{"id":"https://openalex.org/W2998336146","doi":"https://doi.org/10.3390/s20010150","title":"A Hybrid Method for Predicting Traffic Congestion during Peak Hours in the Subway System of Shenzhen","display_name":"A Hybrid Method for Predicting Traffic Congestion during Peak Hours in the Subway System of Shenzhen","publication_year":2019,"publication_date":"2019-12-25","ids":{"openalex":"https://openalex.org/W2998336146","doi":"https://doi.org/10.3390/s20010150","mag":"2998336146","pmid":"https://pubmed.ncbi.nlm.nih.gov/31881726"},"language":"en","primary_location":{"id":"doi:10.3390/s20010150","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20010150","pdf_url":"https://www.mdpi.com/1424-8220/20/1/150/pdf?version=1577340607","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/1/150/pdf?version=1577340607","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044507682","display_name":"Zhenwei Luo","orcid":"https://orcid.org/0009-0006-3814-5899"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenwei Luo","raw_affiliation_strings":["School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101863644","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0001-8217-0377"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412846","display_name":"Lin Li","orcid":"https://orcid.org/0000-0002-2034-982X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Li","raw_affiliation_strings":["RE-Institute of Smart Perception and Intelligent Computing, Wuhan University, Wuhan 430079, China","School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0002-2034-982X","affiliations":[{"raw_affiliation_string":"RE-Institute of Smart Perception and Intelligent Computing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100647771","display_name":"Biao He","orcid":"https://orcid.org/0000-0002-2608-9731"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao He","raw_affiliation_strings":["School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518000, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101808664","display_name":"Chengming Li","orcid":"https://orcid.org/0000-0002-9438-4871"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengming Li","raw_affiliation_strings":["Chinese Academy of Surveying and Mapping, 28 Lianghuachi West Road, Haidian Qu, Beijing 100830, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Surveying and Mapping, 28 Lianghuachi West Road, Haidian Qu, Beijing 100830, China","institution_ids":["https://openalex.org/I4210114963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101920570","display_name":"Haihong Zhu","orcid":"https://orcid.org/0000-0003-2503-0700"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haihong Zhu","raw_affiliation_strings":["RE-Institute of Smart Perception and Intelligent Computing, Wuhan University, Wuhan 430079, China","School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RE-Institute of Smart Perception and Intelligent Computing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391896","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-1717-5785"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022907367","display_name":"Shen Ying","orcid":"https://orcid.org/0000-0001-8066-9203"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Ying","raw_affiliation_strings":["RE-Institute of Smart Perception and Intelligent Computing, Wuhan University, Wuhan 430079, China","School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0001-8066-9203","affiliations":[{"raw_affiliation_string":"RE-Institute of Smart Perception and Intelligent Computing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085350749","display_name":"Yuliang Xi","orcid":"https://orcid.org/0000-0003-1933-0934"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Xi","raw_affiliation_strings":["School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100412846","https://openalex.org/A5101920570"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.6502,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.73105575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":"1","first_page":"150","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9998000264167786,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","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"}}],"keywords":[{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.8318061828613281},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.7784223556518555},{"id":"https://openalex.org/keywords/metropolitan-area","display_name":"Metropolitan area","score":0.7083254456520081},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.6730886101722717},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.5891190767288208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.511709451675415},{"id":"https://openalex.org/keywords/traffic-optimization","display_name":"Traffic optimization","score":0.4191310405731201},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.33356067538261414},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.30067479610443115},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21265968680381775},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2094573676586151}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.8318061828613281},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.7784223556518555},{"id":"https://openalex.org/C158739034","wikidata":"https://www.wikidata.org/wiki/Q1907114","display_name":"Metropolitan area","level":2,"score":0.7083254456520081},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.6730886101722717},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.5891190767288208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.511709451675415},{"id":"https://openalex.org/C86266404","wikidata":"https://www.wikidata.org/wiki/Q7832512","display_name":"Traffic optimization","level":4,"score":0.4191310405731201},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.33356067538261414},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.30067479610443115},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21265968680381775},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2094573676586151},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20010150","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20010150","pdf_url":"https://www.mdpi.com/1424-8220/20/1/150/pdf?version=1577340607","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:31881726","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31881726","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:ce5de5adf79442a3ae23efb5b93d6d00","is_oa":true,"landing_page_url":"https://doaj.org/article/ce5de5adf79442a3ae23efb5b93d6d00","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 1, p 150 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/1/150/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20010150","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6982792","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6982792","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20010150","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20010150","pdf_url":"https://www.mdpi.com/1424-8220/20/1/150/pdf?version=1577340607","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3138737618","display_name":null,"funder_award_id":"2017YFB0503701","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6389948728","display_name":"\u9762\u5411\u4ea7\u6743\u8bed\u4e49\u7a7a\u95f4\u7684\u4e09\u7ef4\u7a7a\u95f4\u5bf9\u8c61\u5efa\u6a21\u53ca\u53ef\u89c6\u5316\u7814\u7a76","funder_award_id":"41471325","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2998336146.pdf","grobid_xml":"https://content.openalex.org/works/W2998336146.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1538217831","https://openalex.org/W1970708553","https://openalex.org/W1973943669","https://openalex.org/W1984495217","https://openalex.org/W1999503977","https://openalex.org/W2002841906","https://openalex.org/W2008400000","https://openalex.org/W2011529478","https://openalex.org/W2021002141","https://openalex.org/W2021153764","https://openalex.org/W2033851778","https://openalex.org/W2051665016","https://openalex.org/W2061062671","https://openalex.org/W2061530558","https://openalex.org/W2079662306","https://openalex.org/W2083238230","https://openalex.org/W2085916440","https://openalex.org/W2085987121","https://openalex.org/W2090192376","https://openalex.org/W2100015268","https://openalex.org/W2158335518","https://openalex.org/W2164934513","https://openalex.org/W2171234954","https://openalex.org/W2183679353","https://openalex.org/W2265497615","https://openalex.org/W2308302857","https://openalex.org/W2318143237","https://openalex.org/W2336496902","https://openalex.org/W2384147873","https://openalex.org/W2463276089","https://openalex.org/W2491994116","https://openalex.org/W2516812769","https://openalex.org/W2517866598","https://openalex.org/W2559890533","https://openalex.org/W2560603808","https://openalex.org/W2561722812","https://openalex.org/W2611806403","https://openalex.org/W2613322775","https://openalex.org/W2626290941","https://openalex.org/W2752510773","https://openalex.org/W2810880204","https://openalex.org/W2894714913","https://openalex.org/W2896326353","https://openalex.org/W2896709330","https://openalex.org/W2950117923","https://openalex.org/W2973129203","https://openalex.org/W6683849828","https://openalex.org/W6723109506","https://openalex.org/W6726405585"],"related_works":["https://openalex.org/W2972320057","https://openalex.org/W3117279048","https://openalex.org/W4386289889","https://openalex.org/W2945875309","https://openalex.org/W2898775471","https://openalex.org/W1669406372","https://openalex.org/W4286209918","https://openalex.org/W3010492599","https://openalex.org/W2895639930","https://openalex.org/W2954836183"],"abstract_inverted_index":{"Traffic":[0],"congestion,":[1],"especially":[2],"during":[3,86],"peak":[4,87],"hours,":[5],"has":[6,67],"become":[7],"a":[8,76,83,91,96,194,197],"challenge":[9],"for":[10,25,79,136,215],"transportation":[11,52],"systems":[12],"in":[13,53,65,82,112,124,155,167,222],"many":[14],"metropolitan":[15],"areas,":[16],"and":[17,22,43,61,63,89,118,129,161,196],"such":[18,57],"congestion":[19,81,111,164,176],"causes":[20],"delays":[21],"negative":[23],"effects":[24],"passengers.":[26],"Many":[27],"studies":[28,37,217],"have":[29],"examined":[30],"the":[31,48,122,133,137,148,162,171,175,186,201,204],"prediction":[32],"of":[33,51,121,140,158,178,203],"congestion;":[34],"however,":[35],"these":[36],"focus":[38],"mainly":[39],"on":[40,174],"road":[41],"traffic,":[42,160],"subway":[44,84,114,138,179,220],"transit,":[45],"which":[46],"is":[47,150,165],"main":[49],"form":[50],"densely":[54],"populated":[55],"cities,":[56],"as":[58,75,152,193,212],"Tokyo,":[59],"Paris,":[60],"Beijing":[62],"Shenzhen":[64,74,187],"China,":[66],"seldom":[68],"been":[69],"examined.":[70],"This":[71,207],"study":[72,78,208],"takes":[73],"case":[77],"predicting":[80,159],"system":[85,139],"hours":[88],"proposes":[90],"hybrid":[92],"method":[93,157],"that":[94,181,218],"combines":[95],"static":[97],"traffic":[98,105,134,163,221],"assignment":[99],"model":[100,107,219],"with":[101],"an":[102,153,213],"agent-based":[103],"dynamic":[104],"simulation":[106],"to":[108,131],"estimate":[109],"recurrent":[110],"this":[113,125,156],"system.":[115],"The":[116],"homes":[117],"work":[119],"places":[120],"residents":[123],"city":[126],"are":[127,182,191],"collected":[128],"taken":[130,211],"represent":[132],"demand":[135],"Shenzhen.":[141],"An":[142],"origin-destination":[143],"(OD)":[144],"matrix":[145],"derived":[146],"from":[147],"data":[149,173],"used":[151,192],"input":[154],"presented":[166],"simulations.":[168],"To":[169],"evaluate":[170],"predictions,":[172],"condition":[177],"segments":[180],"released":[183],"daily":[184],"by":[185],"metro":[188],"operation":[189],"microblog":[190],"reference,":[195],"comparative":[198],"analysis":[199],"indicates":[200],"appropriateness":[202],"proposed":[205],"method.":[206],"could":[209],"be":[210],"example":[214],"similar":[216],"other":[223],"cities.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
