Selected Problems of Transport in Port Towns – Tri-City as an Example

Budzyński, Marcin; Ryś, Dawid; Kustra, Wojciech

doi:10.1515/pomr-2017-0016

Cited by 11 publications

(4 citation statements)

References 17 publications

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“…The improvement of WIM system accuracy is a move towards the WIM system certification by the National Metrological Institutes. This will allow WIM systems to be used for the direct enforcement of weight restrictions which will lead to a reduction in the number of overloaded vehicles [ 6 , 7 , 8 , 9 , 10 ]. The reduction of overloading contributes to a reduction in pavement maintenance costs by extension of the pavement serviceability period [ 11 , 12 , 13 , 14 , 15 ].…”

Section: Literature Reviewmentioning

confidence: 99%

The Effect of Flexible Pavement Mechanics on the Accuracy of Axle Load Sensors in Vehicle Weigh-in-Motion Systems

Burnos

Ryś

2017

Sensors

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Weigh-in-Motion systems are tools to prevent road pavements from the adverse phenomena of vehicle overloading. However, the effectiveness of these systems can be significantly increased by improving weighing accuracy, which is now insufficient for direct enforcement of overloaded vehicles. Field tests show that the accuracy of Weigh-in-Motion axle load sensors installed in the flexible (asphalt) pavements depends on pavement temperature and vehicle speeds. Although this is a known phenomenon, it has not been explained yet. The aim of our study is to fill this gap in the knowledge. The explanation of this phenomena which is presented in the paper is based on pavement/sensors mechanics and the application of the multilayer elastic half-space theory. We show that differences in the distribution of vertical and horizontal stresses in the pavement structure are the cause of vehicle weight measurement errors. These studies are important in terms of Weigh-in-Motion systems for direct enforcement and will help to improve the weighing results accuracy.

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Section: Literature Reviewmentioning

confidence: 99%

The Effect of Flexible Pavement Mechanics on the Accuracy of Axle Load Sensors in Vehicle Weigh-in-Motion Systems

Burnos

Ryś

2017

Sensors

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“…ship handling times and cargo transit times in the yard, and operational effectiveness in ports [76]. Thus, the energy economy is the result of operational effectiveness [19] [77]. As a result, the majority of optimisation studies associated with improved port operation plans contribute to energy efficiency.…”

Section: Management Factors Equipment Managementmentioning

confidence: 99%

Management Strategy for Seaports Aspiring to Green Logistical Goals of IMO: Technology and Policy Solutions

Anh

Rudzki

et al. 2023

Polish Maritime Research

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Recently, because of serious global challenges including the consumption of energy and climate change, there has been an increase in interest in the environmental effect of port operations and expansion. More interestingly, a strategic tendency in seaport advancement has been to manage the seaport system using a model which balances environmental volatility and economic development demands. An energy efficient management system is regarded as being vital for meeting the strict rules aimed at reducing the environmental pollution caused by port facility activities. Moreover, the enhanced supervision of port system operating methods and technical resolutions for energy utilisation also raise significant issues. In addition, low-carbon ports, as well as green port models, are becoming increasingly popular in seafaring nations. This study comprises a comprehensive assessment of operational methods, cutting-edge technologies for sustainable generation, storage, and transformation of energy, as well as systems of smart grid management, to develop a green seaport system, obtaining optimum operational efficiency and environmental protection. It is thought that using a holistic method and adaptive management, based on a framework of sustainable and green energy, could stimulate creative thinking, consensus building, and cooperation, as well as streamline the regulatory demands associated with port energy management. Although several aspects of sustainability and green energy could increase initial expenditure, they might result in significant life cycle savings due to decreased consumption of energy and output of emissions, as well as reduced operational and maintenance expenses.

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“…In modern supply chain management, one of the most critical components is the integration of operations involving the maritime and logistics sectors [37], [38]. Ports are essential nodes in the global logistics network, serving as hubs that facilitate the movement of goods between different modes of transportation, including ships, trucks, and trains, among others [39], [40]. Efficient port operations are essential for reducing the time it takes for goods to travel, saving money, and enhancing the overall efficiency of supply chain activities [41] [42].…”

Section: Introductionmentioning

confidence: 99%

An insight into the Application of AI in maritime and Logistics toward Sustainable Transportation

Vu,

Le,

et al. 2024

JOIV : Int. J. Inform. Visualization

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This review article looks at the developing field of artificial intelligence and machine learning in maritime and marine environment management. The marine industry is increasingly interested in applying advanced AI and ML technologies to solve sustainability, efficiency, and regulatory compliance issues. This paper examines maritime and marine AI and ML applications using a deep literature review and case study analysis. Modeling ship fuel consumption, which impacts the environment and operating expenses, is a top responsibility. The study demonstrates that ML approaches such as Random Forest and Tweedie models can estimate ship fuel use. Statistical analysis demonstrates that the Random Forest model beats the Tweedie model regarding accuracy and consistency. For the training and testing datasets, the Random Forest model has high R2 values of 0.9997 and 0.9926, indicating a solid match. Low Root Mean Square Error (RMSE) and average absolute relative deviation (AARD) suggest that the model accurately reflects fuel use variability. While still performing well, the Tweedie model has lower R2 values and higher RMSE and AARD values, suggesting reduced accuracy and precision in fuel consumption prediction. These findings provide light on the potential applications of artificial intelligence and machine learning in maritime and marine environment management. Advanced analytics enables decision-makers to analyze fuel consumption patterns better, increase operational efficiency, and decrease environmental impact, thus improving maritime sustainability.

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Selected Problems of Transport in Port Towns – Tri-City as an Example

Abstract: Port towns are strategic places from the point of view of transport systems. They form integration junctions

Cited by 11 publications

References 17 publications

The Effect of Flexible Pavement Mechanics on the Accuracy of Axle Load Sensors in Vehicle Weigh-in-Motion Systems

The Effect of Flexible Pavement Mechanics on the Accuracy of Axle Load Sensors in Vehicle Weigh-in-Motion Systems

Management Strategy for Seaports Aspiring to Green Logistical Goals of IMO: Technology and Policy Solutions

An insight into the Application of AI in maritime and Logistics toward Sustainable Transportation

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