{"id":"https://openalex.org/W2925711528","doi":"https://doi.org/10.1109/access.2019.2906361","title":"Timetable Coordination of the First Trains for Subway Network With Maximum Passenger Perceived Transfer Quality","display_name":"Timetable Coordination of the First Trains for Subway Network With Maximum Passenger Perceived Transfer Quality","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2925711528","doi":"https://doi.org/10.1109/access.2019.2906361","mag":"2925711528"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2906361","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2906361","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08675919.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08675919.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100660375","display_name":"Xuan Li","orcid":"https://orcid.org/0000-0003-2688-082X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xuan Li","raw_affiliation_strings":["Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017466630","display_name":"Lili Lu","orcid":"https://orcid.org/0000-0002-1937-3574"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lili Lu","raw_affiliation_strings":["Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086235934","display_name":"Pengjun Zheng","orcid":"https://orcid.org/0000-0003-3834-1401"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pengjun Zheng","raw_affiliation_strings":["Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101903500","display_name":"Zhengfeng Huang","orcid":"https://orcid.org/0000-0002-7711-4343"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengfeng Huang","raw_affiliation_strings":["Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100660375"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1033,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81895429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"52042","last_page":"52051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991000294685364,"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":0.9815000295639038,"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":0.9167131781578064},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.7521283626556396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7328743934631348},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.7136884927749634},{"id":"https://openalex.org/keywords/transfer-station","display_name":"Transfer station","score":0.6707653999328613},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4917941391468048},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44824275374412537},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3994457721710205},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3979806900024414},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.37254732847213745},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1374116837978363}],"concepts":[{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.9167131781578064},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.7521283626556396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7328743934631348},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.7136884927749634},{"id":"https://openalex.org/C2775936651","wikidata":"https://www.wikidata.org/wiki/Q4992010","display_name":"Transfer station","level":3,"score":0.6707653999328613},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4917941391468048},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44824275374412537},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3994457721710205},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3979806900024414},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.37254732847213745},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1374116837978363},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2906361","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2906361","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08675919.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4484d41e5b3a4504be066b90f518418d","is_oa":true,"landing_page_url":"https://doaj.org/article/4484d41e5b3a4504be066b90f518418d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 52042-52051 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2906361","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2906361","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08675919.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3358862048","display_name":null,"funder_award_id":"LY18E080009","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4682516227","display_name":null,"funder_award_id":"2017A610139","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G5376987958","display_name":null,"funder_award_id":"71701108","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G856165924","display_name":null,"funder_award_id":"71701108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320322605","display_name":"Ningbo University","ror":"https://ror.org/03et85d35"},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337015","display_name":"K. C. Wong Magna Fund in Ningbo University","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2925711528.pdf","grobid_xml":"https://content.openalex.org/works/W2925711528.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W609247325","https://openalex.org/W646110402","https://openalex.org/W1528831059","https://openalex.org/W1596749507","https://openalex.org/W1601279095","https://openalex.org/W1986225115","https://openalex.org/W2009767457","https://openalex.org/W2018577633","https://openalex.org/W2022829616","https://openalex.org/W2023280063","https://openalex.org/W2024250585","https://openalex.org/W2068341557","https://openalex.org/W2077613353","https://openalex.org/W2083005814","https://openalex.org/W2103689287","https://openalex.org/W2153835920","https://openalex.org/W2176173702","https://openalex.org/W2343875120","https://openalex.org/W2402484515","https://openalex.org/W2501695661","https://openalex.org/W2518176840","https://openalex.org/W2568308921","https://openalex.org/W2606402959","https://openalex.org/W2737986502","https://openalex.org/W2758128778","https://openalex.org/W2764234815","https://openalex.org/W2790213249","https://openalex.org/W2793830231","https://openalex.org/W2800933505","https://openalex.org/W2804089390","https://openalex.org/W2808348903","https://openalex.org/W2810485271","https://openalex.org/W2899178401","https://openalex.org/W2901971034","https://openalex.org/W2909319436","https://openalex.org/W6621304305","https://openalex.org/W6631720110","https://openalex.org/W6713257730"],"related_works":["https://openalex.org/W2000826897","https://openalex.org/W2365294388","https://openalex.org/W2099081462","https://openalex.org/W1993610069","https://openalex.org/W2009232942","https://openalex.org/W2369564587","https://openalex.org/W2173994708","https://openalex.org/W2364725544","https://openalex.org/W4207014886","https://openalex.org/W4306950013"],"abstract_inverted_index":{"Non-coordinated":[0],"first-train":[1,66,124],"timetables":[2],"can":[3],"result":[4],"in":[5],"unfavorable":[6],"train":[7,32],"connections":[8],"among":[9],"different":[10,36,87],"subway":[11,107],"lines":[12,38],"at":[13,28,39],"transfer":[14,23,47,56,125],"stations":[15],"and":[16],"generate":[17],"rather":[18],"long":[19],"waiting":[20,48,77,121,143],"time":[21,49],"for":[22],"passengers.":[24],"This":[25],"paper":[26],"aims":[27],"optimizing":[29],"the":[30,40,54,59,75,96,105,113,119,132,139],"first":[31,84],"originating":[33],"times":[34],"of":[35,46,61,79,86,104,123,134,141],"transit":[37],"network":[41,108],"scale.":[42],"The":[43,65,89,115],"cost":[44,78,122],"function":[45],"is":[50,70,92,109,127,144],"formulated":[51],"to":[52,94,111],"evaluate":[53],"perceived":[55],"quality":[57],"with":[58,131],"consideration":[60],"passengers'":[62],"psychological":[63],"feelings.":[64],"timetable":[67],"coordination":[68],"model":[69],"then":[71],"developed":[72],"by":[73,129],"minimizing":[74],"total":[76,120],"passengers":[80,126],"transferring":[81],"between":[82],"two":[83],"trains":[85],"lines.":[88],"genetic":[90],"algorithm":[91],"applied":[93],"solve":[95],"model.":[97,137],"Finally,":[98],"a":[99],"case":[100],"study":[101],"from":[102],"part":[103],"Beijing":[106],"conducted":[110],"verify":[112],"method.":[114],"results":[116],"show":[117],"that":[118],"reduced":[128],"49.67%":[130],"application":[133],"our":[135],"proposed":[136],"Meanwhile,":[138],"number":[140],"super-long":[142],"significantly":[145],"reduced.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}