{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:25:11Z","timestamp":1740101111666,"version":"3.37.3"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,28]],"date-time":"2022-05-28T00:00:00Z","timestamp":1653696000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,28]],"date-time":"2022-05-28T00:00:00Z","timestamp":1653696000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,28]]},"DOI":"10.1109\/iscas48785.2022.9937566","type":"proceedings-article","created":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T20:38:08Z","timestamp":1668199088000},"page":"2373-2377","source":"Crossref","is-referenced-by-count":0,"title":["Delay propagation for a High-speed Railway Network with the Consideration of Primary Delay Derivation"],"prefix":"10.1109","author":[{"given":"Wenbo","family":"Lian","sequence":"first","affiliation":[{"name":"Beijing Jiaotong University,the State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044"}]},{"given":"Xingtang","family":"Wu","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University,the State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044"}]},{"given":"Min","family":"Zhou","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University,the State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044"}]},{"given":"Qinpei","family":"Duan","sequence":"additional","affiliation":[{"name":"China Railway Beijing Bureau Group Co., Ltd,Department of Dispatch,Beijing,China,100038"}]},{"given":"Hairong","family":"Dong","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University,the State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2006.02.005"},{"key":"ref11","article-title":"Modeling train delays in urban networks","author":"schwanh\u00a8au\u00dfer","year":"2008","journal-title":"Transportation institude of German"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2016.07.015"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.tre.2015.05.009","article-title":"Modeling cascade dynamics of railway networks under inclement weather","volume":"80","author":"da","year":"2015","journal-title":"Transportation Research Part E"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2006.02.003"},{"key":"ref15","first-page":"12","article-title":"Stochastic modeling of delay propagation in large networks","volume":"4","author":"seybold","year":"2021","journal-title":"Journal of Rail Transport Planning & Management"},{"key":"ref4","first-page":"31","article-title":"The Overview of the High-Speed Railway Transport Organization in Emergency","author":"jia","year":"2020","journal-title":"High-Speed Railway Operation Under Emergent Conditions"},{"key":"ref3","first-page":"82","article-title":"Collaborative real-time optimization strategy for train rescheduling and track emergency maintenance of high-speed railway: A Lagrangian relaxation-based decomposition algorithm","volume":"28","author":"ha","year":"2021","journal-title":"Omega"},{"key":"ref6","first-page":"234","article-title":"A deep learning approach for multi-attribute data: A study of train delay prediction in railway systems","volume":"5","author":"huang","year":"2021","journal-title":"Information Sciences"},{"key":"ref5","first-page":"22","article-title":"Intelligent prediction of train delay changes and propagation using rvflns with improved transfer learning and ensemble learning","volume":"12","author":"ping","year":"2021","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.2020.0979"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2020.102022"},{"key":"ref2","first-page":"121","article-title":"Transportation infrastructure and entrepreneurship: Evidence from high-speed railway in China","volume":"18","author":"li","year":"2021","journal-title":"China Economic Review"},{"key":"ref1","first-page":"8","article-title":"Innovation and development of high-speed railway in China","volume":"10","author":"wan","year":"2010","journal-title":"Electric drive for locomotives"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2010.01.002"}],"event":{"name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","start":{"date-parts":[[2022,5,27]]},"location":"Austin, TX, USA","end":{"date-parts":[[2022,6,1]]}},"container-title":["2022 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9937201\/9937203\/09937566.pdf?arnumber=9937566","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T20:23:31Z","timestamp":1669667011000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9937566\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,28]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/iscas48785.2022.9937566","relation":{},"subject":[],"published":{"date-parts":[[2022,5,28]]}}}