{"id":"https://openalex.org/W4379620514","doi":"https://doi.org/10.1109/jiot.2023.3283611","title":"A Novel Short-Term Traffic Prediction Model Based on SVD and ARIMA With Blockchain in Industrial Internet of Things","display_name":"A Novel Short-Term Traffic Prediction Model Based on SVD and ARIMA With Blockchain in Industrial Internet of Things","publication_year":2023,"publication_date":"2023-06-07","ids":{"openalex":"https://openalex.org/W4379620514","doi":"https://doi.org/10.1109/jiot.2023.3283611"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3283611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3283611","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/A5102975655","display_name":"Ying Miao","orcid":"https://orcid.org/0000-0002-7493-4522"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Miao","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0002-7493-4522","affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108893697","display_name":"Xiuhong Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136047","display_name":"Weifang University of Science and Technology","ror":"https://ror.org/04ha2bb10","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136047"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuhong Bai","raw_affiliation_strings":["Shandong Provincial University Laboratory for Protected Horticulture, Weifang University of Science and Technology, Shouguang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Provincial University Laboratory for Protected Horticulture, Weifang University of Science and Technology, Shouguang, China","institution_ids":["https://openalex.org/I4210136047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102810411","display_name":"Yuxuan Cao","orcid":"https://orcid.org/0009-0003-2350-6928"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Cao","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045110474","display_name":"Yuwen Liu","orcid":"https://orcid.org/0000-0002-4911-5744"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwen Liu","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-4911-5744","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001996145","display_name":"Fei Dai","orcid":"https://orcid.org/0000-0001-6469-357X"},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Dai","raw_affiliation_strings":["College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-6469-357X","affiliations":[{"raw_affiliation_string":"College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088784958","display_name":"Fan Wang","orcid":"https://orcid.org/0000-0002-0953-6923"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wang","raw_affiliation_strings":["College of Computer Science and Technolog, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0953-6923","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technolog, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101825932","display_name":"Lianyong Qi","orcid":"https://orcid.org/0000-0001-7746-4901"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianyong Qi","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0001-7746-4901","affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038791483","display_name":"Wanchun Dou","orcid":"https://orcid.org/0000-0003-4833-2023"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanchun Dou","raw_affiliation_strings":["Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4833-2023","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.3672,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.98924879,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"10","issue":"24","first_page":"21217","last_page":"21226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9796000123023987,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9749000072479248,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.8473950624465942},{"id":"https://openalex.org/keywords/blockchain","display_name":"Blockchain","score":0.8104956150054932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7518800497055054},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.687565267086029},{"id":"https://openalex.org/keywords/industrial-internet","display_name":"Industrial Internet","score":0.5832167863845825},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5577250719070435},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4828365445137024},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4502538740634918},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.38330918550491333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3515903949737549},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.3391073942184448},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1605149507522583},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14467331767082214}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.8473950624465942},{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.8104956150054932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7518800497055054},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.687565267086029},{"id":"https://openalex.org/C202839342","wikidata":"https://www.wikidata.org/wiki/Q60740481","display_name":"Industrial Internet","level":3,"score":0.5832167863845825},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5577250719070435},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4828365445137024},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4502538740634918},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.38330918550491333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3515903949737549},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3391073942184448},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1605149507522583},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14467331767082214},{"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/jiot.2023.3283611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3283611","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","id":"https://metadata.un.org/sdg/11","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G8449891818","display_name":null,"funder_award_id":"92267104","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":36,"referenced_works":["https://openalex.org/W204991446","https://openalex.org/W1663792126","https://openalex.org/W1975362087","https://openalex.org/W2002644193","https://openalex.org/W2024558842","https://openalex.org/W2039125651","https://openalex.org/W2132711183","https://openalex.org/W2255466643","https://openalex.org/W2281972242","https://openalex.org/W2560178266","https://openalex.org/W2572939427","https://openalex.org/W2901504064","https://openalex.org/W3022522270","https://openalex.org/W3024836211","https://openalex.org/W3115044086","https://openalex.org/W3159562992","https://openalex.org/W3164675724","https://openalex.org/W3202316976","https://openalex.org/W3202603867","https://openalex.org/W3214283706","https://openalex.org/W3217748719","https://openalex.org/W4205614512","https://openalex.org/W4206790491","https://openalex.org/W4206936436","https://openalex.org/W4220951298","https://openalex.org/W4224314467","https://openalex.org/W4225586447","https://openalex.org/W4287393709","https://openalex.org/W4289533944","https://openalex.org/W4292348156","https://openalex.org/W4292387463","https://openalex.org/W4293211913","https://openalex.org/W4293868472","https://openalex.org/W4299582138","https://openalex.org/W6606628390","https://openalex.org/W6787725836"],"related_works":["https://openalex.org/W3076529025","https://openalex.org/W3212933010","https://openalex.org/W3175321409","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W2215717369","https://openalex.org/W2146461990","https://openalex.org/W4312309719","https://openalex.org/W4391216528","https://openalex.org/W2980748541"],"abstract_inverted_index":{"With":[0],"the":[1,24,60,68,76,84,94,123,134,140,159],"construction":[2],"and":[3,9,29,52,102,108,132,142],"development":[4],"of":[5,26,79,144,161],"smart":[6],"cities,":[7],"accurate":[8],"real-time":[10,77],"traffic":[11,21,33,80,124,149],"prediction":[12,34],"plays":[13],"a":[14,38,89],"vital":[15],"role":[16],"in":[17,74,147],"urban":[18],"traffic.":[19],"However,":[20],"data":[22,51,65,131,155],"has":[23,35,66,72],"characteristics":[25],"nonlinearity,":[27],"nonstationary,":[28],"complex":[30],"structure,":[31],"so":[32,136],"always":[36],"been":[37],"challenging":[39],"problem.":[40],"The":[41,163],"traditional":[42],"statistical":[43],"model":[44,99,101,146],"is":[45],"good":[46],"at":[47,54],"dealing":[48,55],"with":[49,56],"linear":[50],"poor":[53],"nonlinear":[57,64],"data.":[58],"Although":[59],"ability":[61],"to":[62,121,129,138,157],"capture":[63],"improved,":[67],"deep":[69],"learning":[70],"approach":[71,91],"difficulty":[73],"meeting":[75],"requirements":[78],"prediction.":[81],"To":[82],"solve":[83],"above":[85],"challenges,":[86],"we":[87,152],"propose":[88],"novel":[90],"based":[92],"on":[93],"autoregressive":[95],"integrated":[96],"moving":[97],"average":[98],"(ARIMA)":[100],"combining":[103],"empirical":[104],"mode":[105],"decomposition":[106,111],"(EMD)":[107],"singular":[109],"value":[110],"(SVD)":[112],"technology,":[113],"i.e.,":[114],"ESARIMA.":[115,162],"This":[116],"method":[117,169],"first":[118],"uses":[119,127],"EMD":[120],"stabilize":[122],"data,":[125],"then":[126],"SVD":[128],"compress":[130],"reduce":[133],"noise,":[135],"as":[137],"improve":[139],"efficiency":[141],"accuracy":[143],"ARIMA":[145],"predicting":[148],"flow.":[150],"Finally,":[151],"use":[153],"real":[154],"sets":[156],"verify":[158],"feasibility":[160],"experimental":[164],"results":[165],"show":[166],"that":[167],"our":[168],"outperforms":[170],"state-of-the-art":[171],"baselines.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
