{"id":"https://openalex.org/W4416809774","doi":"https://doi.org/10.1016/j.eswa.2025.130581","title":"High-resolution traffic flow estimation for urban road network: incorporating traffic flow model into deep learning","display_name":"High-resolution traffic flow estimation for urban road network: incorporating traffic flow model into deep learning","publication_year":2025,"publication_date":"2025-11-27","ids":{"openalex":"https://openalex.org/W4416809774","doi":"https://doi.org/10.1016/j.eswa.2025.130581"},"language":"en","primary_location":{"id":"doi:10.1016/j.eswa.2025.130581","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2025.130581","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-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/A5053196577","display_name":"Jianhua Song","orcid":"https://orcid.org/0000-0003-1132-9672"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]},{"id":"https://openalex.org/I4210102494","display_name":"Inner Mongolia Electric Power Survey & Design Institute (China)","ror":"https://ror.org/01cg3n190","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210102494"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Song","raw_affiliation_strings":["Inner Mongolia Engineering Research Center for Urban Transportation Data Science and Applications, No. 49 Xilin Gol South Road, Yuquan District, Hohhot 010070, Inner Mongolia Autonomous Region, China","Transportation Institute, Inner Mongolia University, No.49 Xilin Gol South Road, Yuquan District, Hohhot 010070, Inner Mongolia Autonomous Region, China"],"raw_orcid":"https://orcid.org/0000-0003-1132-9672","affiliations":[{"raw_affiliation_string":"Inner Mongolia Engineering Research Center for Urban Transportation Data Science and Applications, No. 49 Xilin Gol South Road, Yuquan District, Hohhot 010070, Inner Mongolia Autonomous Region, China","institution_ids":["https://openalex.org/I4210102494"]},{"raw_affiliation_string":"Transportation Institute, Inner Mongolia University, No.49 Xilin Gol South Road, Yuquan District, Hohhot 010070, Inner Mongolia Autonomous Region, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442994","display_name":"Zhe Zhang","orcid":"https://orcid.org/0000-0002-4856-2497"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["BD","CN"],"is_corresponding":false,"raw_author_name":"Zhe Zhang","raw_affiliation_strings":["School of Transportation, Southeast University, Southeast University Road 2#, Nanjing 211189, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Southeast University Road 2#, Nanjing 211189, China","institution_ids":["https://openalex.org/I76569877","https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004466915","display_name":"Gang Ren","orcid":"https://orcid.org/0000-0002-3412-0831"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["BD","CN"],"is_corresponding":true,"raw_author_name":"Gang Ren","raw_affiliation_strings":["School of Transportation, Southeast University, Southeast University Road 2#, Nanjing 211189, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Southeast University Road 2#, Nanjing 211189, China","institution_ids":["https://openalex.org/I76569877","https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085879551","display_name":"J. J. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiefei Zhang","raw_affiliation_strings":["Department of Traffic Engineering, Anhui University of Science and Technology, Taifeng Street 168#, Huainan 232001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Traffic Engineering, Anhui University of Science and Technology, Taifeng Street 168#, Huainan 232001, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053122805","display_name":"Jian Ma","orcid":"https://orcid.org/0000-0003-2644-5756"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["BD","CN"],"is_corresponding":false,"raw_author_name":"Jingfeng Ma","raw_affiliation_strings":["School of Transportation, Southeast University, Southeast University Road 2#, Nanjing 211189, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Southeast University Road 2#, Nanjing 211189, China","institution_ids":["https://openalex.org/I76569877","https://openalex.org/I4210090971"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004466915"],"corresponding_institution_ids":["https://openalex.org/I4210090971","https://openalex.org/I76569877"],"apc_list":{"value":3220,"currency":"USD","value_usd":3220},"apc_paid":null,"fwci":1.6264,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85566036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"302","issue":null,"first_page":"130581","last_page":"130581"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.8518999814987183,"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":0.8518999814987183,"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/T10524","display_name":"Traffic control and management","score":0.11500000208616257,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.004000000189989805,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6789000034332275},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6165000200271606},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.49799999594688416},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.475600004196167},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.46709999442100525},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4659000039100647},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.36550000309944153},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.36550000309944153},{"id":"https://openalex.org/keywords/cell-transmission-model","display_name":"Cell Transmission Model","score":0.3626999855041504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784600019454956},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6789000034332275},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6165000200271606},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.49799999594688416},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.475600004196167},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.46709999442100525},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4659000039100647},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4659000039100647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43799999356269836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36629998683929443},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.36550000309944153},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.36550000309944153},{"id":"https://openalex.org/C139417690","wikidata":"https://www.wikidata.org/wiki/Q5058168","display_name":"Cell Transmission Model","level":3,"score":0.3626999855041504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3546000123023987},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3280999958515167},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.31360000371932983},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.29750001430511475},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.28029999136924744},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.26930001378059387},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.eswa.2025.130581","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2025.130581","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4875800412","display_name":null,"funder_award_id":"52072068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5677511410","display_name":null,"funder_award_id":"KYCX22_0286","funder_id":"https://openalex.org/F4320335769","funder_display_name":"Graduate Research and Innovation Projects of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335769","display_name":"Graduate Research and Innovation Projects of Jiangsu Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2032549372","https://openalex.org/W2037141248","https://openalex.org/W2146476739","https://openalex.org/W2462517933","https://openalex.org/W2616709668","https://openalex.org/W2769342467","https://openalex.org/W2901894411","https://openalex.org/W2914743966","https://openalex.org/W2928337941","https://openalex.org/W2967385518","https://openalex.org/W3096877845","https://openalex.org/W3123909522","https://openalex.org/W3138181334","https://openalex.org/W3168972368","https://openalex.org/W3195116950","https://openalex.org/W3203984526","https://openalex.org/W4200211358","https://openalex.org/W4206007985","https://openalex.org/W4214692098","https://openalex.org/W4226198606","https://openalex.org/W4226250924","https://openalex.org/W4226340276","https://openalex.org/W4285109022","https://openalex.org/W4285147743","https://openalex.org/W4287332260","https://openalex.org/W4321781541","https://openalex.org/W4384786224","https://openalex.org/W4386102052","https://openalex.org/W4387709413","https://openalex.org/W4387717708","https://openalex.org/W4388320480","https://openalex.org/W4396830720","https://openalex.org/W4399915881","https://openalex.org/W4401163496","https://openalex.org/W4401878929","https://openalex.org/W4402360275","https://openalex.org/W4414528725"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-11-28T00:00:00"}
