{"id":"https://openalex.org/W4406267541","doi":"https://doi.org/10.1109/icnsc62968.2024.10759986","title":"A Stochastic Reachable Set Based Train Following Safety Protection Method for \u201cSoft-Wall\u201d Moving Block Train Control System","display_name":"A Stochastic Reachable Set Based Train Following Safety Protection Method for \u201cSoft-Wall\u201d Moving Block Train Control System","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4406267541","doi":"https://doi.org/10.1109/icnsc62968.2024.10759986"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc62968.2024.10759986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc62968.2024.10759986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100942801","display_name":"Qianying Ma","orcid":"https://orcid.org/0000-0002-2305-1869"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianying Ma","raw_affiliation_strings":["School of Automation and Intelligence, Beijing Jiaotong University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Intelligence, Beijing Jiaotong University,Beijing,China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101087607","display_name":"Min Yang","orcid":"https://orcid.org/0009-0004-3697-1690"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Yang","raw_affiliation_strings":["School of Automation and Intelligence, Beijing Jiaotong University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Intelligence, Beijing Jiaotong University,Beijing,China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039789791","display_name":"Jidong Lv","orcid":"https://orcid.org/0000-0001-8404-6820"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jidong Lv","raw_affiliation_strings":["Beijing Jiaotong University,National Engineering Research Center of Rail Transportation,Beijing,China","School of Automation and Intelligence, Beijing Jiaotong University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,National Engineering Research Center of Rail Transportation,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Automation and Intelligence, Beijing Jiaotong University,Beijing,China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101835991","display_name":"Hongjie Liu","orcid":"https://orcid.org/0000-0002-0498-1606"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjie Liu","raw_affiliation_strings":["Beijing Jiaotong University,National Engineering Research Center of Rail Transportation,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,National Engineering Research Center of Rail Transportation,Beijing,China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006469045","display_name":"Wanli Lu","orcid":"https://orcid.org/0000-0002-0883-5868"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanli Lu","raw_affiliation_strings":["School of Automation and Intelligence, Beijing Jiaotong University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Intelligence, Beijing Jiaotong University,Beijing,China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090732246","display_name":"Jiahui Lv","orcid":"https://orcid.org/0000-0002-4916-3789"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Lv","raw_affiliation_strings":["Beijing Jiaotong University,National Engineering Research Center of Rail Transportation,Beijing,China","School of Automation and Intelligence, Beijing Jiaotong University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,National Engineering Research Center of Rail Transportation,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Automation and Intelligence, Beijing Jiaotong University,Beijing,China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100942801"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38189655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13601","display_name":"Urban Transport Systems Analysis","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13615","display_name":"Transportation Systems and Safety","score":0.9350000023841858,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6890252828598022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6208519339561462},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5541568994522095},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3910091519355774},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.37169593572616577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3320377469062805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32192718982696533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16980764269828796},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0722929835319519}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6890252828598022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6208519339561462},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5541568994522095},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3910091519355774},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.37169593572616577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3320377469062805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32192718982696533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16980764269828796},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0722929835319519},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc62968.2024.10759986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc62968.2024.10759986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W1982160337","https://openalex.org/W2989452537","https://openalex.org/W1971380437","https://openalex.org/W2052122378"],"abstract_inverted_index":{"Although":[0],"moving":[1],"block":[2],"mode":[3],"\u201chard-wall\u201d":[4],"safety":[5,44,57,84,120,128,175],"protection":[6,45,58,121,176],"principle":[7],"adopted":[8],"by":[9,103,141],"the":[10,19,32,56,73,79,83,88,94,105,110,114,118,127,132,137,143,157,160,168,174,183,187,194],"existing":[11],"urban":[12,133],"rail":[13,134],"train":[14,42,81,90,112,180],"control":[15],"system":[16],"has":[17],"shortened":[18],"following":[20,43,89,115,179,184],"interval":[21,185],"of":[22,78,87,98,109,131,145,173,189,198],"trains":[23],"to":[24,30,66,126],"a":[25,41],"certain":[26],"extent,":[27],"it":[28],"fails":[29],"meet":[31],"operational":[33],"demand":[34],"during":[35],"peak":[36],"hours.":[37],"In":[38],"this":[39,164,199],"paper,":[40],"method":[46,138,161],"based":[47],"on":[48,186],"stochastic":[49],"reachable":[50],"set":[51],"is":[52,101,123,139],"proposed,":[53],"which":[54,192],"upgrades":[55],"criterion":[59],"from":[60],"position":[61],"non-overlapping":[62,68],"in":[63,69,163],"spatial":[64],"dimension":[65],"trajectory":[67,77,86],"space-time":[70],"dimension.":[71],"Firstly,":[72],"whole":[74],"process":[75],"predicted":[76],"preceding":[80,111],"and":[82,113,181,196],"braking":[85],"are":[91],"represented.":[92],"Secondly,":[93],"efficient":[95],"calculation":[96,170],"model":[97],"collision":[99,190],"probability":[100,106],"established":[102],"combining":[104],"distribution":[107],"functions":[108],"train.":[116,135],"Then,":[117],"corresponding":[119],"curve":[122,177],"generated":[124],"according":[125],"verification":[129],"results":[130,152],"Finally,":[136],"verified":[140],"using":[142],"data":[144],"Beijing":[146],"Metro":[147],"Line":[148],"11.":[149],"The":[150],"experimental":[151],"show":[153],"that,":[154],"compared":[155],"with":[156],"short-time":[158],"protection,":[159],"proposed":[162],"paper":[165],"can":[166],"extend":[167],"reverse":[169],"starting":[171],"point":[172],"for":[178],"shorten":[182],"basis":[188],"avoidance,":[191],"proves":[193],"necessity":[195],"applicability":[197],"method.":[200]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}