中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Parallel Testing for Centralized Traffic Control Systems of Intelligent Railways

文献类型:期刊论文

作者Xu, Wei4,5; Dai, Xingyuan2,3; Zhao, Chen2,3; Tang, Yiqing2,3; Cheng, Jie2,3; Qu, Zhiyou1; Zhang, Tao4; Lv, Yisheng2,3
刊名IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
出版日期2023-09-01
卷号8期号:9页码:4249-4262
ISSN号2379-8858
关键词Centralized traffic control high-speed railway systems intelligent testing parallel intelligence artificial intelligence railway dispatching systems
DOI10.1109/TIV.2023.3305543
通讯作者Zhang, Tao(tao.zhang@caa.org.cn) ; Lv, Yisheng(Yisheng.lv@ia.ac.cn)
英文摘要The centralized traffic control (CTC) system of intelligent railways plays a vital role in implementing railway dispatching, improving transportation efficiency, and ensuring train safety. However, with the development of high-speed railways (HSRs), the construction of new lines and the upgrading of existing equipment have become increasingly prevalent, posing significant challenges to the safety and reliability of the CTC system. To address these challenges, this article proposes a scenario-driven parallel testing method for the CTC system. We use divisible and combinable scenarios to describe the functionality and processes of testing. Building upon the scenario representation, a virtual-real interactive testing method is adopted, where virtual testing is employed to generate a large number of scenarios simultaneously, thereby accelerating the testing process of the CTC system while ensuring comprehensive testing coverage. Field testing is carried out to validate the reliability of the CTC system in real operational environments, particularly in critical scenarios. The CTC parallel testing system has been deployed in multiple railway bureaus in China, and the deployment results demonstrate that parallel testing can improve testing efficiency, alleviate tester workload, augment the proficiency of on-site construction, and boost the stability and reliability of CTC systems.
WOS关键词TRAIN CONTROL-SYSTEM ; FRAMEWORK ; VEHICLES ; IMPACTS ; VISION
资助项目National Natural Science Foundation of China[61790573] ; National Natural Science Foundation of China[61790575] ; Center of National Railway Intelligent Transportation System Engineering and Technology[RITS2019KF03] ; China Academy of Railway Sciences Corporation Limited. ; China Railway Project[N2019G020] ; China Railway Project[L2022X002] ; Key Project of Science and Technology Research Plan of China Academy of Railway Sciences Group Company Ltd.[2022YJ326]
WOS研究方向Computer Science ; Engineering ; Transportation
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:001098099800009
资助机构National Natural Science Foundation of China ; Center of National Railway Intelligent Transportation System Engineering and Technology ; China Academy of Railway Sciences Corporation Limited. ; China Railway Project ; Key Project of Science and Technology Research Plan of China Academy of Railway Sciences Group Company Ltd.
源URL[http://ir.ia.ac.cn/handle/173211/54484]  
专题多模态人工智能系统全国重点实验室
通讯作者Zhang, Tao; Lv, Yisheng
作者单位1.North Automat Control Technol Inst, Taiyuan 030006, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
4.China Acad Railway Sci, Signal & Commun Res Inst, Beijing 100081, Peoples R China
5.Macau Univ Sci & Technol, Fac Innovat Engn, Taipa 999078, Macau, Peoples R China
推荐引用方式
GB/T 7714
Xu, Wei,Dai, Xingyuan,Zhao, Chen,et al. Parallel Testing for Centralized Traffic Control Systems of Intelligent Railways[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2023,8(9):4249-4262.
APA Xu, Wei.,Dai, Xingyuan.,Zhao, Chen.,Tang, Yiqing.,Cheng, Jie.,...&Lv, Yisheng.(2023).Parallel Testing for Centralized Traffic Control Systems of Intelligent Railways.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,8(9),4249-4262.
MLA Xu, Wei,et al."Parallel Testing for Centralized Traffic Control Systems of Intelligent Railways".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 8.9(2023):4249-4262.

入库方式: OAI收割

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