Traffic Modelling at the Port of Dover

Preston, Cliff; Horne, Phillip; O’Hanley, J.R.; Scaparra, Maria Paola

doi:10.1080/2058802x.2018.1452422

Cited by 2 publications

(2 citation statements)

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“…Derse and Gocmen [20] used ARENA, a discrete event simulation software, to analyze the operating performance measures of a container terminal system, including ship waiting times, queue time of the processes, the number of the containers at the queue, the usage rate of the resources and the number of the loading-unloading containers. Preston et al [21] used a discrete-event simulation model in analyzing the future operation of a ferry port considering the increased traffic volumes. Preston et al [9] also used this model for identifying the critical thresholds for vehicle processing times that would cause the system to become oversaturated.…”

Section: Discrete-event Simulationmentioning

confidence: 99%

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: Discrete-event Simulationmentioning

confidence: 99%

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

Tao

Xie

et al. 2021

Sustainability

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“…Simplified schematic of the Port of Dover Eastern Docks.Figure adaptedfrom[32]. TAP = Traffic Assessment Project.…”

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confidence: 99%

Masterplanning at the Port of Dover: The Use of Discrete-Event Simulation in Managing Road Traffic

et al. 2020

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The Port of Dover is Europe’s busiest ferry port, handling £119 billion or 17% of the UK’s annual trade in goods. The Port is constrained geographically to a small area and faces multiple challenges, both short- and long-term, with managing the flow of five million vehicles per year to/from mainland Europe. This article describes some of the work that the Port is doing to minimize the impact of port road traffic on the local community and environment using discrete-event simulation modeling. Modeling is particularly valuable in identifying where future bottlenecks are likely to form within the Port due to projected growth in freight traffic and comparing the effectiveness of different interventions to cope with growth. One of our key findings is that space which can be used flexibly is far more valuable than dedicated space. This is supported by the much greater reduction in traffic congestion that is expected to be achieved given a 10% increase in freight traffic by reallocating space at the front of the system to temporarily hold vehicles waiting to pass through border control and check-in compared to extending the amount of space for ferry embarkation at the rear of the system. The importance of flexible space has implications for port design that can be applied more broadly. Modeling is also useful in identifying critical thresholds for vehicle processing times that would cause the system to become overwhelmed. Increasing the check-in time by just three to five minutes, for example, would completely exceed the Port’s capacity and produce indefinite queueing. This finding has important implications for Brexit planning. From a wider context, the research presented here nicely illustrates how simulation can be used to instill more evidence-based thinking into port masterplanning and support “green port” and other corporate sustainability initiatives.

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Traffic Modelling at the Port of Dover

Cited by 2 publications

References 0 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

Masterplanning at the Port of Dover: The Use of Discrete-Event Simulation in Managing Road Traffic

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