{"id":"https://openalex.org/W3081964706","doi":"https://doi.org/10.1155/2020/2413564","title":"Numerical Calibration Method for Vehicle Velocity Data from Electronic Registration Identification of Motor Vehicles Based on Mobile Edge Computing and Particle Swarm Optimization Neural Network","display_name":"Numerical Calibration Method for Vehicle Velocity Data from Electronic Registration Identification of Motor Vehicles Based on Mobile Edge Computing and Particle Swarm Optimization Neural Network","publication_year":2020,"publication_date":"2020-08-30","ids":{"openalex":"https://openalex.org/W3081964706","doi":"https://doi.org/10.1155/2020/2413564","mag":"3081964706"},"language":"en","primary_location":{"id":"doi:10.1155/2020/2413564","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/2413564","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/2413564.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2020/2413564.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044671587","display_name":"Jingfeng Yang","orcid":"https://orcid.org/0000-0002-3682-1666"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfeng Yang","raw_affiliation_strings":["Shenyang Institute of Automation (Guangzhou) Chinese Academy of Sciences, Guangzhou 511458, China","Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang 110016, China"],"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation (Guangzhou) Chinese Academy of Sciences, Guangzhou 511458, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034583553","display_name":"Zhiyong Luo","orcid":"https://orcid.org/0000-0002-4084-4027"},"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":"Zhiyong Luo","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-Sen University, Guangzhou 510006, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-Sen University, Guangzhou 510006, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023816347","display_name":"Nanfeng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102827","display_name":"Shanghai Customs College","ror":"https://ror.org/01agvej60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanfeng Zhang","raw_affiliation_strings":["Technical Center of Huangpu Customs District China, Guangzhou 510730, China"],"affiliations":[{"raw_affiliation_string":"Technical Center of Huangpu Customs District China, Guangzhou 510730, China","institution_ids":["https://openalex.org/I4210102827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102959982","display_name":"Honggang Wang","orcid":"https://orcid.org/0000-0003-4525-1148"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honggang Wang","raw_affiliation_strings":["School of Communications and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710061, China"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710061, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101476851","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-2671-5886"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Li","raw_affiliation_strings":["South China Agricultural University, Guangzhou 510642, China","Yaz Technology Co., Ltd., Guangzhou 510630, China"],"affiliations":[{"raw_affiliation_string":"South China Agricultural University, Guangzhou 510642, China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"Yaz Technology Co., Ltd., Guangzhou 510630, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045223236","display_name":"Jinchao Xiao","orcid":"https://orcid.org/0000-0002-8391-5075"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinchao Xiao","raw_affiliation_strings":["Shenyang Institute of Automation (Guangzhou) Chinese Academy of Sciences, Guangzhou 511458, China","Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang 110016, China"],"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation (Guangzhou) Chinese Academy of Sciences, Guangzhou 511458, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5045223236","https://openalex.org/A5101476851"],"corresponding_institution_ids":["https://openalex.org/I101479585","https://openalex.org/I142078773","https://openalex.org/I19820366"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.4072,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64099554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9986000061035156,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6980593204498291},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6976131200790405},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5479585528373718},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5064386129379272},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.484578013420105},{"id":"https://openalex.org/keywords/dc-motor","display_name":"DC motor","score":0.44449248909950256},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3733401894569397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3681618571281433},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3671342134475708},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33960986137390137},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2014920711517334},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20002883672714233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6980593204498291},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6976131200790405},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5479585528373718},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5064386129379272},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.484578013420105},{"id":"https://openalex.org/C76684090","wikidata":"https://www.wikidata.org/wiki/Q3842034","display_name":"DC motor","level":2,"score":0.44449248909950256},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3733401894569397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3681618571281433},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3671342134475708},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33960986137390137},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2014920711517334},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20002883672714233},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1155/2020/2413564","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/2413564","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/2413564.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:2413564","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2020/2413564.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:dfca553c48bf420bac774c983ed3cb92","is_oa":true,"landing_page_url":"https://doaj.org/article/dfca553c48bf420bac774c983ed3cb92","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2020 (2020)","raw_type":"article"},{"id":"pmh:oai:ir.sia.cn/:173321/27933","is_oa":false,"landing_page_url":"http://ir.sia.cn/handle/173321/27933","pdf_url":null,"source":{"id":"https://openalex.org/S4377196984","display_name":"SIA OpenIR (Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I19820366","host_organization_name":"Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I19820366"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":{"id":"doi:10.1155/2020/2413564","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/2413564","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/2413564.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1238910806","display_name":null,"funder_award_id":"2018YFB2003500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2098831178","display_name":null,"funder_award_id":"2018YFB1700200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3559485746","display_name":null,"funder_award_id":"2017YFD0700602","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3816957783","display_name":null,"funder_award_id":"B17002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4499398994","display_name":null,"funder_award_id":"2017YFD07006","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G466649759","display_name":null,"funder_award_id":"2017Y","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6753237130","display_name":null,"funder_award_id":"20035","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7340253069","display_name":null,"funder_award_id":"2018ZDXM-GY-041","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7467985626","display_name":null,"funder_award_id":"2018YFB170020","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8340078520","display_name":null,"funder_award_id":"2017YF","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3081964706.pdf","grobid_xml":"https://content.openalex.org/works/W3081964706.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1965392777","https://openalex.org/W1968644670","https://openalex.org/W2063375245","https://openalex.org/W2071694551","https://openalex.org/W2105511939","https://openalex.org/W2153272405","https://openalex.org/W2165626989","https://openalex.org/W2592597155","https://openalex.org/W2788488009","https://openalex.org/W2883972132","https://openalex.org/W2896005966","https://openalex.org/W2909552575","https://openalex.org/W2998137241","https://openalex.org/W3003254971","https://openalex.org/W3005524158","https://openalex.org/W3016060543"],"related_works":["https://openalex.org/W3019402777","https://openalex.org/W4386596916","https://openalex.org/W1515319340","https://openalex.org/W2031835531","https://openalex.org/W2388590088","https://openalex.org/W1969166468","https://openalex.org/W2116377213","https://openalex.org/W2357831471","https://openalex.org/W2122371747","https://openalex.org/W2069224524"],"abstract_inverted_index":{"In":[0],"the":[1,8,36,57,60,63,66,69,71,75,79,82,96,101,111,121,125,134,163,172,186,192,204,210,221,227,230,243],"development":[2],"of":[3,12,24,35,51,62,68,74,81,103,124,133,174,181,190,203,232],"technology":[4],"for":[5,41,88,106,120,207,250],"smart":[6,25],"cities,":[7],"installation":[9,72],"and":[10,78,86,140,162,201,262],"deployment":[11],"electronic":[13,48,89,178,222],"motor":[14,42,52,90,182],"vehicle":[15,91,223,264],"registration":[16,49,92,179,228],"identification":[17,50,93,180],"have":[18],"attracted":[19],"great":[20],"attention":[21],"in":[22,27,95,209,235,252],"terms":[23],"transportation":[26],"recent":[28],"years.":[29],"Vehicle":[30],"velocity":[31,45,104,127,138,175,224,233],"measurement":[32],"is":[33,54],"one":[34],"fundamental":[37],"data":[38,193,205],"collection":[39],"efforts":[40],"vehicles.":[43,183],"The":[44,84,152],"detection":[46,58,105,176,234],"using":[47,177],"vehicles":[53,208],"constrained":[55],"by":[56],"algorithm,":[59],"material":[61],"automobile":[64,126],"windshield,":[65],"placement":[67],"decals,":[70],"method":[73,119,154,244],"signal":[76],"reader,":[77],"angle":[80],"antenna.":[83],"software":[85],"hardware":[87],"produced":[94],"standard":[97],"manner":[98],"cannot":[99],"meet":[100],"accuracy":[102,173,231],"all":[107,191],"scenarios.":[108],"Based":[109],"on":[110,130,142,157,226],"actual":[112,187],"application":[113,237,251],"requirements,":[114],"we":[115],"propose":[116],"a":[117,143,158],"calibration":[118],"numerical":[122],"output":[123],"detector":[128],"based":[129,141,225],"edge":[131],"computing":[132],"optimized":[135],"multiple":[136],"reader/writer":[137],"values":[139],"particle":[144],"swarm-optimized":[145],"radial":[146],"basis":[147],"function":[148],"(RBF)":[149],"neural":[150],"network.":[151],"proposed":[153],"was":[155],"tested":[156],"two-way":[159],"eight-lane":[160],"road,":[161],"test":[164],"results":[165],"showed":[166],"that":[167],"it":[168],"can":[169,239,245],"effectively":[170],"improve":[171],"Compared":[184],"with":[185],"velocity,":[188],"87.12%":[189],"samples":[194,206],"had":[195,213],"an":[196,214,247],"error":[197,215],"less":[198,216],"than":[199,217],"5%,":[200],"91.76%":[202],"center":[211],"lane":[212],"5%.":[218],"By":[219],"calibrating":[220],"identification,":[229],"different":[236],"environments":[238],"be":[240],"improved.":[241],"Moreover,":[242],"establish":[246],"accurate":[248],"foundation":[249],"traffic":[253,258,265],"flow":[254],"management,":[255],"environmental":[256],"protection,":[257],"congestion":[259],"fee":[260],"collection,":[261],"special":[263],"management.":[266]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
