Simulation of railroad terminal operations and traffic control strategies in critical scenarios

Carboni, Angela; Deflorio, Francesco Paolo

doi:10.1016/j.trpro.2020.03.023

Cited by 10 publications

(2 citation statements)

References 13 publications

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“…In the inland terminals serving urban agglomerations and their surroundings, the typical equipment used includes RMG cranes, RTG cranes, or Reachstackers [37,38]. Various energy sources and power loading equipment are adapted to the specific location and operations performed at a given terminal.…”

Section: Crane Energy Efficiencymentioning

confidence: 99%

Analysis of the Overhead Crane Energy Consumption Using Different Container Loading Strategies in Urban Logistics Hubs

Kłodawski,

Jachimowski,

Chamier-Gliszczyński

2024

Energies

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This study addresses the critical gap in the literature regarding the energy efficiency of intermodal terminals in smart cities, mainly focusing on crane operations during train loading processes. Novelty’s contribution lies in developing a comprehensive simulation model in FlexSim, where quantitative analysis of crane energy consumption, factoring in container location in the storage yard, rehandling operations, and crane movement strategies were performed. Moreover, the analysis of hoist, trolley, and gantry movements was performed to evaluate their impact on overall container loading process energy efficiency. The findings reveal that the choice of train loading method significantly influences crane energy consumption, thereby affecting the operational costs, environmental footprint, and energy efficiency of the logistics hub in the form of an intermodal terminal. This research provides a methodology for assessing and enhancing the energy efficiency of intermodal terminals and highlights the broader implications for smart city sustainability goals, including reduced greenhouse gas emissions, lower operating costs, and improved transportation infrastructure. The outcomes of this research can possibly support smart city planners and logistics managers in making informed decisions to optimise intermodal terminal operations, contributing to urban areas’ sustainable development and economic resilience.

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Section: Crane Energy Efficiencymentioning

confidence: 99%

Analysis of the Overhead Crane Energy Consumption Using Different Container Loading Strategies in Urban Logistics Hubs

Kłodawski,

Jachimowski,

Chamier-Gliszczyński

2024

Energies

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“…General-purpose simulation software is another prevailing type of tool (Table 2), as exemplified by Villon ( 43 , 44 , 47 ), Aimsum ( 51 ), AnyLogic ( 49 , 50 ), and Simul 8 ( 48 ). These tools typically assume a production flow system and ignore the details of movement location and potential routing conflicts in the system.…”

Section: Previous Researchmentioning

confidence: 99%

Quantifying the Influence of Volume Variability on Railway Hump Classification Yard Performance with AnyLogic Simulation

Zhao¹,

Dick²

2023

Transportation Research Record: Journal of the Transportation R

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On North American freight railways, railcars transported in manifest (carload) freight trains are required to stop and be resorted at multiple intermediate classification (marshalling) yards before reaching their destination. Yard dwell time comprises the majority of total railcar transit time, and railway yard congestion can further promote mainline train delay. However, most of the literature on railroad performance has focused on the mainline, and few of the previous yard studies specifically examined the yard performance impacts of vast volume fluctuation because of variable shipping demand. To further understand yard behavior under these conditions, this paper explores the influence of inbound traffic volume variability on classification yard performance and outbound train size using a novel AnyLogic simulation model. A series of simulation experiments quantify the interaction between inbound and outbound train size variability as measured by different yard performance metrics under different overall traffic volumes and blocking patterns. The results quantify the impact of volume variation on railway classification yard level of service, and suggest that forming longer blocks leads to shorter dwell times but larger sensitivity to volume variation compared to forming multiple short blocks. Comparison of arrival and departure train size distributions indicates that classification yards moderate volume fluctuations while causing departure delays. These results serve as a quantitative foundation for further study of yard performance recovery patterns following traffic volume surges and the resulting interactions between yards and mainlines in the railway network, and can inform railroad operating plan adjustments to better manage yard traffic and utilize existing resources.

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Process Simulation of Disruption of the Cargo Train Formation Plan at the Station

Bessolitsyn

Yugrina

2022

International Scientific Siberian Transport Forum TransSiberia - 2021

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Simulation of railroad terminal operations and traffic control strategies in critical scenarios

Cited by 10 publications

References 13 publications

Analysis of the Overhead Crane Energy Consumption Using Different Container Loading Strategies in Urban Logistics Hubs

Analysis of the Overhead Crane Energy Consumption Using Different Container Loading Strategies in Urban Logistics Hubs

Quantifying the Influence of Volume Variability on Railway Hump Classification Yard Performance with AnyLogic Simulation

Process Simulation of Disruption of the Cargo Train Formation Plan at the Station

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