{"id":"https://openalex.org/W2823254041","doi":"https://doi.org/10.1109/siu.2018.8404705","title":"A neural network approach for predicting speeds on road networks","display_name":"A neural network approach for predicting speeds on road networks","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2823254041","doi":"https://doi.org/10.1109/siu.2018.8404705","mag":"2823254041"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2018.8404705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079271972","display_name":"Umut Can \u00c7akmak","orcid":"https://orcid.org/0000-0003-3444-4980"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Umut Can \u00c7akmak","raw_affiliation_strings":["M&#x00FC;hendislik ve Do&#x011F;a Bilimleri Fak&#x00FC;ltesi, Sabanc&#x0131; &#x00DC;niversitesi, &#x0130;stanbul, T&#x00FC;rkiye","Sabanci Universitesi, Istanbul, TR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"M&#x00FC;hendislik ve Do&#x011F;a Bilimleri Fak&#x00FC;ltesi, Sabanc&#x0131; &#x00DC;niversitesi, &#x0130;stanbul, T&#x00FC;rkiye","institution_ids":[]},{"raw_affiliation_string":"Sabanci Universitesi, Istanbul, TR","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030544686","display_name":"B\u00fclent \u00c7atay","orcid":"https://orcid.org/0000-0001-5950-3321"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"B\u00fclent \u00c7atay","raw_affiliation_strings":["M&#x00FC;hendislik ve Do&#x011F;a Bilimleri Fak&#x00FC;ltesi, Sabanc&#x0131; &#x00DC;niversitesi, &#x0130;stanbul, T&#x00FC;rkiye","Sabanci Universitesi, Istanbul, TR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"M&#x00FC;hendislik ve Do&#x011F;a Bilimleri Fak&#x00FC;ltesi, Sabanc&#x0131; &#x00DC;niversitesi, &#x0130;stanbul, T&#x00FC;rkiye","institution_ids":[]},{"raw_affiliation_string":"Sabanci Universitesi, Istanbul, TR","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022556437","display_name":"Mehmet Serkan Apayd\u0131n","orcid":"https://orcid.org/0000-0002-4707-8994"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehmet Serkan Apaydin","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul &#x015E;ehir &#x00DC;niversitesi, &#x0130;stanbul, T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul &#x015E;ehir &#x00DC;niversitesi, &#x0130;stanbul, T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7544809579849243},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7506859302520752},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.7052075862884521},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6317241191864014},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5531495809555054},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5004973411560059},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4366358816623688},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40025797486305237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38979488611221313},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37511882185935974},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36038661003112793},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09832367300987244},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06934338808059692},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06339088082313538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7544809579849243},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7506859302520752},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.7052075862884521},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6317241191864014},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5531495809555054},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5004973411560059},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4366358816623688},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40025797486305237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38979488611221313},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37511882185935974},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36038661003112793},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09832367300987244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06934338808059692},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06339088082313538},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":3,"locations":[{"id":"doi:10.1109/siu.2018.8404705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.sabanciuniv.edu:35107","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402254","display_name":"Sabanci University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134235054","host_organization_name":"Sabanc\u0131 \u00dcniversitesi","host_organization_lineage":["https://openalex.org/I134235054"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:earsiv.sehir.edu.tr:11498/55983","is_oa":false,"landing_page_url":"http://hdl.handle.net/11498/55983","pdf_url":null,"source":{"id":"https://openalex.org/S4306401684","display_name":"Istanbul \u015eehir University Institutional Repository (Istanbul \u015eehir University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13419840","host_organization_name":"Istanbul \u015eehir University","host_organization_lineage":["https://openalex.org/I13419840"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1811786169","https://openalex.org/W2040297119","https://openalex.org/W2046752641","https://openalex.org/W2109764844","https://openalex.org/W2111807801","https://openalex.org/W2557283755","https://openalex.org/W3216128714"],"related_works":["https://openalex.org/W3162200841","https://openalex.org/W2586280620","https://openalex.org/W2805505483","https://openalex.org/W2334071950","https://openalex.org/W2384744344","https://openalex.org/W4233932308","https://openalex.org/W1799694159","https://openalex.org/W2393169196","https://openalex.org/W2366610330","https://openalex.org/W4242143973"],"abstract_inverted_index":{"It":[0],"is":[1],"possible":[2],"for":[3],"routing":[4],"and":[5,12,29,124],"navigation":[6],"applications":[7],"to":[8,34,54,60,86],"provide":[9,55],"more":[10,13],"accurate":[11,129],"effective":[14],"route":[15],"planning":[16],"solutions":[17],"by":[18,80,106],"accurately":[19],"predicting":[20],"the":[21,44,50,77,93,119],"traffic":[22,46],"density":[23],"or":[24],"vehicle":[25],"speed.":[26],"Numerous":[27],"methods":[28,85],"approaches":[30],"have":[31,40],"been":[32],"studied":[33],"achieve":[35],"this":[36,66],"objective;":[37],"however,":[38],"they":[39],"mainly":[41],"focused":[42],"on":[43,102],"short-term":[45],"prediction.":[47],"In":[48,65,92],"addition,":[49],"studies":[51],"that":[52,126],"attempt":[53],"mid-and":[56,88],"long-term":[57,89],"predictions":[58,78,130],"tend":[59],"show":[61,125],"unacceptable":[62],"accuracy":[63],"levels.":[64],"study,":[67,95],"we":[68,96],"employ":[69],"Artificial":[70],"Neural":[71],"Networks":[72],"(ANN).":[73],"They":[74],"will":[75],"combine":[76],"made":[79],"various":[81],"time":[82,134],"series":[83],"forecasting":[84],"make":[87],"speed":[90,100],"predictions.":[91],"experimental":[94],"utilize":[97],"floating":[98],"car":[99],"data":[101],"two":[103],"routes":[104],"collected":[105],"GPS":[107],"devices":[108],"with":[109],"1-minute":[110],"intervals":[111],"over":[112,131],"a":[113,132],"five":[114],"month-period.":[115],"The":[116],"results":[117],"reveal":[118],"superior":[120],"performance":[121],"of":[122],"ANN":[123],"it":[127],"provides":[128],"30-minute":[133],"interval.":[135]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
