{"id":"https://openalex.org/W3031239208","doi":"https://doi.org/10.1145/3383972.3384038","title":"A New Method for Short-term Traffic Flow Prediction Based on Multi-segments Features","display_name":"A New Method for Short-term Traffic Flow Prediction Based on Multi-segments Features","publication_year":2020,"publication_date":"2020-02-15","ids":{"openalex":"https://openalex.org/W3031239208","doi":"https://doi.org/10.1145/3383972.3384038","mag":"3031239208"},"language":"en","primary_location":{"id":"doi:10.1145/3383972.3384038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3384038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","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/A5101714644","display_name":"Yabo Wang","orcid":"https://orcid.org/0000-0002-6578-733X"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yabo Wang","raw_affiliation_strings":["Software School of Zhengzhou University, China"],"affiliations":[{"raw_affiliation_string":"Software School of Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111024066","display_name":"Shuning Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuning Xu","raw_affiliation_strings":["Software School of Zhengzhou University, China"],"affiliations":[{"raw_affiliation_string":"Software School of Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080879616","display_name":"Di Feng","orcid":"https://orcid.org/0000-0002-0964-9995"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Feng","raw_affiliation_strings":["Software School of Zhengzhou University, China"],"affiliations":[{"raw_affiliation_string":"Software School of Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101714644"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":0.8909,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72886996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"38"},"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":0.995199978351593,"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":0.9940999746322632,"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":0.7965821027755737},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7600294351577759},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.581885814666748},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5727274417877197},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5680978298187256},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5613009929656982},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5130166411399841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5015757083892822},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4853440821170807},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4724079966545105},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.464192271232605},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4374714493751526},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4165268540382385},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32529425621032715},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12291276454925537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7965821027755737},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7600294351577759},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.581885814666748},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5727274417877197},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5680978298187256},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5613009929656982},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5130166411399841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5015757083892822},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4853440821170807},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4724079966545105},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.464192271232605},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4374714493751526},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4165268540382385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32529425621032715},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12291276454925537},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3383972.3384038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3384038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W180185937","https://openalex.org/W626441390","https://openalex.org/W1970460434","https://openalex.org/W2082533141","https://openalex.org/W2083238230","https://openalex.org/W2131767615","https://openalex.org/W2139606794","https://openalex.org/W2259957090","https://openalex.org/W2573587735","https://openalex.org/W2593182953","https://openalex.org/W2885215126","https://openalex.org/W2892302657","https://openalex.org/W2916664939","https://openalex.org/W2955819484","https://openalex.org/W4241521163"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W2379407973","https://openalex.org/W4288388567","https://openalex.org/W4385335406"],"abstract_inverted_index":{"Short-term":[0],"traffic":[1,46,84],"flow":[2,16,47,85],"prediction":[3,129],"is":[4,17],"a":[5,25,35],"very":[6],"critical":[7],"part":[8],"of":[9,14,45,82,107,115],"intelligent":[10],"transportation.":[11],"The":[12],"data":[13,48],"Traffic":[15],"highly":[18],"nonlinear":[19],"and":[20,56,65,78,97,125],"complex,":[21],"so":[22],"it":[23],"has":[24,134],"great":[26],"challenge":[27],"to":[28,71,93,100,103],"accurately":[29],"predict":[30],"it.":[31],"This":[32,40],"paper":[33],"proposes":[34],"novel":[36],"multi-segments":[37],"network":[38],"MCGA.":[39],"model":[41,133],"describes":[42],"the":[43,74,90,95,101,105,113,116,131],"features":[44,77,81,96,102],"by":[49],"constructing":[50],"two":[51],"segments":[52,55],"including":[53],"recent":[54],"daily":[57],"segments,":[58],"moreover,":[59],"combines":[60],"Gated":[61],"Recurrent":[62],"Unit":[63],"(GRU)":[64],"one-dimensional":[66],"Convolutional":[67],"Neural":[68],"Networks":[69],"(CNN)":[70],"simultaneously":[72],"capture":[73],"time":[75,127],"domain":[76,80],"spatial":[79],"short-term":[83],"data.":[86,139],"It":[87],"also":[88],"uses":[89],"Attention":[91],"mechanism":[92],"fuse":[94],"assigns":[98],"weights":[99],"weaken":[104],"influence":[106],"irrelevant":[108],"factors,":[109],"which":[110],"greatly":[111],"enhances":[112],"robustness":[114],"model.":[117],"Experiments":[118],"show":[119],"that":[120],"compared":[121],"with":[122],"GRU,":[123],"LSTM":[124],"other":[126],"series":[128],"models,":[130],"MGCA":[132],"better":[135],"performance":[136],"in":[137],"real":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}