{"id":"https://openalex.org/W1988381049","doi":"https://doi.org/10.1109/tits.2014.2303146","title":"A Two-Objective Timetable Optimization Model in Subway Systems","display_name":"A Two-Objective Timetable Optimization Model in Subway Systems","publication_year":2014,"publication_date":"2014-02-19","ids":{"openalex":"https://openalex.org/W1988381049","doi":"https://doi.org/10.1109/tits.2014.2303146","mag":"1988381049"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2014.2303146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2014.2303146","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/A5115587895","display_name":"Xin Yang","orcid":"https://orcid.org/0009-0009-8634-3760"},"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":"Xin Yang","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","State Key Lab of Rail Traffic Control & Safety, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Lab of Rail Traffic Control & Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051745709","display_name":"Bin Ning","orcid":"https://orcid.org/0000-0003-4822-716X"},"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":"Bin Ning","raw_affiliation_strings":["School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China","School of Electronics and Information Engineering Beijing Jiaotong University Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Electronics and Information Engineering Beijing Jiaotong University Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015227261","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-2694-1250"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["School of Economics and Management, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067908158","display_name":"Tao Tang","orcid":"https://orcid.org/0000-0001-7838-8525"},"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":"Tao Tang","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","State Key Lab of Rail Traffic Control & Safety, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Lab of Rail Traffic Control & Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":20.8235,"has_fulltext":false,"cited_by_count":199,"citation_normalized_percentile":{"value":0.99529135,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"15","issue":"5","first_page":"1913","last_page":"1921"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9993000030517578,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9943000078201294,"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/train","display_name":"Train","score":0.7920036315917969},{"id":"https://openalex.org/keywords/headway","display_name":"Headway","score":0.7860955595970154},{"id":"https://openalex.org/keywords/dwell-time","display_name":"Dwell time","score":0.6612767577171326},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.5888787508010864},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5333976745605469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4921368956565857},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.49184608459472656},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.48383989930152893},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42984580993652344},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.42093753814697266},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3835865259170532},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3543975055217743},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.30258607864379883},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12523022294044495},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.0972924530506134}],"concepts":[{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.7920036315917969},{"id":"https://openalex.org/C2779240695","wikidata":"https://www.wikidata.org/wiki/Q4383682","display_name":"Headway","level":2,"score":0.7860955595970154},{"id":"https://openalex.org/C151637689","wikidata":"https://www.wikidata.org/wiki/Q5318064","display_name":"Dwell time","level":2,"score":0.6612767577171326},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.5888787508010864},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5333976745605469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4921368956565857},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.49184608459472656},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.48383989930152893},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42984580993652344},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.42093753814697266},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3835865259170532},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3543975055217743},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.30258607864379883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12523022294044495},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0972924530506134},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2014.2303146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2014.2303146","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":0.8899999856948853,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2151924244","display_name":"\u57fa\u4e8e\u968f\u673a\u4f18\u5316\u7406\u8bba\u7684\u5217\u8f66\u8282\u80fd\u64cd\u7eb5\u95ee\u9898\u7814\u7a76","funder_award_id":"71101007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3365108659","display_name":null,"funder_award_id":"2013YJS004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5705410426","display_name":null,"funder_award_id":"71371027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7310798073","display_name":null,"funder_award_id":"NCET-13-0649","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G7884733804","display_name":null,"funder_award_id":"2012CB725401","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1507866238","https://openalex.org/W1968661007","https://openalex.org/W1978710427","https://openalex.org/W1982642615","https://openalex.org/W1985797279","https://openalex.org/W1992679414","https://openalex.org/W2007320090","https://openalex.org/W2009767457","https://openalex.org/W2018577633","https://openalex.org/W2035152756","https://openalex.org/W2074229811","https://openalex.org/W2077069532","https://openalex.org/W2090786169","https://openalex.org/W2092495350","https://openalex.org/W2093091988","https://openalex.org/W2094138214","https://openalex.org/W2095383966","https://openalex.org/W2099239187","https://openalex.org/W2100481961","https://openalex.org/W2105806740","https://openalex.org/W2106743447","https://openalex.org/W2109879495","https://openalex.org/W2113795504","https://openalex.org/W2113841111","https://openalex.org/W2114444532","https://openalex.org/W2123994222","https://openalex.org/W2132890250","https://openalex.org/W2137264502","https://openalex.org/W2153977267","https://openalex.org/W2164732484","https://openalex.org/W2166612117","https://openalex.org/W2166674700","https://openalex.org/W2171101657","https://openalex.org/W2171608421","https://openalex.org/W3040865615","https://openalex.org/W7036327985"],"related_works":["https://openalex.org/W2897407000","https://openalex.org/W2048320925","https://openalex.org/W4402155500","https://openalex.org/W2355622298","https://openalex.org/W2150962269","https://openalex.org/W2021019644","https://openalex.org/W3087384592","https://openalex.org/W906275019","https://openalex.org/W2913215250","https://openalex.org/W4307565716"],"abstract_inverted_index":{"The":[0,115],"train":[1],"timetable":[2,50],"optimization":[3,51],"problem":[4],"in":[5,134],"subway":[6,111],"systems":[7],"is":[8],"to":[9,53,62,92],"determine":[10],"arrival":[11],"and":[12,27,38,79,127],"departure":[13],"times":[14],"for":[15],"trains":[16,29],"at":[17],"stations":[18],"so":[19],"that":[20,118],"the":[21,28,35,39,55,64,94,104,108,119,137],"resources":[22],"can":[23,30,122],"be":[24,31],"effectively":[25],"utilized":[26],"efficiently":[32],"operated.":[33],"Because":[34],"energy":[36,59,124],"saving":[37],"service":[40],"quality":[41],"are":[42],"paid":[43],"more":[44],"attention,":[45],"this":[46],"paper":[47],"proposes":[48],"a":[49,71,86],"model":[52,75,121],"increase":[54],"utilization":[56],"of":[57,113],"regenerative":[58],"and,":[60],"simultaneously,":[61],"shorten":[63],"passenger":[65,129],"waiting":[66,130],"time.":[67],"First,":[68],"we":[69,84,98],"formulate":[70],"two-objective":[72],"integer":[73],"programming":[74],"with":[76,89,136],"headway":[77],"time":[78,81,131],"dwell":[80],"control.":[82],"Second,":[83],"design":[85],"genetic":[87],"algorithm":[88],"binary":[90],"encoding":[91],"find":[93],"optimal":[95],"solution.":[96],"Finally,":[97],"conduct":[99],"numerical":[100],"examples":[101],"based":[102],"on":[103],"operation":[105],"data":[106],"from":[107],"Beijing":[109],"Yizhuang":[110],"line":[112],"China.":[114],"results":[116],"illustrate":[117],"proposed":[120],"save":[123],"by":[125,132],"8.86%":[126],"reduce":[128],"3.22%":[133],"comparison":[135],"current":[138],"timetable.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":30},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":7}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}