乐胖代购免代理版

{"id":"https://openalex.org/W2990392999","doi":"https://doi.org/10.1109/itsc.2019.8917358","title":"Dynamic train formation and dispatching for rail transit based on virtually coupled train set","display_name":"Dynamic train formation and dispatching for rail transit based on virtually coupled train set","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990392999","doi":"https://doi.org/10.1109/itsc.2019.8917358","mag":"2990392999"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5101744399","display_name":"Ling Liu","orcid":"https://orcid.org/0000-0003-4353-9148"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling LIU","raw_affiliation_strings":["School of Software and Microelectronics, Beijing Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software and Microelectronics, Beijing Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101798871","display_name":"Ping Wang","orcid":"https://orcid.org/0000-0002-2308-9795"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping WANG","raw_affiliation_strings":["National Engineering Research Center for Software Engineering, School of Software and Microelectronics, Ministry of Education, Beijing Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Software Engineering, School of Software and Microelectronics, Ministry of Education, Beijing Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645184","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0001-9049-0565"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying WANG","raw_affiliation_strings":["Beijing National Railway Research& Design Institute of Signal & Communicatioon, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Railway Research& Design Institute of Signal & Communicatioon, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323752","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-7566-2995"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei WEI","raw_affiliation_strings":["Beijing National Railway Research& Design Institute of Signal & Communicatioon, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Railway Research& Design Institute of Signal & Communicatioon, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033112451","display_name":"Zhoufan WANG","orcid":null},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhoufan WANG","raw_affiliation_strings":["Beijing National Railway Research& Design Institute of Signal & Communicatioon, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Railway Research& Design Institute of Signal & Communicatioon, Beijing, China","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.403,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95814,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":90},"biblio":{"volume":null,"issue":null,"first_page":"2823","last_page":"2828"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9997,"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":0.9997,"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":0.9988,"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/T10842","display_name":"Railway Engineering and Dynamics","score":0.9827,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.721239},{"id":"https://openalex.org/keywords/urban-rail-transit","display_name":"Urban rail transit","score":0.5746941},{"id":"https://openalex.org/keywords/rail-freight-transport","display_name":"Rail freight transport","score":0.50070405}],"concepts":[{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.87032497},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.721239},{"id":"https://openalex.org/C2780434240","wikidata":"https://www.wikidata.org/wiki/Q3491904","display_name":"Urban rail transit","level":2,"score":0.5746941},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5736287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.57134694},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.53892374},{"id":"https://openalex.org/C519458232","wikidata":"https://www.wikidata.org/wiki/Q2234623","display_name":"Rail freight transport","level":2,"score":0.50070405},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.49674016},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41316634},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.38590837},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.35899848},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.35215437},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3480273},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":17,"referenced_works":["https://openalex.org/W1914882978","https://openalex.org/W1983597930","https://openalex.org/W2024831709","https://openalex.org/W2031545009","https://openalex.org/W2057706860","https://openalex.org/W2078982889","https://openalex.org/W2079781888","https://openalex.org/W2079931787","https://openalex.org/W2137264502","https://openalex.org/W2156494655","https://openalex.org/W2273673096","https://openalex.org/W2470125985","https://openalex.org/W2529971118","https://openalex.org/W2617307158","https://openalex.org/W2761281321","https://openalex.org/W2803156588","https://openalex.org/W2903410359"],"related_works":["https://openalex.org/W4362495566","https://openalex.org/W3116548816","https://openalex.org/W3014342922","https://openalex.org/W2952338182","https://openalex.org/W2208373943","https://openalex.org/W2127507511","https://openalex.org/W2121128772","https://openalex.org/W2024992299","https://openalex.org/W2022182632","https://openalex.org/W104768530"],"abstract_inverted_index":{"Virtually":[0],"coupled":[1,56],"train":[2,10,42,57,67,75,102],"set":[3],"(VCTS)":[4],"provides":[5],"new":[6,19],"prospects":[7],"for":[8,15,113],"dynamic":[9,41,74,101],"formation":[11,43,68,76,103],"and":[12,35,49,91,162],"dispatching":[13,60],"method":[14,20],"rail":[16],"transit.":[17],"A":[18],"that":[21,178,200],"considers":[22],"the":[23,64,73,85,88,127,135,151,154,163,173,179,184,195,202],"distribution":[24,93],"of":[25,66,84,94,126,197,204],"passenger":[26,95,115,164,188,205],"flow":[27,96,116],"is":[28,45,97,111,117,131,158,167,181],"put":[29],"forward":[30],"to":[31,47,87,100,119,133,183],"improve":[32],"transportation":[33,37,198],"efficiency":[34],"achieve":[36],"capacity":[38,199],"configurable.":[39],"The":[40,82,138,190],"technology":[44,77,86],"presented":[46],"coordinate":[48],"dispatch":[50],"all":[51],"running":[52],"trains":[53],"in":[54,71,146],"virtually":[55],"set.":[58],"After":[59],"methods":[61],"based":[62],"on":[63],"form":[65],"are":[69,79],"discussed":[70],"details,":[72],"connotations":[78],"then":[80],"expatiated.":[81],"adaptability":[83],"unbalanced":[89],"spatial":[90],"temporal":[92],"analyzed.":[98],"According":[99],"technology,":[104],"an":[105],"integer":[106],"nonlinear":[107],"programming":[108],"model":[109,180,192],"which":[110],"suitable":[112],"real-time":[114],"proposed":[118,136,174,191],"make":[120],"spatial-temporal":[121,186],"dispatching.":[122],"Finally,":[123],"actual":[124],"data":[125],"Beijing-Shanghai":[128],"high-speed":[129],"railway":[130],"used":[132],"verify":[134],"model.":[137],"optimal":[139],"solution":[140],"can":[141],"be":[142],"found":[143],"using":[144],"Lingo11.0":[145],"6":[147],"seconds.":[148],"Compared":[149],"with":[150],"existing":[152],"methods,":[153],"vacant":[155],"seat":[156],"mileage":[157],"reduced":[159],"by":[160,169,171],"20%-40%":[161],"load":[165],"factor":[166],"increased":[168],"5%-10%":[170],"applying":[172],"method.":[175],"We":[176],"show":[177],"adaptable":[182],"unevenly":[185],"distributed":[187],"flow.":[189,206],"effectively":[193],"enhances":[194],"configurability":[196],"fits":[201],"characteristics":[203]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2990392999","counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-05-01T05:20:21.429906","created_date":"2019-12-05"}