{"title":"自主列车控制系统原理:完全以列车为中心的路线生成和轨道资源管理","authors":"Sehchan Oh, Kyungran Kang, Young-Jong Cho","doi":"10.1049/itr2.70072","DOIUrl":null,"url":null,"abstract":"<p>The current moving block systems still depend on wayside interlocking systems and zone controllers, resulting in complex control flow and limited control efficiency. While recent train-centric solutions have simplified the system and enhanced line capacity, they still require explicit resource requests from the wayside infrastructure controller and necessitate storing all routes in onboard equipment. These limitations constrain system performance and maintainability. This study introduces an autonomous train control principle for fully train-centric route generation and track resource management, eliminating reliance on wayside controllers. The proposed system models track layouts as directed graphs and generates routes through route factorisation and composition, ensuring compliance with railway safety and operational requirements. By utilising train-to-train coordinate transformations, ATCS enables direct management of track resources between trains without intermediaries, significantly improving the system's performance. Furthermore, a novel braking model is introduced, optimising headway distances and improving track utilisation. The proposed principle is evaluated on an actual railway track layout in Korea, and the results demonstrate its feasibility, achieving shorter headways, improved track capacity, and enhanced system maintainability and flexibility when compared to conventional CBTC and train-centric CBTC systems.</p>","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.70072","citationCount":"0","resultStr":"{\"title\":\"Autonomous Train Control System Principle: Fully Train-Centric Route Generation and Track Resource Management\",\"authors\":\"Sehchan Oh, Kyungran Kang, Young-Jong Cho\",\"doi\":\"10.1049/itr2.70072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The current moving block systems still depend on wayside interlocking systems and zone controllers, resulting in complex control flow and limited control efficiency. While recent train-centric solutions have simplified the system and enhanced line capacity, they still require explicit resource requests from the wayside infrastructure controller and necessitate storing all routes in onboard equipment. These limitations constrain system performance and maintainability. This study introduces an autonomous train control principle for fully train-centric route generation and track resource management, eliminating reliance on wayside controllers. The proposed system models track layouts as directed graphs and generates routes through route factorisation and composition, ensuring compliance with railway safety and operational requirements. By utilising train-to-train coordinate transformations, ATCS enables direct management of track resources between trains without intermediaries, significantly improving the system's performance. Furthermore, a novel braking model is introduced, optimising headway distances and improving track utilisation. The proposed principle is evaluated on an actual railway track layout in Korea, and the results demonstrate its feasibility, achieving shorter headways, improved track capacity, and enhanced system maintainability and flexibility when compared to conventional CBTC and train-centric CBTC systems.</p>\",\"PeriodicalId\":50381,\"journal\":{\"name\":\"IET Intelligent Transport Systems\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.70072\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Intelligent Transport Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/itr2.70072\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Intelligent Transport Systems","FirstCategoryId":"5","ListUrlMain":"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/itr2.70072","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Autonomous Train Control System Principle: Fully Train-Centric Route Generation and Track Resource Management
The current moving block systems still depend on wayside interlocking systems and zone controllers, resulting in complex control flow and limited control efficiency. While recent train-centric solutions have simplified the system and enhanced line capacity, they still require explicit resource requests from the wayside infrastructure controller and necessitate storing all routes in onboard equipment. These limitations constrain system performance and maintainability. This study introduces an autonomous train control principle for fully train-centric route generation and track resource management, eliminating reliance on wayside controllers. The proposed system models track layouts as directed graphs and generates routes through route factorisation and composition, ensuring compliance with railway safety and operational requirements. By utilising train-to-train coordinate transformations, ATCS enables direct management of track resources between trains without intermediaries, significantly improving the system's performance. Furthermore, a novel braking model is introduced, optimising headway distances and improving track utilisation. The proposed principle is evaluated on an actual railway track layout in Korea, and the results demonstrate its feasibility, achieving shorter headways, improved track capacity, and enhanced system maintainability and flexibility when compared to conventional CBTC and train-centric CBTC systems.
期刊介绍:
IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following:
Sustainable traffic solutions
Deployments with enabling technologies
Pervasive monitoring
Applications; demonstrations and evaluation
Economic and behavioural analyses of ITS services and scenario
Data Integration and analytics
Information collection and processing; image processing applications in ITS
ITS aspects of electric vehicles
Autonomous vehicles; connected vehicle systems;
In-vehicle ITS, safety and vulnerable road user aspects
Mobility as a service systems
Traffic management and control
Public transport systems technologies
Fleet and public transport logistics
Emergency and incident management
Demand management and electronic payment systems
Traffic related air pollution management
Policy and institutional issues
Interoperability, standards and architectures
Funding scenarios
Enforcement
Human machine interaction
Education, training and outreach
Current Special Issue Call for papers:
Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf
Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf
Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf