{"id":"https://openalex.org/W4390905469","doi":"https://doi.org/10.1109/tits.2023.3345739","title":"Energy-Efficient Timetable Optimization Empowered by Time-Energy Pareto Solution Under Actual Line Conditions","display_name":"Energy-Efficient Timetable Optimization Empowered by Time-Energy Pareto Solution Under Actual Line Conditions","publication_year":2024,"publication_date":"2024-01-16","ids":{"openalex":"https://openalex.org/W4390905469","doi":"https://doi.org/10.1109/tits.2023.3345739"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2023.3345739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3345739","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/A5100673653","display_name":"Huiru Zhang","orcid":"https://orcid.org/0000-0003-4620-7122"},"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"]},{"id":"https://openalex.org/I2801441622","display_name":"China Railway Corporation","ror":"https://ror.org/044wv3489","country_code":"CN","type":"government","lineage":["https://openalex.org/I2801441622","https://openalex.org/I4210122102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiru Zhang","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","Beijing Mass Transit Railway Operation Corporation Ltd, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4620-7122","affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Mass Transit Railway Operation Corporation Ltd, Beijing, China","institution_ids":["https://openalex.org/I2801441622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680032","display_name":"Limin Jia","orcid":"https://orcid.org/0000-0003-2161-4637"},"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":"Limin Jia","raw_affiliation_strings":["State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2161-4637","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335949","display_name":"Li Wang","orcid":"https://orcid.org/0000-0002-1090-9248"},"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":"Li Wang","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1090-9248","affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101489170","display_name":"Xinyue Xu","orcid":"https://orcid.org/0000-0002-6878-4759"},"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":"Xinyue Xu","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6878-4759","affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089171499","display_name":"Fei Dou","orcid":null},"institutions":[{"id":"https://openalex.org/I2801441622","display_name":"China Railway Corporation","ror":"https://ror.org/044wv3489","country_code":"CN","type":"government","lineage":["https://openalex.org/I2801441622","https://openalex.org/I4210122102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Dou","raw_affiliation_strings":["Beijing Mass Transit Railway Operation Corporation Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Mass Transit Railway Operation Corporation Ltd., Beijing, China","institution_ids":["https://openalex.org/I2801441622"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4414,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88952711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"25","issue":"7","first_page":"7106","last_page":"7124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9998999834060669,"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":0.9998999834060669,"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/T10842","display_name":"Railway Engineering and Dynamics","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.7030937671661377},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6689740419387817},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.615720272064209},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5983396768569946},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5781553983688354},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5608437061309814},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5235685706138611},{"id":"https://openalex.org/keywords/headway","display_name":"Headway","score":0.49886107444763184},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.4544948637485504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40370988845825195},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4029600918292999},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3564230501651764},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1320708692073822},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11349552869796753}],"concepts":[{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.7030937671661377},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6689740419387817},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.615720272064209},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5983396768569946},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5781553983688354},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5608437061309814},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5235685706138611},{"id":"https://openalex.org/C2779240695","wikidata":"https://www.wikidata.org/wiki/Q4383682","display_name":"Headway","level":2,"score":0.49886107444763184},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4544948637485504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40370988845825195},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4029600918292999},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3564230501651764},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1320708692073822},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11349552869796753},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2023.3345739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3345739","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":[{"display_name":"Affordable and clean energy","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4425481592","display_name":null,"funder_award_id":"2022YFB4300603","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6580514972","display_name":null,"funder_award_id":"Z211100002121098","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G8132548628","display_name":null,"funder_award_id":"9212014","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W201234750","https://openalex.org/W1852135537","https://openalex.org/W1853065930","https://openalex.org/W1978678798","https://openalex.org/W1985398892","https://openalex.org/W1988986641","https://openalex.org/W2000987570","https://openalex.org/W2009297736","https://openalex.org/W2019917218","https://openalex.org/W2028918699","https://openalex.org/W2038814776","https://openalex.org/W2046413150","https://openalex.org/W2070392617","https://openalex.org/W2073550647","https://openalex.org/W2077349158","https://openalex.org/W2088283418","https://openalex.org/W2109879495","https://openalex.org/W2126105956","https://openalex.org/W2137264502","https://openalex.org/W2165167046","https://openalex.org/W2211624988","https://openalex.org/W2286071705","https://openalex.org/W2344852273","https://openalex.org/W2414364427","https://openalex.org/W2526006345","https://openalex.org/W2560952676","https://openalex.org/W2575333338","https://openalex.org/W2583161153","https://openalex.org/W2747851643","https://openalex.org/W2796416311","https://openalex.org/W2809565161","https://openalex.org/W2883349181","https://openalex.org/W2883868302","https://openalex.org/W2908211935","https://openalex.org/W2913443311","https://openalex.org/W2937352853","https://openalex.org/W2938894022","https://openalex.org/W2943914934","https://openalex.org/W2960658955","https://openalex.org/W2963429502","https://openalex.org/W2971819557","https://openalex.org/W2976327234","https://openalex.org/W3003745766","https://openalex.org/W3010726750","https://openalex.org/W3020458414","https://openalex.org/W3033555278","https://openalex.org/W6608221078"],"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":{"Considering":[0],"the":[1,29,34,54,65,96,101,115,126,133,138,168,180,185,189,195,206,216,234,242,245],"high":[2],"complexity":[3],"of":[4,100,157,167,184,188,203,213,244],"actual":[5,41,181],"railway":[6,192],"line":[7,42],"conditions,":[8,43],"this":[9],"paper":[10],"proposes":[11],"a":[12,59,85,106,144],"two-level":[13,247],"energy-efficient":[14,134],"timetable":[15,135,170,197],"optimization":[16,61,248],"method":[17,39,150,235],"empowered":[18],"by":[19,80,109,136],"time-energy":[20,97],"Pareto":[21,98,129],"solution":[22,99,130],"to":[23,52,63,94,131,153,201,233],"reduce":[24],"energy":[25,69,204],"consumption":[26],"while":[27,171],"maintaining":[28],"existing":[30],"infrastructure":[31],"unchanged.":[32],"At":[33,114],"train-level,":[35],"an":[36,117],"efficient":[37],"equivalence":[38],"for":[40,105,164],"including":[44],"varying":[45],"slopes,":[46],"curves,":[47],"and":[48,68,84,161,222,229],"tunnels":[49],"is":[50,91,123,151,208],"proposed":[51,93,152,246],"formulate":[53],"train":[55,108,207,214],"driving":[56],"process":[57],"as":[58],"multi-objective":[60],"model":[62,122],"balance":[64],"time":[66],"cost":[67],"consumption.":[70],"An":[71],"improved":[72],"non-dominated":[73],"sorting":[74],"genetic":[75],"algorithm":[76],"II":[77],"(INSGA-II)":[78],"enhanced":[79],"differential":[81],"evolution":[82],"(DE)":[83],"new":[86],"crowding":[87],"distance":[88],"(NCD)":[89],"operator":[90],"further":[92],"access":[95],"potential":[102],"speed":[103],"profile":[104],"single":[107],"comparing":[110],"different":[111],"control":[112,159],"strategies.":[113],"timetable-level,":[116],"integer":[118],"linear":[119],"programming":[120],"(ILP)":[121],"designed":[124],"with":[125],"computed":[127],"train-level":[128],"optimize":[132],"restricting":[137],"headway":[139],"between":[140],"trains,":[141],"in":[142],"which":[143,239],"novel":[145],"operation":[146,182],"time-based":[147],"branch-and-bound":[148],"(BBOT)":[149],"enable":[154],"quick":[155],"search":[156],"optimal":[158,169],"strategy":[160],"thus":[162],"allows":[163],"accurate":[165],"output":[166],"retaining":[172],"real":[173],"simulation":[174],"results.":[175],"A":[176],"case":[177],"study":[178],"on":[179,209],"data":[183],"Beijing-Jinan":[186],"section":[187],"Beijing-Shanghai":[190],"high-speed":[191],"shows":[193],"that":[194],"optimized":[196],"can":[198],"save":[199],"up":[200],"18.69%":[202],"when":[205],"time.":[210],"In":[211],"cases":[212],"delays,":[215],"total":[217],"savings":[218],"under":[219],"8-min,":[220],"9-min,":[221],"14-min":[223],"delay":[224],"scenarios":[225],"are":[226],"4.69%,":[227],"9.93%,":[228],"8.05%,":[230],"respectively":[231],"compared":[232],"using":[236],"time-oriented":[237],"strategies,":[238],"have":[240],"demonstrated":[241],"effectiveness":[243],"formulation.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
