{"id":"https://openalex.org/W2563248704","doi":"https://doi.org/10.1109/itsc.2016.7795578","title":"An effective simulation model for multi-line metro systems based on origin-destination data","display_name":"An effective simulation model for multi-line metro systems based on origin-destination data","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2563248704","doi":"https://doi.org/10.1109/itsc.2016.7795578","mag":"2563248704"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2016.7795578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-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/A5003491365","display_name":"Jiaxuan You","orcid":"https://orcid.org/0000-0003-1812-7598"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaxuan You","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054901137","display_name":"Wei Guo","orcid":"https://orcid.org/0000-0002-9158-8107"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Guo","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388033","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0001-6055-9461"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Department of Automation, TNList, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, TNList, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101570773","display_name":"Jianming Hu","orcid":"https://orcid.org/0000-0001-8065-7309"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Hu","raw_affiliation_strings":["Department of Automation, TNList, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, TNList, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003491365"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.8179,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87396914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"348","last_page":"353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9972000122070312,"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":0.980400025844574,"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"}},{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9781000018119812,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.7816081047058105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7574013471603394},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5885644555091858},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5085967779159546},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4422372579574585},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4220523536205292},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3373566269874573},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1337316334247589},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11020311713218689}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.7816081047058105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7574013471603394},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5885644555091858},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5085967779159546},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4422372579574585},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4220523536205292},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3373566269874573},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1337316334247589},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11020311713218689},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2016.7795578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1977683695","https://openalex.org/W2004079217","https://openalex.org/W2007582728","https://openalex.org/W2025278865","https://openalex.org/W2087914207","https://openalex.org/W2102815650","https://openalex.org/W2127443949","https://openalex.org/W2133605060","https://openalex.org/W2320773143","https://openalex.org/W2565019123","https://openalex.org/W3149556746","https://openalex.org/W4285719527","https://openalex.org/W6626020500","https://openalex.org/W6657043901","https://openalex.org/W6679894832"],"related_works":["https://openalex.org/W2015747722","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W2369897927","https://openalex.org/W3031731056","https://openalex.org/W4293167957","https://openalex.org/W2361035307","https://openalex.org/W2380455807","https://openalex.org/W2993975634","https://openalex.org/W2367835030"],"abstract_inverted_index":{"Metro":[0],"systems":[1,46],"are":[2,14],"playing":[3],"an":[4,31,39],"increasing":[5],"role":[6],"in":[7,62,73,82],"modern":[8],"cities,":[9],"and":[10,33,53,89],"various":[11],"management":[12],"solutions":[13],"proposed":[15],"to":[16,29],"improve":[17],"their":[18],"efficiency.":[19],"When":[20],"analyzing":[21,83],"the":[22,49,54,63,84,91],"effects":[23],"of":[24,65,86,93],"those":[25],"solutions,":[26],"simulation":[27,41],"proves":[28,70],"be":[30],"effective":[32,40],"cost-saving":[34],"method.":[35],"This":[36],"paper":[37],"presents":[38],"model":[42,59,81],"for":[43],"multi-line":[44],"metro":[45,67],"based":[47],"on":[48],"OD":[50],"(origin-destination)":[51],"data":[52],"network":[55],"connection":[56],"data.":[57],"The":[58],"is":[60],"validated":[61],"scenario":[64],"Beijing":[66],"system,":[68],"which":[69],"its":[71,94],"effectiveness":[72],"large-scale":[74],"empirical":[75],"implementation.":[76],"We":[77],"further":[78],"apply":[79],"our":[80],"policy":[85],"staggered":[87],"shifts,":[88],"prove":[90],"convenience":[92],"application.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}