{"id":"https://openalex.org/W2765131567","doi":"https://doi.org/10.1007/s41019-017-0048-y","title":"Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting","display_name":"Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2765131567","doi":"https://doi.org/10.1007/s41019-017-0048-y","mag":"2765131567"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-017-0048-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-017-0048-y","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41019-017-0048-y.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs41019-017-0048-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079256075","display_name":"Amr Abdullatif","orcid":"https://orcid.org/0000-0003-1801-4673"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Amr Abdullatif","raw_affiliation_strings":["DIBRIS - Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Via Dodecaneso 35, 16146, Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIBRIS - Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Via Dodecaneso 35, 16146, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078310289","display_name":"Francesco Masulli","orcid":"https://orcid.org/0000-0002-6612-0932"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]},{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Francesco Masulli","raw_affiliation_strings":["DIBRIS - Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Via Dodecaneso 35, 16146, Genoa, Italy","Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, Temple University, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIBRIS - Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Via Dodecaneso 35, 16146, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042789365","display_name":"Stefano Rovetta","orcid":"https://orcid.org/0000-0003-3865-2613"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Rovetta","raw_affiliation_strings":["DIBRIS - Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Via Dodecaneso 35, 16146, Genoa, Italy"],"raw_orcid":"https://orcid.org/0000-0003-3865-2613","affiliations":[{"raw_affiliation_string":"DIBRIS - Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Via Dodecaneso 35, 16146, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079256075"],"corresponding_institution_ids":["https://openalex.org/I83816512"],"apc_list":{"value":1290,"currency":"USD","value_usd":1290},"apc_paid":{"value":1290,"currency":"USD","value_usd":1290},"fwci":1.8018,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84419253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2","issue":"3","first_page":"210","last_page":"223"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9968000054359436,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.8230171799659729},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6586186289787292},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6278761029243469},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6272763013839722},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6246645450592041},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5672159194946289},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5647783875465393},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.5182018876075745},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.45478925108909607},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4126168489456177},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3336518406867981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23529401421546936},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09053981304168701}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230171799659729},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6586186289787292},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6278761029243469},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6272763013839722},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6246645450592041},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5672159194946289},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5647783875465393},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.5182018876075745},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.45478925108909607},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4126168489456177},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3336518406867981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23529401421546936},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09053981304168701},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s41019-017-0048-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-017-0048-y","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41019-017-0048-y.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:bradscholars.brad.ac.uk:10454/17598","is_oa":true,"landing_page_url":"http://hdl.handle.net/10454/17598","pdf_url":null,"source":{"id":"https://openalex.org/S4306401846","display_name":"Bradford Scholars (University of Bradford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139894009","host_organization_name":"University of Bradford","host_organization_lineage":["https://openalex.org/I139894009"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:8efa6aa78a5a40ffa916cd791881a756","is_oa":true,"landing_page_url":"https://doaj.org/article/8efa6aa78a5a40ffa916cd791881a756","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science and Engineering, Vol 2, Iss 3, Pp 210-223 (2017)","raw_type":"article"},{"id":"pmh:oai:iris.unige.it:11567/885688","is_oa":true,"landing_page_url":"http://hdl.handle.net/11567/885688","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s41019-017-0048-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-017-0048-y","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41019-017-0048-y.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320366","display_name":"European Cooperation in Science and Technology","ror":"https://ror.org/01bstzn19"},{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2765131567.pdf","grobid_xml":"https://content.openalex.org/works/W2765131567.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W41415572","https://openalex.org/W1575097427","https://openalex.org/W1673310716","https://openalex.org/W1799155143","https://openalex.org/W1869778509","https://openalex.org/W1948722404","https://openalex.org/W1972340269","https://openalex.org/W1975081465","https://openalex.org/W1982039810","https://openalex.org/W1988489815","https://openalex.org/W1991515142","https://openalex.org/W1994616650","https://openalex.org/W1999038366","https://openalex.org/W2006636107","https://openalex.org/W2008316021","https://openalex.org/W2013050169","https://openalex.org/W2036785686","https://openalex.org/W2038185705","https://openalex.org/W2040297119","https://openalex.org/W2040704490","https://openalex.org/W2045036792","https://openalex.org/W2058063871","https://openalex.org/W2073243777","https://openalex.org/W2077096052","https://openalex.org/W2077466428","https://openalex.org/W2085033136","https://openalex.org/W2087952713","https://openalex.org/W2088220893","https://openalex.org/W2091091431","https://openalex.org/W2095897464","https://openalex.org/W2096390285","https://openalex.org/W2105760988","https://openalex.org/W2113076747","https://openalex.org/W2118211060","https://openalex.org/W2120688485","https://openalex.org/W2122646361","https://openalex.org/W2123706197","https://openalex.org/W2125817951","https://openalex.org/W2125836384","https://openalex.org/W2126626732","https://openalex.org/W2127856486","https://openalex.org/W2127983758","https://openalex.org/W2131819535","https://openalex.org/W2139691084","https://openalex.org/W2140190241","https://openalex.org/W2144342293","https://openalex.org/W2145856394","https://openalex.org/W2150884987","https://openalex.org/W2155352808","https://openalex.org/W2158038039","https://openalex.org/W2159010948","https://openalex.org/W2159239469","https://openalex.org/W2161266580","https://openalex.org/W2162217115","https://openalex.org/W2170936641","https://openalex.org/W2186428165","https://openalex.org/W2556404926","https://openalex.org/W3124661333","https://openalex.org/W4237219250","https://openalex.org/W4241336979","https://openalex.org/W4299429830"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W3190734578","https://openalex.org/W1595351371","https://openalex.org/W91065195","https://openalex.org/W3191523773","https://openalex.org/W2964556660"],"abstract_inverted_index":{"Data":[0],"streams":[1],"have":[2],"arisen":[3],"as":[4,13,113,122,140],"a":[5,106,114,156,158,164,175,180,209],"relevant":[6],"topic":[7],"during":[8],"the":[9,24,67,72,76,102,110,125,143,200],"last":[10],"few":[11],"years":[12],"an":[14,54,88,141,151,196],"efficient":[15],"method":[16],"for":[17,34,96,163],"extracting":[18],"knowledge":[19],"from":[20],"big":[21],"data.":[22],"In":[23,66,109],"robust":[25],"layered":[26],"ensemble":[27,89],"model":[28,60,171,194],"(RLEM)":[29],"proposed":[30,169],"in":[31,50,150,154,230],"this":[32,155],"paper":[33],"short-term":[35,97,165],"traffic":[36,40,98,118,161,181,189,201,214,231],"flow":[37,41,99,119,162,182,190,202,232],"forecasting,":[38],"incoming":[39],"data":[42,120,177,183,191],"of":[43,63,90,93,117,145,160,199,219],"all":[44,130,146],"connected":[45],"road":[46],"links":[47],"are":[48,132,148],"organized":[49],"chunks":[51,73,103],"corresponding":[52],"to":[53,105,124,129,212],"optimal":[55],"time":[56,166],"lag.":[57],"The":[58,81,168,193],"RLEM":[59,170,225],"is":[61,84,137,172],"composed":[62],"two":[64,187],"layers.":[65],"first":[68],"layer,":[69],"we":[70],"cluster":[71],"by":[74,87],"using":[75],"Graded":[77],"Possibilistic":[78],"c-Means":[79],"method.":[80],"second":[82],"layer":[83],"made":[85],"up":[86],"forecasters,":[91],"each":[92],"them":[94],"trained":[95],"forecasting":[100,159,198],"on":[101,174,179,186],"belonging":[104],"specific":[107],"cluster.":[108],"operational":[111],"phase,":[112],"new":[115],"chunk":[116],"presented":[121],"input":[123],"RLEM,":[126],"its":[127,217],"memberships":[128],"clusters":[131],"evaluated,":[133],"and":[134,185,207,223],"if":[135],"it":[136],"not":[138],"recognized":[139],"outlier,":[142],"outputs":[144],"forecasters":[147],"combined":[149],"ensemble,":[152],"obtaining":[153],"way":[157],"horizon.":[167],"evaluated":[173],"synthetic":[176],"set,":[178],"simulator":[184],"real-world":[188],"sets.":[192],"gives":[195],"accurate":[197],"rates":[203],"with":[204],"outlier":[205,220],"detection":[206],"shows":[208],"good":[210],"adaptation":[211],"non-stationary":[213],"regimes.":[215],"Given":[216],"characteristics":[218],"detection,":[221],"accuracy,":[222],"robustness,":[224],"can":[226],"be":[227],"fruitfully":[228],"integrated":[229],"management":[233],"systems.":[234]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
