No abstract

No abstract

Determination train braking distance or where should train stop in station represent delicate task which consist of many factors. This factors can be human and technical. In this paper we focused on external factors that mostly affect braking distance and can cause changes in its length. This factors are often imprecisely, crisp data like speed, grade, braking force and braking equipment response time, and for that purpose we use fuzzy logic.A fuzzy logic system that uses rules based on the experience and expert knowledge of a locomotive drivers and railway operators is proposed and applied to achieve train braking distance.The aim of this paper is to determine train braking distance and difference between calculated braking distance and data from the field. In this paper an attempt has been made to create model that can represent real state. This model was created and simulated using Matlab fuzzy logic toolbox.Special attention in this paper is paid on sensitivity analysis, which shown the stability of the obtained results. Sensitivity analysis was done through two phases which shown the stability of the results to a change in the types and values of membership functions and change in the defined fuzzy rules. FLS is tested for ten variants for different train categories and different conditions on the field.

Decision-making support systems in railway transport are systems that make it easier for traffic controllers and dispatchers involved in the regulation of train traffic to make individual decisions more easily and accurately. Without such systems, dispatchers usually make decisions based on previous experiences and feelings they have developed working in train traffic control. However, quality decision-making support systems are based on large amounts of data processed by one or several different artificial intelligence techniques. This paper will examine the architecture of such a system in railway transport, which helps the dispatcher to make decisions based on different criteria and values of individual criteria. The architecture of this decision-making support system has been developed to equal or, if necessary, use the maximum available double-track railway line capacity to resolve delays caused by lack of capacity for any given route. This system has been developed for the specific configuration of a double track, whereby each track is intended for one direction of train traffic. This paper will lay the foundation for understanding decision-making support systems and for the development of a specific model of decision-making support system in practice.

– In this paper, simulation models, created in the OpenTrack simulation tool, were used to compare the proposed timetable with a variant in which all trains from and Lazarevac would be extended to Belgrade Center. This paper aims to analyze the effects of the increasing number of trains on part of Belgrade railway junction from Resnik to Belgrade Center. The results have shown that the section from Dedinje junction to Resnik has more than enough capacity for the increased number of trains. Also, the simulation results show us that when the number of trains increases by 40%, BG trains can operate without or with acceptable delays. Keywords – railway, simulation, BG voz, OpenTrack.