Building Architecture of Intelligent Control System for Urban Rail Transit System

Author:

Alexeev V. M.1,Baranov L. A.1,Kulagin M. A.2,Sidorenko V. G.1

Affiliation:

1. Russian University of Transport

2. Railway Research Institute

Abstract

The increase in the volume of passenger transportation in megalopolises and large urban agglomerations is efficiently provided by the integration of urban public transit systems and city railways. Traffic management under those conditions requires creating intelligent centralised multi-level traffic control systems that implement the required indicators of quality, comfort, and traffic safety regarding passenger transportation. Besides, modern control systems contribute to traction power saving, are foundation and integral part of the systems of digitalisation of urban transit and the cities. Building systems solving the traffic planning and control tasks is implemented using algorithms based on the methods of artificial intelligence, principles of hierarchically structured centralised systems, opportunities provided by Big Data technology. Under those conditions it is necessary to consider growing requirements towards software as well as theoretical design and practical implementation of network organisation.This article discusses designing architecture and shaping requirements for developed applications and their integration with databases to create a centralised intelligent control system for the urban rail transit system (CICS URTS). The article proposes the original architecture of the network, routing of information flows and software of CICS URTS. The routing design is based on a fully connected network. This allows to significantly increase the network bandwidth and meet the requirements regarding information protection, since information flows are formed based on the same type of protocols, which prevents emergence of covert transmission channels. The implementation of the core using full connectivity allows, according to the tags of information flows, to pre-form the routes for exchange of information between servers and applications deployed in CICS URTS. The use of encrypted tags of information flows makes it much more difficult to carry out attacks and organise collection of information about the network structure.Platforms for development of intelligent control systems (ICS), which include CICS URTS, high computing power, data storage capacity and new frameworks are becoming more available for researchers and developers and allow rapid development of ICS. The article discusses the issues of interaction of applications with databases through a combination of several approaches used in the field of Big Data, substantiates combination of Internet of Things (IoT) methodology and microservice architecture. This combination will make it possible to single out business processes in the system and form streaming data processing requiring operational analysis by a human, which is shown by relevant examples.Thus, the objective of the article is to formalise the principles of organising data exchange between CICS URTS and automated control systems (ACS) of railway companies (in our case, using the example of JSC Russian Railways), URTS services providers, and city government bodies, implement the developed approaches into the architecture of CICS URTS and formalise principles of organisation of microservice architecture of CICS URTS software. The main research methods are graph theory, Big Data and IoT methods.

Publisher

FSBEO HPE Moscow State University of Railway Engineering (MIIT)

Reference37 articles.

1. Vakulenko, S. P., Romensky, D. Yu., Mnatsakanov, V. A., Dorokhov, A. V., Vlasov, D. N. Development of options for modernisation of Moscow monorail transit system [Razrabotka variantov modernizatsii Moskovskoi moorelsovoi transportnoi sistemy]. Metro i tonneli, 2020, Iss. 4, pp. 28–36. [Electronic resource]: https://hutor.info/wp-content/uploads/2020/12/2_5332278966877161853. pdf. Last accessed 14.02.2021.

2. Shevlyugin, M. V., Korolev, A. A., Golitsyna, A. E., Pletnev, D. S. Electric stock digital twin in a subway traction power system. Russian Electrical Engineering, 2019, Vol. 90, Iss. 9, pp. 647–652. DOI: 10.3103/S1068371219090098. Last accessed 14.02.2021.

3. Pavlovsky, A. A., Okhotnikov, A. L. Information transport situation [Informatsionnaya transportnaya situatsiya]. Nauka i tekhnologii zheleznykh dorog, 2018, Vol. 2, Iss. 6, pp. 16–24. [Electronic resource]: http://www.vniias.ru/images/img/online_journal/pdf/02_2018/2_2018.pdf. Last accessed 14.02.2021.

4. Atroshchenko V. A., Rudenko M. V., Dyachenko R. A., Bagdasaryan R. Kh. On the issue of assessing the reliability of information to prevent mitm attacks when transmitting classified information through open communication channels [K voprosu otsenki dostovernosti informatsii dlya predotvrashcheniya mitm-ataki pri peredachi zakrytoi informatsii po otkrytym kanalam svyazi]. Sovremennie problemy nauki i obrazovaniya, 2013, Iss. 3, pp. 82–82. [Electronic resource]: https://science-education.ru/pdf/2013/3/375.pdf. Last accessed 14.02.2021.

5. Sudhir, Udipi. The event data management problem: getting the most from network detection and response. Network Security, January 2021, Vol. 2021, Iss. 1, pр. 12–14. DOI: https://doi.org/10.1016/S1353-4858(21)00008-8.

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Key technologies of automatic operation control logic for urban rail transit comprehensive inspection trainset;Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023);2024-02-20

2. Intelligent Control Method Research for High Rise Building Vibration by Integrating Genetic Algorithm and LSTM;IEEE Access;2024

3. Intelligent Control of Automated Microelectronic Production Lines Based on Artificial Intelligence;2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC);2023-06-16

4. Development of Information Support for Intelligent Control of Urban Rail Transport Systems;Transport automation research;2023-06-13

5. Design of Intelligent Urban Rail Transit Safety Control and Early Warning System Based on Matlab;2023 2nd Asia-Pacific Computer Technologies Conference (APCT);2023-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3