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V. Y. Negrey,K. M. Shkuryn
Pág. 53 - 64
Purpose. The research aims at the analysis of the possibility of using in the development of one-group train formation plan the criterion, which allows to consider the costs associated with the movement of cars and locomotives. Methodology. The existing ...
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Ghazal Zakeri, Nils O.E. Olsson
Pág. 373 - 379
Norwegian railways experienced a steady decline in punctuality during the period 2007-2010. This paper briefly discusses the concept of train punctuality, influencing factors on punctuality, and investigates relationship between punctuality and weather f...
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O. P. Pinchuck
Pág. 270 - 276
In the article the principles of generating tariffs for the suburban and regional passenger transportations with a possibility of determining the profitableness of a specific train are proposed.
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Abderrahman Ait Ali, Jonas Eliasson, Jennifer Warg
Pág. 849 - 856
On highly used railway lines with heterogeneous traffic, timetabling is challenging. In particular, the limited existing capacity means that to guarantee an acceptable level of quality, the infrastructure manager must cancel some train services on the ex...
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Yankai Lv, Haiyan Ding, Hao Wu, Yiji Zhao and Lei Zhang
Federated learning (FL) is an emerging decentralized machine learning framework enabling private global model training by collaboratively leveraging local client data without transferring it centrally. Unlike traditional distributed optimization, FL trai...
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Jonathan Vance, Khaled Rasheed, Ali Missaoui and Frederick W. Maier
Alfalfa is critical to global food security, and its data is abundant in the U.S. nationally, but often scarce locally, limiting the potential performance of machine learning (ML) models in predicting alfalfa biomass yields. Training ML models on local-o...
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Athanasios E. Zlatoudis
Pág. 418 - 424
The need for urban connectivity in the cities of northern Europe has put forward the use of any means of transport. Cities like Hamburg, Stockholm and Venice that traditionally were industrial and commercial centers have developed a significant network o...
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O. V. Lashkov,O. A. Kotsar
Pág. 56 - 58
An issue of optimization of local work as the main part of transportation process has been considered. A complex of actions aimed at improving its indices has been offered. The key attention has been paid to a question of advisability of assigning the un...
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O. Yu. Papakhov,O. M. Lohvinov
Pág. 91 - 92
Basing on the studies of existing methods of train formation plans calculation, the authors have proposed creating a new method of calculating the plan of forming the single-group through trains within the section of predetermined railway stations, and a...
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Junxia Yang and Youpeng Zhang
This paper studies the distributed adaptive cooperative control of multiple urban rail trains with position output constraints and uncertain parameters. Based on an ordered set of trains running on the route, a dynamic multiple trains movement model is c...
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Yazhi Liu, Dongyu Wei, Chunyang Zhang and Wei Li
In QoE fairness optimization of multiple video streams, a distributed video stream fairness scheduling strategy based on federated deep reinforcement learning is designed to address the problem of low bandwidth utilization due to unfair bandwidth allocat...
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Tristan Rigaut, Alexandre Nassiopoulos, Frédéric Bourquin, Patrick Giroux, André Pény
Pág. 926 - 935
Electricity consumption in urban railway stations accounts for almost one third of the total energy consumption of a subway network of a city like Paris. The overall system's efficiency can be optimized by taking advantage of available sources of energy ...
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Mikael Sabuhi, Petr Musilek and Cor-Paul Bezemer
As the number of machine learning applications increases, growing concerns about data privacy expose the limitations of traditional cloud-based machine learning methods that rely on centralized data collection and processing. Federated learning emerges a...
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Fan Huang , Nan Yang, Huaming Chen , Wei Bao and Dong Yuan
With the widespread use of end devices, online multi-label learning has become popular as the data generated by users using the Internet of Things devices have become huge and rapidly updated. However, in many scenarios, the user data are often generated...
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Zhao Wang, Qingguo Xu and Weimin Li
Analyzing and predicting community evolution has many important applications in criminology, sociology, and other fields. In community evolution prediction, most of the existing research is simply calculating the features of the community, and then predi...
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Xavier Boulet, Mahdi Zargayouna, Fabien Leurent, Bachar Kabalan, Feirouz Ksontini
Pág. 744 - 751
Modeling and simulating activities in and around train stations is a challenging task. Indeed, it implies the consideration of a dynamic and heterogeneous set of actors, obeying to different rules and control systems. In this paper, we propose a multi-ag...
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Lea Heinrich, Wolfgang H. Schulz, Isabella Geis
Pág. 269 - 271
Transport systems are marked by a strong path dependency due to habits, infrastructure, and market rigidities. This path dependency result is challenging for innovative solutions as they face unexpected barriers, but also abrupt acceleration once the bar...
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I. Adin, J. Mendizabal, G. de Miguel, J. Goya, ... S. Arrizabalaga
Pág. 4562 - 4571
The suitability of EGNSS (including EGNOS and Galileo early services) for safety railway applications has been analysed by several European projects such as Grail, Grail-2, Satloc, 3InSat, and it is currently being analysed by ERSAT EAV. ERSAT EAV in par...
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L. V. Martsenyuk
Pág. 63 - 81
Purpose. To evaluate the possibility of the foreign countries experience in the reforming of railway transport of Ukraine. Methodology. On the basis of comparative analysis the suitability of foreign experience of infrastructure branches reformation, div...
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