{"id":"https://openalex.org/W4312662322","doi":"https://doi.org/10.1109/bcd54882.2022.9900728","title":"Analysis of the Predictive Power of Highway Traffic Flow with Weather Conditions","display_name":"Analysis of the Predictive Power of Highway Traffic Flow with Weather Conditions","publication_year":2022,"publication_date":"2022-08-04","ids":{"openalex":"https://openalex.org/W4312662322","doi":"https://doi.org/10.1109/bcd54882.2022.9900728"},"language":"en","primary_location":{"id":"doi:10.1109/bcd54882.2022.9900728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bcd54882.2022.9900728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD)","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/A5110423937","display_name":"Minji Kang","orcid":"https://orcid.org/0009-0004-1847-1430"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Minji Kang","raw_affiliation_strings":["Soongsill Univ,Department of Professional Management,Seoul,South Korea","Department of Professional Management, Soongsill Univ, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Soongsill Univ,Department of Professional Management,Seoul,South Korea","institution_ids":["https://openalex.org/I141371507"]},{"raw_affiliation_string":"Department of Professional Management, Soongsill Univ, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010475977","display_name":"Hyeonju Park","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeonju Park","raw_affiliation_strings":["Soongsill Univ,Dept of IT Policy and Management,Seoul,South Korea","Dept of IT Policy and Management, Soongsill Univ, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Soongsill Univ,Dept of IT Policy and Management,Seoul,South Korea","institution_ids":["https://openalex.org/I141371507"]},{"raw_affiliation_string":"Dept of IT Policy and Management, Soongsill Univ, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037514057","display_name":"Chungku Han","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chungku Han","raw_affiliation_strings":["Soongsill Univ,Dept of IT Policy and Management,Seoul,South Korea","Dept of IT Policy and Management, Soongsill Univ, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Soongsill Univ,Dept of IT Policy and Management,Seoul,South Korea","institution_ids":["https://openalex.org/I141371507"]},{"raw_affiliation_string":"Dept of IT Policy and Management, Soongsill Univ, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072647016","display_name":"Gwang-Yong Gim","orcid":"https://orcid.org/0000-0002-6921-1071"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gwangyong Gim","raw_affiliation_strings":["Soongsil Univ.,Dept. of Business Administration,Seoul,South Korea","Dept. of Business Administration, Soongsil Univ., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Soongsil Univ.,Dept. of Business Administration,Seoul,South Korea","institution_ids":["https://openalex.org/I141371507"]},{"raw_affiliation_string":"Dept. of Business Administration, Soongsil Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110423937"],"corresponding_institution_ids":["https://openalex.org/I141371507"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14810591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9610999822616577,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.95169997215271,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.8019715547561646},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6530776023864746},{"id":"https://openalex.org/keywords/traffic-volume","display_name":"Traffic volume","score":0.653069019317627},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5396331548690796},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5272870659828186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46942049264907837},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.4294719099998474},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.41651293635368347},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.37662336230278015},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.2654536962509155},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21593743562698364},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16638138890266418},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09882700443267822},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07680925726890564}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.8019715547561646},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6530776023864746},{"id":"https://openalex.org/C168443057","wikidata":"https://www.wikidata.org/wiki/Q7001223","display_name":"Traffic volume","level":2,"score":0.653069019317627},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5396331548690796},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5272870659828186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46942049264907837},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.4294719099998474},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.41651293635368347},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.37662336230278015},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2654536962509155},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21593743562698364},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16638138890266418},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09882700443267822},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07680925726890564},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bcd54882.2022.9900728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bcd54882.2022.9900728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1586335931","https://openalex.org/W2064675550","https://openalex.org/W2892266123","https://openalex.org/W3085248027","https://openalex.org/W3108248184","https://openalex.org/W6755016640","https://openalex.org/W6787070474"],"related_works":["https://openalex.org/W2390482703","https://openalex.org/W757926711","https://openalex.org/W3141771572","https://openalex.org/W1535422121","https://openalex.org/W2143853213","https://openalex.org/W1509410003","https://openalex.org/W2791931166","https://openalex.org/W2048598777","https://openalex.org/W2376376438","https://openalex.org/W210698821"],"abstract_inverted_index":{"Traffic":[0],"systems":[1],"can":[2,17],"be":[3],"greatly":[4],"affected":[5],"by":[6],"factors":[7],"such":[8],"as":[9],"accidents":[10],"and":[11,25,45,52,67,74],"weather.":[12],"In":[13,27],"particular,":[14],"bad":[15],"weather":[16,39,53],"have":[18],"a":[19],"big":[20],"impact":[21],"on":[22],"travel":[23],"time":[24],"traffic":[26,35,50],"this":[28],"paper,":[29],"we":[30],"try":[31],"to":[32,38],"predict":[33],"the":[34,42,46,57],"volume":[36,51],"according":[37],"variables":[40],"using":[41,72],"ARIMA":[43],"model":[44],"LSTM":[47],"model.":[48],"For":[49],"data,":[54],"data":[55],"from":[56],"\"Siheung":[58],"TG":[59],"of":[60],"Seoul":[61],"Outer":[62],"Ring":[63],"Expressway\"":[64],"was":[65,70],"used,":[66],"performance":[68],"evaluation":[69],"performed":[71],"RMSE":[73],"MAPE.":[75]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}