{"id":"https://openalex.org/W4410772397","doi":"https://doi.org/10.1145/3727353.3727439","title":"Cooperative optimization of train timetable and rolling stock plan based on skip-stop strategy","display_name":"Cooperative optimization of train timetable and rolling stock plan based on skip-stop strategy","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4410772397","doi":"https://doi.org/10.1145/3727353.3727439"},"language":"en","primary_location":{"id":"doi:10.1145/3727353.3727439","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727439","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727439","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727439","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jiarui Dai","orcid":"https://orcid.org/0009-0003-7859-9471"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiarui Dai","raw_affiliation_strings":["Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-7859-9471","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102084020","display_name":"Woei Cherng Wu","orcid":"https://orcid.org/0000-0003-3438-9088"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxiang Wu","raw_affiliation_strings":["Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3438-9088","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14481242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"535","last_page":"539"},"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":0.9887999892234802,"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":0.9854000210762024,"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/stock","display_name":"Stock (firearms)","score":0.6878579258918762},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.6031632423400879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5537878274917603},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3847994804382324},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23782026767730713},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.08489936590194702},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.060510486364364624}],"concepts":[{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.6878579258918762},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.6031632423400879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5537878274917603},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3847994804382324},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23782026767730713},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.08489936590194702},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.060510486364364624},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3727353.3727439","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727439","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727439","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3727353.3727439","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727439","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727439","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7777266204","display_name":null,"funder_award_id":"72271006","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410772397.pdf","grobid_xml":"https://content.openalex.org/works/W4410772397.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2176173702","https://openalex.org/W2807632290","https://openalex.org/W2898623474","https://openalex.org/W2924415334","https://openalex.org/W3164592837","https://openalex.org/W4214721613","https://openalex.org/W4388255320"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"With":[0],"the":[1,66,72,120,126,144,147],"acceleration":[2],"of":[3,14,75,146],"urbanization,":[4],"urban":[5],"rail":[6],"transit":[7],"(URT)":[8],"have":[9,23],"become":[10],"a":[11,56],"crucial":[12],"component":[13],"public":[15],"transportation":[16],"in":[17,27,47],"modern":[18],"metropolises.":[19],"Although":[20],"previous":[21],"studies":[22,35],"made":[24],"some":[25],"progress":[26],"skip-stop":[28],"strategies":[29],"and":[30,44,65,80,101,107],"train":[31,63,98],"scheduling":[32,58],"optimization,":[33],"these":[34],"often":[36],"overlook":[37],"issues":[38],"related":[39],"to":[40,54,70,104,124,142],"passenger":[41,78],"service":[42],"levels":[43],"workload":[45],"balance":[46],"rolling":[48,67],"stock":[49,68],"utilization.":[50],"This":[51],"study":[52,87],"aims":[53],"propose":[55],"new":[57],"model":[59,116],"by":[60],"synergistically":[61],"optimizing":[62],"timetabling":[64],"plan":[69],"enhance":[71],"overall":[73],"efficiency":[74],"URT,":[76],"ensuring":[77],"comfort":[79],"reducing":[81],"operator":[82],"costs.":[83],"Given":[84],"that":[85],"this":[86],"focuses":[88],"primarily":[89],"on":[90],"single-track":[91],"scenarios,":[92],"it":[93],"requires":[94],"stricter":[95],"control":[96],"over":[97],"dispatch":[99],"intervals":[100],"stop":[102],"patterns":[103],"prevent":[105],"interference":[106],"congestion":[108],"between":[109],"trains.":[110],"A":[111],"hybrid":[112],"integer":[113],"nonlinear":[114],"programming":[115],"is":[117,140],"adopted,":[118],"with":[119],"NSGA-II":[121],"algorithm":[122],"applied":[123],"solve":[125],"multi-objective":[127],"optimization":[128],"problem.":[129],"Simulation":[130],"analysis":[131],"using":[132],"real":[133],"data":[134],"from":[135],"Beijing":[136],"Subway's":[137],"Yizhuang":[138],"Line":[139],"conducted":[141],"validate":[143],"effectiveness":[145],"proposed":[148],"model.":[149]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}