{"id":"https://openalex.org/W2989624043","doi":"https://doi.org/10.1109/itsc.2019.8916946","title":"An Overflowing Passengers Transfer Model for Metro Congestion Relieving Using Customized Bus","display_name":"An Overflowing Passengers Transfer Model for Metro Congestion Relieving Using Customized Bus","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2989624043","doi":"https://doi.org/10.1109/itsc.2019.8916946","mag":"2989624043"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8916946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8916946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (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/A5006888001","display_name":"Tenglong Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tenglong Hao","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602106","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0002-7943-3989"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081442582","display_name":"Panyu Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Panyu Gao","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083713025","display_name":"Bailin Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bailin Huang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089983841","display_name":"Beiye Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beiye Liang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077419230","display_name":"Xiying Li","orcid":"https://orcid.org/0000-0002-4753-8022"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiying Li","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5006888001"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.3052,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7287519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9994000196456909,"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":0.9994000196456909,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9909999966621399,"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/computer-science","display_name":"Computer science","score":0.6318831443786621},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.5042978525161743},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.46917372941970825},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.41084492206573486},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.38272976875305176},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.30535799264907837},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16524499654769897}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6318831443786621},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.5042978525161743},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.46917372941970825},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.41084492206573486},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.38272976875305176},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.30535799264907837},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16524499654769897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2019.8916946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8916946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2101681492","https://openalex.org/W2173375347","https://openalex.org/W2372031702","https://openalex.org/W2744834993","https://openalex.org/W6675199420"],"related_works":["https://openalex.org/W2418291489","https://openalex.org/W3096519538","https://openalex.org/W2744747300","https://openalex.org/W4241166160","https://openalex.org/W2068121105","https://openalex.org/W2384826897","https://openalex.org/W1973516247","https://openalex.org/W1997466117","https://openalex.org/W2795695574","https://openalex.org/W2111375262"],"abstract_inverted_index":{"With":[0],"the":[1,4,6,15,19,30,44,47,60,64,68,72,75,82,86,97,101,104,118,121,124,136,151,156,159,171,179,184],"development":[2],"of":[3,8,32,46,63,74,85,103,120,139,158,164,186,199],"city,":[5],"volume":[7],"metro":[9,20,48,65,77,87,122,161,173],"passengers":[10,201],"has":[11,23,34],"been":[12],"rising":[13],"during":[14,123],"peak":[16,125],"period,":[17],"and":[18,127,183],"congestion":[21,188],"problem":[22],"become":[24,35],"increasingly":[25],"serious.":[26],"How":[27],"to":[28,54,58,66,94],"alleviate":[29],"\"jam":[31],"metro\"":[33],"a":[36,89,108,143],"major":[37],"concern":[38],"in":[39,176],"many":[40],"metropolises.":[41],"Considering":[42],"that":[43,170],"capacity":[45,102],"is":[49,153,175,189],"limited,":[50],"this":[51,113],"paper":[52],"proposes":[53],"use":[55],"customized":[56],"bus(CB)":[57],"share":[59],"passenger":[61],"pressure":[62,119],"reduce":[67],"congestion.":[69],"Based":[70],"on":[71,155],"data":[73,163],"passengers\u2019":[76],"cards,":[78],"we":[79],"will":[80],"reconstruct":[81],"operation":[83,174],"situation":[84,181],"for":[88,146],"whole":[90],"day,":[91],"so":[92],"as":[93],"find":[95],"out":[96],"\"overflowing":[98],"passengers(OP)\"":[99],"beyond":[100],"metro,":[105],"then":[106],"generate":[107],"CB":[109,147],"departure":[110],"plan.":[111],"In":[112],"way,":[114],"it":[115],"can":[116,133],"relieve":[117],"period":[126],"save":[128],"passengers'":[129],"travel":[130,197],"time.":[131],"It":[132],"meanwhile":[134],"guarantee":[135],"demand":[137],"source":[138],"CB,":[140],"which":[141],"provides":[142],"new":[144],"way":[145],"route":[148],"design.":[149],"Finally,":[150],"experiment":[152],"conducted":[154],"basis":[157],"real":[160],"card":[162],"Guangzhou":[165],"City.":[166],"The":[167,195],"results":[168],"show":[169],"reconstructed":[172],"line":[177],"with":[178],"actual":[180],"(86.58%),":[182],"effect":[185],"relieving":[187],"also":[190],"very":[191],"significant":[192],"within":[193],"7:00-9:30.":[194],"total":[196],"time":[198],"all":[200],"decreased":[202],"by":[203],"23,541.6":[204],"hrs.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
