems can influence negatively on the reliability and performance of the terminal. In addition to these challenges, environmental effects stemming from idling trucks have further emerged as a serious problem, as the emissions have negative impact on the whole communities living in the surroundings [15][16][17][18].…”

Section: Problem Overviewmentioning

confidence: 99%

Automation of the Road Gate Operations Process at the Container Terminal—A Case Study of DCT Gdańsk SA

2021

View full text Add to dashboard Cite

The future increased terminal capacity will result in more container movement through the road complex and rail siding, which are one of the most critical areas (potential bottlenecks) in the container terminal. Truck turnaround time is one of the major factors that customers take into account while deciding how many container volumes they will handle through the container terminal. To enable to optimize increased traffic with future container terminal development, as well as increase gates throughput, and as a consequence, encourage more volume and increase customer satisfaction, Deepwater Container Terminal Gdańsk SA plans to reorganize and automatize the gate operation process. Gate automation includes supply, installation, commissioning, implementation, and maintenance of software and hardware that would allow automatizing the handling of trucks at container terminal gates by using OCR (optical camera recognition) technology, LPR (license plate recognition) systems and self-service kiosk for truck drivers.

show abstract

Section: Problem Overviewmentioning

confidence: 99%

Automation of the Road Gate Operations Process at the Container Terminal—A Case Study of DCT Gdańsk SA

2021

View full text Add to dashboard Cite

show abstract

“…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]. Some studies investigated different operational strategies, such as truck appointment systems, extending gate hours, and pooled queue strategy, on the reduction of gate congestions [10][11][12][13][14][15].…”

Section: Literature Reviewmentioning

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

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.

show abstract

“…This fact can be confirmed by the evidence that selected ports i.e., terminals are organized into a North Adriatic Port Association (NAPA) whose basic function is to prevent or decrease the overall influence of individual ports on the North-Adriatic transport corridor. Due to the high significance of the North-Adriatic transport corridor, as the main European Gateway for Far-East container traffic with destinations in Central and Eastern Europe, it is very important to estimate the technical efficiency levels and compare differences within selected NAPA terminals [66].…”

Section: Testing Area Description and Econometric Models Specificationmentioning

confidence: 99%

The Stochastic Frontier Model for Technical Efficiency Estimation of Interconnected Container Terminals

Krljan

Grbčić

Hess

et al. 2021

JMSE

Self Cite

View full text Add to dashboard Cite

Nowadays, container terminals are subject to extensive technological changes and specific transformations. Changes applied to terminals tend to increase their ability to offer high- end personalized services to the customers and finally affect the competitiveness. The estimation of efficiency corresponds to terminals’ ability to increase the production with a specific level of inputs and has been the topic of many studies, especially those conducted on a wider regional or global level. The main objectives of our research are to evaluate the model, conduct sensitivity analysis, and estimate technical efficiencies on a sample of North Adriatic Ports Association (NAPA) interconnected medium-sized terminals, located in the narrow geographic area, on the same transport corridor thus representing each other’s competition. For that purpose, we have implemented a stochastic frontier approach on a balanced panel dataset of first-order and additionally introduced control input variables with Cobb-Douglas and trans-logarithmic functional forms. The stochastic production frontier estimation shows the range of NAPA terminals’ technical efficiencies from 65.24% to 93.92%, with a global average of 78.49% and a positive trend of 1.28% over the observed period of time. Our findings also indicate that NAPA terminals with the highest estimated technical efficiencies do not necessarily need to be the most productive ones, and vice versa.

show abstract

The Microsimulation Model for Assessing the Impact of Inbound Traffic Flows for Container Terminals Located near City Centers

Cited by 13 publications

References 30 publications

Automation of the Road Gate Operations Process at the Container Terminal—A Case Study of DCT Gdańsk SA

Automation of the Road Gate Operations Process at the Container Terminal—A Case Study of DCT Gdańsk SA

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

The Stochastic Frontier Model for Technical Efficiency Estimation of Interconnected Container Terminals

Contact Info

Product

Resources

About