{"id":"https://openalex.org/W3114782406","doi":"https://doi.org/10.1109/tits.2020.3044442","title":"High-Speed Train Platoon Dynamic Interval Optimization Based on Resilience Adjustment Strategy","display_name":"High-Speed Train Platoon Dynamic Interval Optimization Based on Resilience Adjustment Strategy","publication_year":2020,"publication_date":"2020-12-22","ids":{"openalex":"https://openalex.org/W3114782406","doi":"https://doi.org/10.1109/tits.2020.3044442","mag":"3114782406"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.3044442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3044442","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5002672308","display_name":"Wei Shangguan","orcid":"https://orcid.org/0000-0003-2901-0782"},"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":"Wei Shangguan","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, Beijing Jiaotong University, Beijing, China","School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2901-0782","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101474880","display_name":"Rui Luo","orcid":"https://orcid.org/0000-0003-3547-9325"},"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":"Rui Luo","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048655383","display_name":"Hongyu Song","orcid":"https://orcid.org/0000-0002-8863-1848"},"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":"Hongyu Song","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103089871","display_name":"Jing Sun","orcid":"https://orcid.org/0000-0003-3534-9205"},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Sun","raw_affiliation_strings":["Information sector and Railway Freight System Business Group, China Academy of Railway Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information sector and Railway Freight System Business Group, China Academy of Railway Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210141966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3272,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92279626,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"5","first_page":"4402","last_page":"4414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9994999766349792,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/platoon","display_name":"Platoon","score":0.885704517364502},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.7645004987716675},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.6870756149291992},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5245254635810852},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.5066776871681213},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.44812294840812683},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4299378991127014},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4214848577976227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38684895634651184},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3643379509449005},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3310468792915344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1125028133392334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10353600978851318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0907524824142456}],"concepts":[{"id":"https://openalex.org/C2777735972","wikidata":"https://www.wikidata.org/wiki/Q1061967","display_name":"Platoon","level":3,"score":0.885704517364502},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.7645004987716675},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.6870756149291992},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5245254635810852},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.5066776871681213},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.44812294840812683},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4299378991127014},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4214848577976227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38684895634651184},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3643379509449005},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3310468792915344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1125028133392334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10353600978851318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0907524824142456},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2020.3044442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3044442","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G3414767589","display_name":null,"funder_award_id":"61773049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6464014426","display_name":null,"funder_award_id":"L191013","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W92438854","https://openalex.org/W1482707787","https://openalex.org/W1853647952","https://openalex.org/W2027023292","https://openalex.org/W2028918699","https://openalex.org/W2033499339","https://openalex.org/W2054273777","https://openalex.org/W2058774661","https://openalex.org/W2061116657","https://openalex.org/W2064168989","https://openalex.org/W2070474574","https://openalex.org/W2072955302","https://openalex.org/W2073991389","https://openalex.org/W2087025933","https://openalex.org/W2115359500","https://openalex.org/W2133821486","https://openalex.org/W2150962269","https://openalex.org/W2152195021","https://openalex.org/W2256538746","https://openalex.org/W2290790707","https://openalex.org/W2316210808","https://openalex.org/W2317200107","https://openalex.org/W2322492622","https://openalex.org/W2344528945","https://openalex.org/W2355240721","https://openalex.org/W2355471624","https://openalex.org/W2619089354","https://openalex.org/W2724739153","https://openalex.org/W2799147922","https://openalex.org/W2809565161","https://openalex.org/W2896534548","https://openalex.org/W2901468426","https://openalex.org/W3144723597","https://openalex.org/W6603835682"],"related_works":["https://openalex.org/W4286572054","https://openalex.org/W3171462553","https://openalex.org/W2555207388","https://openalex.org/W2983996496","https://openalex.org/W3189590538","https://openalex.org/W4389240635","https://openalex.org/W2461853023","https://openalex.org/W2136133395","https://openalex.org/W2935722734","https://openalex.org/W3102129050"],"abstract_inverted_index":{"Resilience":[0],"adjustment":[1,60,91],"refers":[2],"to":[3,95,106,136],"the":[4,12,20,29,36,42,64,69,78,83,97,102,112,120,138,150,168,176],"generation":[5],"of":[6,19],"a":[7,56,129],"control":[8],"strategy":[9,61,73,105,124],"by":[10,76,173],"evaluating":[11],"interaction":[13],"between":[14,122,152],"related":[15],"factors.":[16],"Tracking":[17],"intervals":[18,141],"high-speed":[21,162],"train":[22,37],"platoon":[23],"change":[24],"dynamically,":[25],"which":[26],"directly":[27],"influences":[28],"operation":[30,38,72,108,123,170,177],"safety":[31,50,178],"and":[32,34,51,100,125,128,142,156,175],"efficiency,":[33,53],"constrains":[35],"trajectories.":[39],"In":[40],"China,":[41],"tracking":[43,98,114],"interval":[44,58,99,115],"is":[45,74,93,134],"getting":[46],"shorter.":[47],"To":[48],"ensure":[49],"improve":[52],"we":[54,118],"research":[55],"dynamic":[57],"resilience":[59,90,113],"based":[62,110,148],"on":[63,111,149],"moving":[65],"block":[66],"system.":[67],"Firstly,":[68],"optimal":[70,139],"offline":[71],"obtained":[75],"solving":[77],"multi-objective":[79],"optimization":[80,131],"model":[81],"with":[82],"improved":[84],"gravitational":[85],"search":[86],"algorithm":[87,132],"(I-GSA).":[88],"The":[89,164],"mechanism":[92],"developed":[94],"evaluate":[96],"choose":[101],"appropriate":[103],"driving":[104,143],"adjust":[107],"states":[109],"model.":[116],"Then,":[117],"study":[119],"relation":[121],"departure":[126,140],"interval,":[127],"seeker":[130],"(SOA)":[133],"used":[135],"obtain":[137],"strategies.":[144],"Simulations":[145],"are":[146],"conducted":[147],"sections":[151],"Chibi":[153],"North":[154],"station":[155,159],"Changsha":[157],"South":[158],"in":[160],"Wuhan-Guangzhou":[161],"railway.":[163],"results":[165],"indicate":[166],"that":[167],"total":[169],"time":[171],"decreased":[172],"191s":[174],"can":[179],"be":[180],"ensured":[181],"at":[182],"any":[183],"time.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}