Assessing the Efficiency of Increasing the Track Speed in the Line Section Rokycany–Plzeň hl. n.

Nachtigall, Petr; Široký, Jaromír; Tischer, Erik

doi:10.3390/su12187415

Cited by 8 publications

(4 citation statements)

References 5 publications

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“…For effective comparison, it is appropriate to compare four selected indicators (the average travel time, the average travel speed, the number of connections, the average interval between connections). The values of these indicators are compared and shown in Table 1 [35,36]. These figures show that the average travel time was reduced by more than 30 min when compared to the current situation.…”

Section: Discussionmentioning

confidence: 98%

Optimization of Timetables on the Bratislava–Žilina–Košice Route in the Period after the End of the COVID-19 Pandemic

et al. 2022

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Quality and efficient long-distance transport as a key system of public passenger transport could be the basis for the national and international comprehensive integrated transport system. Especially due to the pandemic caused by the COVID-19 disease, the demand for long-distance transport has significantly decreased since March 2020 in the Slovak Republic on the busiest long-distance line Bratislava–Žilina–Košice. It is, therefore, necessary to propose various measures in order to increase this demand and bring passenger frequencies to at least the level of values before this period. This paper analyzes the impact of the measures on passenger frequencies in 2020, examining the amount of their fall in individual months of the first half of the year 2020 on the long-distance route Bratislava–Žilina–Košice. Furthermore, the paper deals with the long-term concept of national long-distance passenger rail transport on the mentioned line in the period after the end of the pandemic. It uses scientific methods enabling to rationalize and optimize current train timetables. The benefits of these proposals will be to offer passengers better transport services, with their frequencies expected to increase in the coming years.

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Section: Discussionmentioning

confidence: 98%

Optimization of Timetables on the Bratislava–Žilina–Košice Route in the Period after the End of the COVID-19 Pandemic

et al. 2022

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“…And deep learning models don't need it (more in the Figure 4), because the feature extraction step is already a part of the process that takes place in an artificial neural network. During the training process, this step is also optimized by the neural network to obtain the best possible abstract representation of the input data [4]. For example, if you want to use a machine learning model to determine whether a particular image shows a car or not, we humans first need to identify the unique features of a car (shape, size, windows, wheels, etc.…”

Section: Methodsmentioning

confidence: 99%

Artificial intelligence in operational applications of railway infrastructure manager

Šrámek,

Široký,

Vojtek

2023

APP

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The main goal of this article is to present the possibility of using artificial intelligence in operational application of railway infrastructure manager. Railway 4.0 can be controlled fully digitally – operational applications based on the artificial intelligence can optimize the technology of railway traffic control. Thereafter, a wide range of equipment could be controlled by application through a secure interface.

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“…Zeng et al noted that using trains to move passengers and goods helps protect the environment by reducing energy consumption and emissions of pollutants such as CO 2 into the atmosphere [2]. Nachtigall et al emphasized that rail transport is the most environmentally friendly form of land transport, but that, in recent decades, the growth of individual road and air transport can also be observed [3]. Given its lower environmental impact and high traffic volume, rail transport can become an important sustainable system in the future [4].…”

Section: Introductionmentioning

confidence: 99%

Method of Assessing the Risk of Implementing Railway Investments in Terms of the Cost of Their Implementation

et al. 2021

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Exceeding the approved budget is often an integral part of the implementation of construction projects, especially those where unforeseen threats may occur. Therefore, each construction investment should contain elements of risk forecasting, mainly in terms of the cost of its implementation. Only a small number of institutions apply effective cost control methods, taking into account the specifics of a given industry. Especially small construction companies that participate in the structure of the implementation of large construction projects as subcontractors. The article presents a method by which it is possible to determine, with certain probability, the final cost of railway construction investments carried out in Poland. The method was based on a reliable database of risk factors published in sources. In this article, the main presumptions of the original method are presented, which take into account the impact of potential, previously recognized, risks specific to railway investments, and enable project managers to relate them to the conditions where the implementation of a specific object is planned. The authors assumed that such a relatively simple method, supported by a suitable computational program, would encourage teams that plan to implement railway projects to use it and increase the credibility of their schedules.

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Assessing the Efficiency of Increasing the Track Speed in the Line Section Rokycany–Plzeň hl. n.

Cited by 8 publications

References 5 publications

Optimization of Timetables on the Bratislava–Žilina–Košice Route in the Period after the End of the COVID-19 Pandemic

Optimization of Timetables on the Bratislava–Žilina–Košice Route in the Period after the End of the COVID-19 Pandemic

Artificial intelligence in operational applications of railway infrastructure manager

Method of Assessing the Risk of Implementing Railway Investments in Terms of the Cost of Their Implementation

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