{"id":"https://openalex.org/W3106711908","doi":"https://doi.org/10.1109/icce-taiwan49838.2020.9258274","title":"A Probability-Based Analytical Model Based on Deep Learning for Traffic Information Estimation","display_name":"A Probability-Based Analytical Model Based on Deep Learning for Traffic Information Estimation","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3106711908","doi":"https://doi.org/10.1109/icce-taiwan49838.2020.9258274","mag":"3106711908"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan49838.2020.9258274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan49838.2020.9258274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","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/A5079918079","display_name":"Zhaoshan Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaoshan Sun","raw_affiliation_strings":["Fujian University of Technology, Fuzhou City, Fujian Province, China"],"affiliations":[{"raw_affiliation_string":"Fujian University of Technology, Fuzhou City, Fujian Province, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019810689","display_name":"Jeng\u2010Shyang Pan","orcid":"https://orcid.org/0000-0002-3128-9025"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jeng-Shyang Pan","raw_affiliation_strings":["Shandong University of Science and Technology, Qingdao City, Shandong Province, China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao City, Shandong Province, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065077361","display_name":"Chi\u2010Hua Chen","orcid":"https://orcid.org/0000-0001-7668-7425"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi-Hua Chen","raw_affiliation_strings":["Fuzhou University, Fuzhou City, Fujian Province, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou City, Fujian Province, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077673436","display_name":"Tsu\u2010Yang Wu","orcid":"https://orcid.org/0000-0001-8970-2452"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tsu-Yang Wu","raw_affiliation_strings":["Shandong University of Science and Technology, Qingdao City, Shandong Province, China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology, Qingdao City, Shandong Province, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079918079"],"corresponding_institution_ids":["https://openalex.org/I83791580"],"apc_list":null,"apc_paid":null,"fwci":0.1273,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50575987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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":0.9968000054359436,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9886999726295471,"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/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.7078880667686462},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.7068333029747009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6607677340507507},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.5936444401741028},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.5527809262275696},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.45125189423561096},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43497195839881897},{"id":"https://openalex.org/keywords/traffic-speed","display_name":"Traffic speed","score":0.42736756801605225},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3489767909049988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33651459217071533},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32628506422042847},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2534365653991699},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.18971818685531616},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18077176809310913},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.17513447999954224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.158180832862854},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0769689679145813}],"concepts":[{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.7078880667686462},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.7068333029747009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6607677340507507},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.5936444401741028},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.5527809262275696},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.45125189423561096},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43497195839881897},{"id":"https://openalex.org/C2993660032","wikidata":"https://www.wikidata.org/wiki/Q746984","display_name":"Traffic speed","level":2,"score":0.42736756801605225},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3489767909049988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33651459217071533},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32628506422042847},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2534365653991699},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.18971818685531616},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18077176809310913},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.17513447999954224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.158180832862854},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0769689679145813},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan49838.2020.9258274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan49838.2020.9258274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G364079961","display_name":null,"funder_award_id":"61872085,61906043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G754157017","display_name":null,"funder_award_id":"2018Y3001","funder_id":"https://openalex.org/F4320323190","funder_display_name":"Fujian Provincial Department of Science and Technology"},{"id":"https://openalex.org/G939864048","display_name":null,"funder_award_id":"2018J01638","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320323190","display_name":"Fujian Provincial Department of Science and Technology","ror":"https://ror.org/00rgzpv08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2262649918","https://openalex.org/W2985684113"],"related_works":["https://openalex.org/W63219142","https://openalex.org/W1570464650","https://openalex.org/W1528820368","https://openalex.org/W2187148935","https://openalex.org/W1569550976","https://openalex.org/W2543710962","https://openalex.org/W2043285515","https://openalex.org/W1937731701","https://openalex.org/W2047739511","https://openalex.org/W2061808167"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,26,70],"probability":[4],"density":[5,72,81,110],"function":[6],"model":[7],"based":[8,31],"on":[9,32],"deep":[10,33],"learning":[11,34],"to":[12,37,56,77],"analyze":[13],"the":[14,17,44,63,79,85,90,96,101],"relationships":[15],"between":[16],"number":[18,45,64],"of":[19,46,65,103],"call":[20,47],"arrivals":[21],"and":[22,89,107,113],"vehicle":[23,27,39,87,105],"speed.":[24],"Furthermore,":[25],"speed":[28,40,88,106],"estimation":[29,52,73],"method":[30,53,74],"is":[35,54,75],"proposed":[36,55,76],"estimate":[38,57,78],"in":[41,60,82],"accordance":[42,61,83],"with":[43,62,84],"arrivals.":[48],"A":[49],"traffic":[50,58,71,80,92,109],"flow":[51,59],"normal":[66],"location":[67],"updates.":[68],"Finally,":[69],"estimated":[86,91,104,108],"flow.":[93],"In":[94],"experiments,":[95],"simulation":[97],"results":[98],"showed":[99],"that":[100],"accuracies":[102],"are":[111],"96.36%":[112],"96.45%,":[114],"respectively.":[115]},"counts_by_year":[{"year":2024,"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"}