Railway Information System Research Articles

Development of Railway Information System to Improve Railway Data Aggregation and Analysis in Tanzania

For more than three decades, railway transportation in Tanzania has been in an on-and-off state even though a railway network exists. This is due to damaged tracks, a lack of proper management, and railway operational information. Recently, the Tanzanian government made efforts to revive railway transportation by reopening a few train routes and constructing a new and improved railway network. Even with revived operations, the digitalization process of railway data is still at a low pace as most data is populated in excel sheets for analysis; the major source of data being paper-based. With the use of a mixed research method, this paper provides an information system in the form of mobile and web applications, which provide a platform for populating railway data through the web application accessible to the railway corporation and disseminating railway information to the public through the mobile application. With these platforms, data aggregation and analysis have been made easier and more understandable than the use of excel sheets alone. The results show great possibilities for increased use of digital techniques such as web mapping, which contribute to higher data accuracy and better visualization of railway information that can be disseminated to the public.

Development of a software for automatic identification of the rolling stock at marshaling yards using a neural network

The research paper presents the author’s software for automatic identification the rolling stock at marshaling yards using a neural network. Methods for processing images from several cameras, recognizing cuts, creating a fleet model and displaying this model for further display in the Russian Railway information systems have been implemented. The software was developed in the Python 3.6 programming language, using the OpenCV and Torch libraries. Based on the obtained results, a sys-tem for monitoring the track availability of the fleet formation was implemented. A method for neural network training is demonstrated using the example of recognizing cuts of a marshaling yard.

Ontological Support for Harmonization and Integration of Ukrzaliznytsia Information Systems Data

Purpose. The development strategy of Ukrzaliznytsia includes the following areas: integration and standardization of information systems, increasing the truthfulness of data and automating business processes. The integration of railway information systems is possible by ontological means without changing their structure. In this work, the main aim is the analysis of existing transportation ontological developments and determination of approaches to the application of related domains developments to the objectives of Ukrzaliznytsia’s development. Methodology. Ontological developments are systematized according to the type and format of their resources, the level of data integration, and the goals of ontology-based software. Methods of system analysis are used. Findings. The analysis showed that European Union railway transport ontologies are used to integrate infrastructure description data, train timetables, and others. At the same time, insufficient attention is paid to the regulatory support of the transportation process. There are software tools for annotating texts, extracting knowledge from tables and developing ontologies, but they are not used to support the Ukrainian railway transportation process. It has been determined that the actual problem is normative documentation annotation to establish a link between the ontology and the regulation texts. Originality. The basis for achieving the development goals of Ukrzaliznytsia by ontological means was laid, using the analysis and systematization of existing ontological developments of transport and related domains. The possibilities of using ontological means in railway transport are scientifically substantiated for: formalization of regulatory support; data transformations; data integration; checking the consistency of information systems data and regulations. Practical value. The work made it possible to identify the most significant ontological projects in transport. The foundations for the implementation of the conceptualization of the tabular representation of knowledge and the development of an ontology for the integration of models of railway subsystems have been laid.

Ontology-Based Semantic Checking of Data in Railway Infrastructure Information Systems

Abstract Semantic checking of railway infrastructure information support data is one of the ways to improve the consistency of information system data and, as a result, increase the safety of train traffic. Existing ontological developments have demonstrated the applicability of description logic for modelling railway transport, but have not paid enough attention to the data resources structure and the railway regulatory support. In this work, the formalization of the tabular presentation of data and the rules of railway transport regulations is carried out using the example of a connection track passport and temporary speed restrictions using ontological means, data wrangling and extraction tools. Ontologies of the various formats data resources and railway station infrastructure, tools for converting and extracting data have been developed. The semantic checking of the compliance of railway information system data with regulatory documents in terms of the connection track passport is carried out on the basis of a multi-level concretization model and integration of ontologies. The mechanisms for implementing the constituent ontologies and their integration are demonstrated by an example. Further research includes ontological checking of natural language normative documents of railway transport.

"Centre for Railway Information Systems (CRIS)-The Automated Railway Management System: A Case Study"

"Centre for Railway Information Systems (CRIS)-The Automated Railway Management System: A Case Study"

Train delay prediction in Tunisian railway through LightGBM model

Train delays are one of the most important problems in the railway systems across the world, which urges the development of predictive analysis-based approaches to estimate it. In fact, with the advanced big data analysis and machine learning tools and technologies, the train delay-prediction systems can process and extract useful information from the large historical train movement data collected by the railway information system. Besides, accurate prediction of train delays can help train dispatchers make decisions through timetable rescheduling and service reliability improving. We propose, in this manuscript, a machine-learning model that captures the relationship between the arrival delay of passenger trains and the various characteristics of the railway system. We also apply, for the first time, lightGBM regressor based on optimal hyper-parameters to predict train delays. To evaluate the introduced model performance, the latter is compared with that of some other widely used existing models. Its R-squared, RMSE and RME were also compared with those of Support Vector Machine, Random Forest, XGBboost and Artificial Neural Network models. Statistical comparison indicates that the LightGBM outperforms the other models and is the fastest.

Railway wagon flow routing locus pattern intelligent recognition algorithm based on SST

Purpose The operating wagon records were produced from distinct railway information systems, which resulted in the wagon routing record with the same oriental destination (OD) was different. This phenomenon has brought considerable difficulties to the railway wagon flow forecast. Some were because of poor data quality, which misled the actual prediction, while others were because of the existence of another actual wagon routings. This paper aims at finding all the wagon routing locus patterns from the history records, and thus puts forward an intelligent recognition method for the actual routing locus pattern of railway wagon flow based on SST algorithm. Design/methodology/approach Based on the big data of railway wagon flow records, the routing metadata model is constructed, and the historical data and real-time data are fused to improve the reliability of the path forecast results in the work of railway wagon flow forecast. Based on the division of spatial characteristics and the reduction of dimension in the distributary station, the improved Simhash algorithm is used to calculate the routing fingerprint. Combined with Squared Error Adjacency Matrix Clustering algorithm and Tarjan algorithm, the fingerprint similarity is calculated, the spatial characteristics are clustering and identified, the routing locus mode is formed and then the intelligent recognition of the actual wagon flow routing locus is realized. Findings This paper puts forward a more realistic method of railway wagon routing pattern recognition algorithm. The problem of traditional railway wagon routing planning is converted into the routing locus pattern recognition problem, and the wagon routing pattern of all OD streams is excavated from the historical data results. The analysis is carried out from three aspects: routing metadata, routing locus fingerprint and routing locus pattern. Then, the intelligent recognition SST-based algorithm of railway wagon routing locus pattern is proposed, which combines the history data and instant data to improve the reliability of the wagon routing selection result. Finally, railway wagon routing locus could be found out accurately, and the case study tests the validity of the algorithm. Practical implications Before the forecasting work of railway wagon flow, it needs to know how many kinds of wagon routing locus exist in a certain OD. Mining all the OD routing locus patterns from the railway wagon operating records is helpful to forecast the future routing combined with the wagon characteristics. The work of this paper is the basis of the railway wagon routing forecast. Originality/value As the basis of the railway wagon routing forecast, this research not only improves the accuracy and efficiency for the railway wagon routing forecast but also provides the further support of decision-making for the railway freight transportation organization.

Research and Development of Accounting Management Information System for Railway Enterprise’s Fixed Assets

In order to deepen the whole-course management of fixed assets accounting of railway enterprises and promote the optimal allocation of enterprise resources, it is particularly necessary to establish a whole-course management system of fixed assets accounting for railway enterprises. Aiming at the problems exposed in the application of fixed assets accounting and management in railway enterprises, this paper investigates and summarizes the needs of enterprises, and puts forward the design scheme of railway enterprises fixed assets accounting and management information system. In this paper, based on the concept of the whole process of fixed assets management accounting of railway enterprise, promote the optimized allocation of enterprise resources, the use of computer network and information technology, through the optimization of business processes control mechanism, establish a data set, design a whole process of fixed assets of the enterprise railway management information system, solve the problem of application in the accounting of fixed assets management in railway enterprises. The multilevel network of railway enterprise management department is realized to meet the fine management requirements of different management levels.

Design and Development of Comprehensive Railway Information and Communication Systems

Successful operation of the railways as a large technological system is directly related to the reliable and timely transmission of data and information. Therefore, the role of the information and communication system (ICS) has irreplaceable importance for operation and functioning of the railways. Considering that the railway modernization represents an uninterrupted process, it is necessary to ensure constant technical and technological development and application of the latest achievements in the field of information and communication systems. The railway ICS, among other things, provides infrastructure for the automatic control systems, traffic management and control, monitoring and navigation systems, data processing devices, and it also provides support to other subsystems designed for safe and consistent use of the line, as well as efficient management of the modern rail transportation system.

On the development of intelligent railway information and safety systems: an overview of current research

The present article focuses on the research and development planning for innovative railway systems. Within such a general framework, the specific objectives of the research have been defined withi ...

실시간 위치정보 및 운행패턴을 적용한 도시철도 운행정보 시스템 개발

실시간 위치정보 및 운행패턴을 적용한 도시철도 운행정보 시스템 개발

Train Delay Prediction Systems: A Big Data Analytics Perspective

Abstract Current train delay prediction systems do not take advantage of state-of-the-art tools and techniques for handling and extracting useful and actionable information from the large amount of historical train movements data collected by the railway information systems. Instead, they rely on static rules built by experts of the railway infrastructure based on classical univariate statistic. The purpose of this paper is to build a data-driven Train Delay Prediction System (TDPS) for large-scale railway networks which exploits the most recent big data technologies, learning algorithms, and statistical tools. In particular, we propose a fast learning algorithm for Shallow and Deep Extreme Learning Machines that fully exploits the recent in-memory large-scale data processing technologies for predicting train delays. Proposal has been compared with the current state-of-the-art TDPSs. Results on real world data coming from the Italian railway network show that our proposal is able to improve over the current state-of-the-art TDPSs.

지하철 역사 내 WSN 환경구축을 위한 고정 전파범위 기반의 효율적인 AP설치에 관한 연구

도시철도는 많은 사람들이 이용하는 대표적인 대중교통 수단으로 이용객의 안전 및 편의를 위한 다양한 장비들이 지속적으로 설치되어 왔다. 최근에는 IT기술의 발전에 힘입어 무선네트워크 기술과 접목된 여러 센서들을 설치한 후 데이터를 수집하여 이용객에게 편의를 높이고 있다. 도시철도 역사 내에 무선 센터 네트워크 환경을 구축하기 위해서는 센서들의 데이터를 수집할 수 있는 AP의 설치 방법이 중요하다. 그러나 현재 AP의 설치방법은 역사 내를 이동하며 전파 세기를 측정한 후 AP를 설치하는 방법을 사용하고 있다. 효율적인 AP설치는 적은 수의 AP설치만으로 넓은 지역에 설치된 센서들의 데이터를 수집할 수 있으며, 추후 추가적인 센서 설치시 유지보수 비용을 줄일 수 있다. 이를 위해 본 연구에서는 센서들의 설치 위치와 AP의 전파 범위를 기반으로 최적의 AP설치 위치와 개수를 추정할 수 있는 방법을 제안하였다. 그리고 제안된 방법을 이용하여 시뮬레이터를 개발한 후 부산 서면역 도면에 적용하여 WSN을 구축하는 모의실험을 수행하였다. 개발된 시뮬레이터는 향후 도시철도 환경에 WSN을 구축하는데 유용한 자료로 활용될 수 있을 것으로 기대된다. IT and communication technologies has contributed significantly to the convenience of passengers and the financial management of stations in accordance with the task automation in the field of the urban railway system. The foundation of the above development is based on the large amounts of data from various sensors installed in railways, trains, and stations. In particular, the sensor network that is installed in the station and train has played an important role in the railway information system. The performance of AP is affected by the number of APs and their locations installed in the station. In the installation of APs in stations, the intensity of the radio wave of the AP on its underlying position is considered to determine the number and position of APs. This paper proposes a method to estimate the number of APs and their position based on the structure of the underlying station and implemented a simulator to simulate the performance of the proposed method. The implemented simulator was applied to the decision of AP installation at Busan Seomyeon station to evaluate its performance.

Research on Building China Modern Railway Logistics System Platform Based on IoT

With the railway freight organization reform, the development of China railway to the modern logistics industry becomes an inevitable trend. Nowadays, there is an existing railway freight information system, but the content is limited to the traditional transportation industry. Therefore, applying IoT to establish a modern railway logistics system platform should be considered. In the long run, the system platform will greatly benefit to the development of China railway industry.

Study on Optimal Intercity Railway Transfer Scheme

Intercity railway passengers often have to transfer as no though train between their origin and destination. To choose the optimal transfer scheme is not easy to them. In this article, the transfer waiting time and the total journey time are considered as influencing factors. Based on the statistical expectation of these factors, the transfer weight function is defined and used to find the optimal scheme. This function can be used in developing railway information system.

Evaluation Studies on Client Satisfaction Degree of Railway Statistic Information System

To increase the accuracy and the efficacy of client satisfaction degree of railway statistic information system, we give an AHP-based comprehensive assessment about satisfaction degree of information system, hoping to solve problems about evaluation difficulties of multi-index, multi-criteria and multi-level. Since the conventional AHP-based method is affected by subjective factors, we develop an enhanced AHP method to decrease limitations of conventional methods. Our method, still based on expert scoring, perform cluster analysis of scoring data, apply the clustering method of Euclid Distance with Weight to eliminate scores with the largest divergence, and utilize the AHP method and Function of Weight Average to obtain weight of evaluation index, which is useful to improve the accuracy and efficacy and can enhance effects of the more pivotal evaluation index on results. Finally, we prove its rationality and reliability in an evaluation of client satisfaction degree of railway statistic information system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3409

Development and Application of the Railway Transportation Management Information System

The railway transportation management information system regards the control and management of metallurgical enterprise railway transportation as the object, integrates railway signaling computer interlocking, railway transportation dispatching jobs plan, railway logistics tracking management information and other systems, applys the advanced technology of railway transportation informatization management system, to realize remote control of railway signaling in plant, train management, current car management, locomotive management, statistics management, etc. The system realizes the centralized management and control of railway transportation, meets the requirements of production organization and improve the transportation efficiency.

The Design of Railway Information System Integration Based on IOT

When IOT applies in practice, the domain of railway is the most promising field. Through elaborating the essence of railway information sharing, combining Internet of Things (IOT) technology characteristics in railway transport system, this paper analyzed the integrated process. It designs railway information systemintegration scheme based on IOT in term of realizing railway informationsharing, so as to provide the theoretical and technical support for therealization of railway business and system information sharing and collaborative.

Research and Application of Railway Logistics Information Sharing System Based on SOA

In the last years,Railway Logistics Information Systems obtained apparent progress in China.The effective operation of railway logistics enterprise greatly depends on its advanced Information System,in which the information sharing technology became an important part of the Logistics Information System.It had important guiding significance to achieve information sharing,which was based on Service Oriented Architecture(SOA).This paper investigated the Railway Logistics Enterprise Information System,combined with characteristics of China's Railway Information System,and based on SOA to implement information sharing for Railway Logistics Information System,provided reference to railway logistics information development in the future.

Research and Design of Railway Emergency Rescue Command System Based on Interoperation

Development of the railway information and intelligent systems has been progressing greatly but in isolation, research on interoperation with information system would solve existing problems in informatization of railway. Through research of construction status of railway information system in china and requirements analysis of interoperability system, we design and build the railway emergency rescue command system and give the hierarchical structure and logical structure of the system.