scholarly journals Dynamic Automated Search of Shunting Routes within Mesoscopic Rail-Traffic Simulators

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Antonin Kavička ◽  
Pavel Krýže

Software tools using computer simulations are frequently used in the research and optimization of railway transport systems. Such simulations serve to examine different railway traffic scenarios (which typically reflect different timetables and railway infrastructure configurations). During the simulation experiments, it is necessary, among other things, to solve tasks related to the determination of track routes along which individual trains or parts of train sets are moved. Many simulation tools require the basic and alternative permissible track routes to be manually specified before starting the simulations, which is a relatively tedious and time-consuming process. Classical graph algorithms cannot be applied to solve the problem of automatic calculation of the routes because they are unable to take into account the length of the object being moved or recognise changes in the direction of its movement. This article presents original innovative algorithms focused on automated dynamic search of track routes (applying an appropriate optimization criterion), which is performed during simulation experiments within simulators working at the mesoscopic level of detail. The algorithms are based on a mathematical model (represented by a specifically designed weighted digraph) that appropriately reflects the actual track infrastructure. The dynamic calculation of each specific track route for a train or a group of railway vehicles considers both the total train set length and the current railway infrastructure occupancy, including blocked parts of the infrastructure due to intervention of the interlocking system. In addition, the places where the train set movement direction is changed can be identified on each route found. Applications of the algorithms and of the mathematical model of the track layout are demonstrated on a model track infrastructure.

2019 ◽  
Vol 59 (4) ◽  
pp. 423-434 ◽  
Author(s):  
Mykola Sysyn ◽  
Olga Nabochenko ◽  
Ulf Gerber ◽  
Vitalii Kovalchuk ◽  
Oleksiy Petrenko

A railway turnout is an element of the railway infrastructure that influences the reliability of a railway traffic operation the most. The growing necessity for the reliability and availability in the railway transportation promotes a wide use of condition monitoring systems. These systems are typically based on the measurement of the dynamic response during operation. The inertial dynamic response measurement with on-board systems is the simplest and reliable way of monitoring the railway infrastructure. However, the new possibilities of condition monitoring are faced with new challenges of the measured information utilization. The paper deals with the condition monitoring of the most critical part of turnouts - the common crossing. The application of an on-board inertial measurement system ESAH-F for a crossing condition monitoring is presented and explained. The inertial measurements are characterized with the low correlation of maximal vertical accelerations to the lifetime. The data mining approach is used to recover the latent relations in the measurement’s information. An additional time domain and spectral feature sets are extracted from axle-box acceleration signals. The popular spectral kurtosis features are used additionally to the wavelet ones. The feature monotonicity ranking is carried out to select the most suited features for the condition indicator. The most significant features are fused in a one condition indicator with a principal component analysis. The proposed condition indicator delivers an almost two-time higher correlation to the lifetime as the maximal vertical accelerations. The regression analysis of the indicator to the lifetime with an exponential fit proves its good applicability for the crossing residual useful life prognosis.


Author(s):  
Nikoloz Mgebrishvili ◽  
Guri Sharashenidze ◽  
Manana Moistsrapishvili ◽  
Sergo Sharashenidze ◽  
Liana Kuparashvili ◽  
...  

Development of modern railways largely depends on the control of intactness of the wheel pairs and rails. It is impossible to ensure safety and increase the speed of railway traffic without providing such control. Detection of the wheel pairs’ and rails’ wear and damage is one of the key problems of railway science. Many scientific works are accomplished and lot of devices are elaborated in this field, but the mentioned problem still remains urgent. In order to increase the traffic safety, the group of authors has proposed a constructional scheme of the mobile device for detection of wheel pairs’ and rails’ wear and damage, which will have increased accuracy of measurement. Increasing of accuracy of measurement is carried out on the basis of development of mathematical model, which provides the realization of equal wear of wheel pairs’ as well as ones no equal wear. By installation of the proposed device on each wheel pair of each railcar of the rolling stock, the automatic control of wheel pairs’ and rails’ condition will be achieved. Namely: -Detection of the worn out wheel pair and determination of wear degree; -Detection of the damaged wheel pair; -Identification of the worn out or damaged wheel pair. Besides, on the basis of elaborated mathematical model: -Detection of the worn out rail; -Detection of the damaged rail; -Identification of location of the worn out or damaged rail. The obtained information will be constantly connected to the locomotive computer system. Therefore, for checking rolling stocks, there will no longer be need to build expensive stationary systems, to move trains great distances for their inspection and in the result, the time lost for stoppage will be saved. So, with the help of proposed mobile device, the traffic safety increases and at the same time expenses for detection of wheel pairs’ wear and damage decrease, which results in significant economic effect.


2017 ◽  
Vol 11 (2) ◽  
pp. 148-162 ◽  
Author(s):  
Pei Liu ◽  
Baoming Han

The train timetable is a crucial document for organization of railway traffic. A high-quality train timetable is not only implementable in operational environment, but also efficient in terms of capacity utilization of railway infrastructure. In this paper, we try to solve the train timetabling problem of a double track high-speed railway line with heavy traffic and trains with different operational speeds are operated. In order to obtain a feasible timetable with high efficiency, different kinds of headway time are distinguished in the process of train timetabling. With a time expanded graph describing train movements, an integer linear programming is formulated. A branch and price algorithm is proposed to solve the model. The case study shows that more trains will be scheduled when different kinds of headway time considered.


Transport ◽  
2016 ◽  
Vol 32 (3) ◽  
pp. 282-290 ◽  
Author(s):  
Gintautas Bureika ◽  
Eduardas Gaidamauskas ◽  
Jonas Kupinas ◽  
Marijonas Bogdevičius ◽  
Stasys Steišūnas

The article discusses the problem of railway safety management and the criteria for evaluating the traffic risk described in various scientific publications. The research aims to assess the risk posed to railway infrastructure objects and to create a model for safety risk evaluation. The research on the traffic safety risk with respect to the infrastructure of the rail transport system was divided into three stages. The Plan–Do–Check–Act (PDCA) model can be used for investigating the problem of managing railway traffic safety risks in the Lithuanian railways. The main threats to railway infrastructure objects are defined, and the catalogue of technical parameters of level crossings of the Lithuanian railways is presented. The maximum allowable train speed, the intensity of railway and road traffic, as well as the size (width) and visibility of level crossings from the train driver’s cab are chosen as the main criteria for evaluating the vulnerability of a level crossing. The logistic regression method has been applied to rank and assess the safety of level crossings of the Lithuanian railways. The validity of the model developed in the present work for assessing traffic safety risks at level crossings of Lithuanian railways is about 86%. The suggested risk evaluation model is flexible and can be easily adapted for the evaluation and monitoring of safety risk of other elements pertaining to railway infrastructure. Finally, the basic conclusions and recommendations are provided.


2014 ◽  
Vol 611 ◽  
pp. 130-136 ◽  
Author(s):  
Ľubica Miková ◽  
Michal Kelemen ◽  
Dušan Koniar

The paper deals with creation of a mathematical model of the mobile robot. For description of the kinematic variables such as position and velocity of each wheel a transformation matrix is used. The simulation model can be applied for calculation of assumed of the undercarriage centre of gravity and path of wheels. The function model was also used for experimental verification of the results of simulation experiments.


2018 ◽  
Vol 19 (3) ◽  
pp. 224-232 ◽  
Author(s):  
Ioannis Karakikes ◽  
Wladimir Hofmann ◽  
Lambros Mitropoulos ◽  
Mihails Savrasovs

Abstract Simulation modelling tools have been widely adopted for the evaluation of alternatives in transport planning, management and logistics. The complexity that underlies in transport systems and logistics necessitate the integration of different models that are capable of overcoming limitations that may exist individually to each model. Towards this direction, this paper aims to integrate two simulation software and use the integrated model for the evaluation of traffic and logistics measures in the wider area of Volos Port, Greece. The built model is able to simulate the traffic conditions on a transport network along with port’s intra-logistics processes and is used to evaluate a set of measures in the year 2030, by comparing it with the situation in the year 2030 without having implemented any new measure. For the evaluation, a set of indicators is used to gauge the environmental and transport impacts. The analysis is completed by using a multi-criteria decision making tool to generate the Logistics Sustainability Index (LSI) to summarize the information that is provided by the indicators. The results show that the use of integrated simulation models can provide a holistic impact evaluation of complex decisions with a high level of accuracy.


2020 ◽  
Vol 18 (2) ◽  
pp. 172-197
Author(s):  
O. N. Pokusaev ◽  
A. E. Chekmarev ◽  
V. S. Evseev

In many world’s most populous cities, railways are an integral part of urban transport systems. Commuter and intraurban passenger railway traffic is often and widely considered in this context. On the other hand, the constant growth in passenger traffic of longdistance trains, traditionally gravitating towards railway stations and adjacent urban transport hubs, including metro stations through which arriving passengers pass towards their final destinations in the city, requires search for new solutions to improve comfort of the trip for passengers, and to remove the excess load from the urban transit system. Considering the experience and features of organization of long-distance passenger railway traffic in various countries, the authors based on previous research suggests certain solutions regarding Moscow railway hub. To organize comfortable environment for passengers of all categories of trains, it is advisable to develop a balanced technology of train traffic within the Moscow junction, excluding overloading of individual elements of the transport system (in particular, of rail stations in the city center). The objective of the article is to analyze global experience in organizing traffic of long-distance passenger trains within the boundaries of large agglomerations and to develop proposals to organize additional stopping points for long-distance trains in various districts of Moscow, which will help reduce the load on central transport and interchange hubs, improve quality of transportation services for passengers, and develop the districts of Moscow and Moscow region adjacent to the new TIHs.


1970 ◽  
Vol 24 (2) ◽  
pp. 99-107
Author(s):  
Gordan Stojić ◽  
Slavko Vesković ◽  
Ilija Tanackov ◽  
Sanjin Milinković

The provision of appropriate quality rail services has an important role in terms of railway infrastructure: quality of infrastructure maintenance, regulation of railway traffic, line capacity, speed, safety, train station organization, the allowable lines load and other infrastructure parameters.The analysis of experiences in transforming the railway systems points to the conclusion that there is no unique solution in terms of choice for institutional rail infrastructure management modes, although more than nineteen years have passed from the beginning of the implementation of the Directive 91/440/EEC. Depending on the approach to the process of restructuring the national railway company, adopted regulations and caution in its implementation, the existence or absence of a clearly defined transport strategy, the willingness to liberalize the transport market, there are several different ways for institutional management of railway infrastructure.A hybrid model for selection of modes of institutional rail infrastructure management was developed based on the theory of artificial intelligence, theory of fuzzy sets and theory of multicriteria optimization.KEY WORDSmanagement, railway infrastructure, organizational structure, hybrid model


2017 ◽  
Vol 6 (2) ◽  
pp. 63-68
Author(s):  
Бурмистрова ◽  
Olga Burmistrova ◽  
Пильник ◽  
Yuliya Pilnik

The mathematical-mechanical modeling - is the study of complex transport systems (processes) through on-the structure and the research object model. Mathematical models allow a pre-selection of optimal solutions according to specific criteria. These scientifically based and are designed to help leaders in the development, validation and acceptance of efficient, high-quality management decisions in the forest complex. But it must be a pony-mother, that any solution obtained by calculating the mathematical model, optimal only for one or more criteria.


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