{"id":"https://openalex.org/W4308080619","doi":"https://doi.org/10.1109/itsc55140.2022.9922569","title":"A Robust Optimization Approach for Trains Schedule Problem under Uncertain Maintenance Plans","display_name":"A Robust Optimization Approach for Trains Schedule Problem under Uncertain Maintenance Plans","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4308080619","doi":"https://doi.org/10.1109/itsc55140.2022.9922569"},"language":"en","primary_location":{"id":"doi:10.1109/itsc55140.2022.9922569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922569","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5088103713","display_name":"Hangyu Ji","orcid":"https://orcid.org/0000-0002-3956-7384"},"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":"Hangyu Ji","raw_affiliation_strings":["National Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University,Beijing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606498","display_name":"Jiateng Yin","orcid":"https://orcid.org/0000-0002-2725-3919"},"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":"Jiateng Yin","raw_affiliation_strings":["Beijing Jiaotong University,State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100601127","display_name":"Lin Ma","orcid":"https://orcid.org/0000-0002-1815-6201"},"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":"Lin Ma","raw_affiliation_strings":["National Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University,Beijing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2246","last_page":"2251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9998000264167786,"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":0.9998000264167786,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9987999796867371,"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/T11223","display_name":"Maritime Ports and Logistics","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.9421624541282654},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.7797330617904663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7311262488365173},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5700417757034302},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4970531761646271},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.4796624481678009},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4487454295158386},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38272324204444885},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1507970690727234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07110592722892761}],"concepts":[{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.9421624541282654},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.7797330617904663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311262488365173},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5700417757034302},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4970531761646271},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.4796624481678009},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4487454295158386},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38272324204444885},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1507970690727234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07110592722892761},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc55140.2022.9922569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922569","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5359551211","display_name":null,"funder_award_id":"61790573,61790570,71901016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7475956255","display_name":null,"funder_award_id":"RCS2020ZZ004","funder_id":"https://openalex.org/F4320323067","funder_display_name":"State Key Laboratory of Rail Traffic Control and Safety"},{"id":"https://openalex.org/G7843484774","display_name":null,"funder_award_id":"4222051,L191015","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320323067","display_name":"State Key Laboratory of Rail Traffic Control and Safety","ror":"https://ror.org/01yj56c84"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2002520482","https://openalex.org/W2116951343","https://openalex.org/W2164521075","https://openalex.org/W2210587444","https://openalex.org/W2560631488","https://openalex.org/W2572226844","https://openalex.org/W2766282873","https://openalex.org/W2772486537","https://openalex.org/W2886061500","https://openalex.org/W2889793362","https://openalex.org/W2913275728","https://openalex.org/W3005925337","https://openalex.org/W3125967734","https://openalex.org/W3135864150","https://openalex.org/W3201699363","https://openalex.org/W3216434250","https://openalex.org/W4206694219"],"related_works":["https://openalex.org/W207835341","https://openalex.org/W1519845812","https://openalex.org/W3166882358","https://openalex.org/W4313389879","https://openalex.org/W2137599888","https://openalex.org/W1999534990","https://openalex.org/W2049708287","https://openalex.org/W2123148688","https://openalex.org/W2509159548","https://openalex.org/W3012171900"],"abstract_inverted_index":{"In":[0,92],"high-speed":[1,35,136],"railways,":[2],"the":[3,11,27,39,64,71,75,78,88,93,98,109,115,125,134,143],"sunset-departure":[4],"and":[5,77,114],"sunrise-arrival":[6],"trains":[7],"(SDSA-trains)":[8],"have":[9],"become":[10],"primary":[12],"choice":[13],"of":[14,20,29,41,117,145],"many":[15],"inter-city":[16],"travelers.":[17],"However,":[18],"optimization":[19],"SDSA-trains":[21],"is":[22,139],"very":[23],"challenging":[24],"due":[25],"to":[26,54,69,101,141],"consideration":[28],"regular":[30],"maintenance":[31,42,99],"at":[32,81],"night":[33],"in":[34,44,63],"railways.":[36],"By":[37],"considering":[38],"disturbances":[40,100],"activities":[43],"real-world,":[45],"this":[46],"paper":[47],"proposes":[48],"a":[49,56,103,129],"two-stage":[50],"stochastic":[51],"programming":[52],"model":[53],"optimize":[55],"robust":[57,104],"train":[58,105,112],"scheduling":[59],"for":[60,84,124],"SDSA-trains.":[61],"Specifically,":[62],"first":[65],"stage,":[66,95],"we":[67,96],"aim":[68],"decide":[70],"departure":[72],"time":[73,80],"from":[74],"origin":[76],"arrival":[79,90],"destination":[82],"station":[83],"SDSA-trains,":[85],"while":[86],"minimizing":[87],"total":[89],"time.":[91],"second":[94],"consider":[97],"generate":[102],"schedule":[106],"by":[107],"adjusting":[108],"stop":[110],"patterns,":[111],"orders,":[113],"assignment":[116],"tracks.":[118],"Some":[119],"linearization":[120],"techniques":[121],"are":[122],"used":[123],"nonlinear":[126],"constraints.":[127],"Finally,":[128],"real-world":[130],"instance":[131],"based":[132],"on":[133],"Beijing-Guangzhou":[135],"railway":[137],"corridors":[138],"conducted":[140],"show":[142],"effectiveness":[144],"our":[146],"approach.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
