1.0TTTP Traffic and Transport Theory and Practice Journalhttps://tttp-au.comadminhttps://tttp-au.com/index.php/author/jita-au-com/rich600338<blockquote class="wp-embedded-content" data-secret="t1xJzEQUoe"><a href="https://tttp-au.com/index.php/2024/04/26/public-service-obligation-system-principles/">Public Service Obligation System Principles</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://tttp-au.com/index.php/2024/04/26/public-service-obligation-system-principles/embed/#?secret=t1xJzEQUoe" width="600" height="338" title="“Public Service Obligation System Principles” — TTTP Traffic and Transport Theory and Practice Journal" data-secret="t1xJzEQUoe" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://tttp-au.com/wp-includes/js/wp-embed.min.js </script> https://tttp-au.com/wp-content/uploads/2024/03/cover_issue_949_en_US.jpg595793Vol. 2 No. 1-2 (2017): TTTP – APEIRON Snježana Rajilić Public Service Obligation System Principles Original scientific paper DOI: 10.7251/JTTTP1701008R Download Article PDF Abstract This paper tries to model the public passenger transport system in the railroad traffic from the aspect of the PSO obligation – the Public Transport Obligations, defined by a Regulation enacted by the state level of authority, in accordance with the EU Parliament Regulation 1370/2007/EC. The paper focuses on the aims of the Regulation which regulate the PSO principles, system financing, compensa- tion and subsidies systems. It also establishes the conditions and trends in EU countries. There is also stress about the structure of expenses and income in the exploitation process in relation to the need for subsidies by local authorities for the transport of passengers. Keywords : Regulation, PSO- Public Transport Obligation, trends, expenses, income. Vol. 26 No. 2 (2023): JITA – APEIRON Igor Shubinsky, Alexey Ozerov Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures Original scientific paper DOI: https://doi.org/10.7251/JIT2302061S Download Article PDF Abstract The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures. Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators. Vol. 26 No. 2 (2023): JITA – APEIRON Igor Shubinsky, Alexey Ozerov Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures Original scientific paper DOI: https://doi.org/10.7251/JIT2302061S Download Article PDF Abstract The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures. Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.