{"id":"https://openalex.org/W2626818931","doi":"https://doi.org/10.1109/jiot.2017.2716114","title":"Data Driven Congestion Trends Prediction of Urban Transportation","display_name":"Data Driven Congestion Trends Prediction of Urban Transportation","publication_year":2017,"publication_date":"2017-06-15","ids":{"openalex":"https://openalex.org/W2626818931","doi":"https://doi.org/10.1109/jiot.2017.2716114","mag":"2626818931"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2017.2716114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2017.2716114","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","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/A5023100177","display_name":"Rui Jia","orcid":"https://orcid.org/0000-0002-9143-6541"},"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":true,"raw_author_name":"Rui Jia","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-9143-6541","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056422741","display_name":"Pengcheng Jiang","orcid":"https://orcid.org/0000-0002-2696-5017"},"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":"Pengcheng Jiang","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110936835","display_name":"Lei Liu","orcid":"https://orcid.org/0009-0005-9457-683X"},"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":"Lei Liu","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414718","display_name":"Lizhen Cui","orcid":"https://orcid.org/0000-0002-8262-8883"},"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":"Lizhen Cui","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063237141","display_name":"Yuliang Shi","orcid":"https://orcid.org/0000-0002-1824-4244"},"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":"Yuliang Shi","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023100177"],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":null,"apc_paid":null,"fwci":4.4817,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.93903622,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"5","issue":"2","first_page":"581","last_page":"591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9818000197410583,"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":0.9592000246047974,"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/computer-science","display_name":"Computer science","score":0.7680940628051758},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.7139856219291687},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.6583982110023499},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5365111827850342},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5257535576820374},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4916585087776184},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.4735493063926697},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4285949170589447},{"id":"https://openalex.org/keywords/network-traffic-control","display_name":"Network traffic control","score":0.419950395822525},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.28716129064559937},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2725011110305786},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11293661594390869}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7680940628051758},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.7139856219291687},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.6583982110023499},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5365111827850342},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5257535576820374},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4916585087776184},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.4735493063926697},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4285949170589447},{"id":"https://openalex.org/C201100257","wikidata":"https://www.wikidata.org/wiki/Q393287","display_name":"Network traffic control","level":3,"score":0.419950395822525},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.28716129064559937},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2725011110305786},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11293661594390869},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2017.2716114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2017.2716114","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G7162284950","display_name":null,"funder_award_id":"61402262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8138644163","display_name":null,"funder_award_id":"61572295","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W586768387","https://openalex.org/W1540101265","https://openalex.org/W1965496627","https://openalex.org/W2006368361","https://openalex.org/W2036785686","https://openalex.org/W2059804518","https://openalex.org/W2085569158","https://openalex.org/W2112228497","https://openalex.org/W2116202070","https://openalex.org/W2116300222","https://openalex.org/W2117014758","https://openalex.org/W2126053020","https://openalex.org/W2133292407","https://openalex.org/W2147329275","https://openalex.org/W2160950419","https://openalex.org/W2169090433","https://openalex.org/W2191329106","https://openalex.org/W2209832711","https://openalex.org/W2240807109","https://openalex.org/W2280206383","https://openalex.org/W2325932209","https://openalex.org/W2338694366","https://openalex.org/W2341256628","https://openalex.org/W2383431414","https://openalex.org/W2391134196","https://openalex.org/W2492769854","https://openalex.org/W2556216103","https://openalex.org/W4246483956","https://openalex.org/W6659849045","https://openalex.org/W6688197627","https://openalex.org/W7015551404","https://openalex.org/W7020764460"],"related_works":["https://openalex.org/W2161957991","https://openalex.org/W1991392756","https://openalex.org/W2077900203","https://openalex.org/W3117279048","https://openalex.org/W2945875309","https://openalex.org/W2972320057","https://openalex.org/W2898775471","https://openalex.org/W4386289889","https://openalex.org/W2895639930","https://openalex.org/W2349170266"],"abstract_inverted_index":{"Smart":[0],"traffic":[1,11,23,32,64,122,155,185],"prediction":[2],"system":[3,17,66,72,115,158],"provides":[4],"significant":[5],"benefits":[6],"in":[7,129],"solving":[8],"the":[9,31,40,78,90,106,111,120,126,133,151,157,164],"city":[10],"congestion.":[12,191],"However,":[13],"existing":[14],"smart":[15,63],"transportation":[16],"needs":[18],"a":[19,51,62,100],"lot":[20],"of":[21,103,118,153],"real-time":[22,85,121,154],"data":[24,41,86,123],"and":[25,48,83,93,97,109,144,161,167,177,187],"accurate":[26],"location":[27,146],"information":[28],"to":[29,45,81,137,183],"display":[30],"condition.":[33],"We":[34],"hope":[35],"that":[36],"we":[37,131],"can":[38,159],"use":[39,77],"which":[42,180],"is":[43,116],"easy":[44],"be":[46],"obtained,":[47],"then":[49],"predict":[50,110],"reliable":[52,170],"congestion":[53,112,127,165],"time.":[54],"To":[55],"address":[56],"this":[57,59],"problem,":[58],"paper":[60],"studied":[61],"forecasting":[65],"based":[67],"on":[68],"SWARIMA":[69,91],"model.":[70],"The":[71],"includes":[73],"three":[74,138,169],"steps:":[75],"1)":[76,140,173],"sliding":[79],"windows":[80],"calculate":[82,105,163],"process":[84],"stream;":[87],"2)":[88,142,175],"establish":[89],"model":[92],"make":[94],"regression":[95],"analysis;":[96],"3)":[98,145,178],"from":[99],"statistical":[101],"point":[102],"view,":[104],"elastic":[107,171],"interval":[108],"trend.":[113],"Our":[114],"capable":[117],"accepting":[119],"stream":[124],"for":[125],"prediction,":[128],"addition,":[130],"reduce":[132],"actual":[134],"running":[135],"parameters":[136],"attributes:":[139],"speed;":[141],"time;":[143],"information.":[147],"When":[148],"faced":[149],"with":[150],"challenges":[152],"congestion,":[156],"timely":[160],"effectively":[162],"trends":[166],"provide":[168],"intervals:":[172],"warning;":[174],"congestion;":[176],"mitigation,":[179],"has":[181],"significance":[182],"improve":[184],"condition":[186],"alleviate":[188],"urban":[189],"road":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":4}],"updated_date":"2026-06-02T09:04:35.204637","created_date":"2025-10-10T00:00:00"}