{"id":"https://openalex.org/W4408056753","doi":"https://doi.org/10.1142/s0218194025500159","title":"Deep Neural Networks for Traffic Flow Estimation for Spatial\u2013Temporal DOMAIN","display_name":"Deep Neural Networks for Traffic Flow Estimation for Spatial\u2013Temporal DOMAIN","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W4408056753","doi":"https://doi.org/10.1142/s0218194025500159"},"language":"en","primary_location":{"id":"doi:10.1142/s0218194025500159","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194025500159","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","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/A5086790831","display_name":"Ahmet E. Topcu","orcid":"https://orcid.org/0000-0003-1929-5358"},"institutions":[{"id":"https://openalex.org/I2803079837","display_name":"American University of the Middle East","ror":"https://ror.org/02gqgne03","country_code":"KW","type":"education","lineage":["https://openalex.org/I2803079837"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Ahmet E. Topcu","raw_affiliation_strings":["College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait"],"raw_orcid":"https://orcid.org/0000-0003-1929-5358","affiliations":[{"raw_affiliation_string":"College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait","institution_ids":["https://openalex.org/I2803079837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075941954","display_name":"Yehia Ibrahim Alzoubi","orcid":"https://orcid.org/0000-0003-4329-4072"},"institutions":[{"id":"https://openalex.org/I2803079837","display_name":"American University of the Middle East","ror":"https://ror.org/02gqgne03","country_code":"KW","type":"education","lineage":["https://openalex.org/I2803079837"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Yehia Ibrahim Alzoubi","raw_affiliation_strings":["College of Business Administration, American University of the Middle East, Egaila 54200, Kuwait"],"raw_orcid":"https://orcid.org/0000-0003-4329-4072","affiliations":[{"raw_affiliation_string":"College of Business Administration, American University of the Middle East, Egaila 54200, Kuwait","institution_ids":["https://openalex.org/I2803079837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001816984","display_name":"Ersin Elba\u015f\u0131","orcid":"https://orcid.org/0000-0002-8603-1435"},"institutions":[{"id":"https://openalex.org/I2803079837","display_name":"American University of the Middle East","ror":"https://ror.org/02gqgne03","country_code":"KW","type":"education","lineage":["https://openalex.org/I2803079837"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Ersin Elbasi","raw_affiliation_strings":["College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait"],"raw_orcid":"https://orcid.org/0000-0002-8603-1435","affiliations":[{"raw_affiliation_string":"College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait","institution_ids":["https://openalex.org/I2803079837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038126655","display_name":"Erdem \u00d6zdemir","orcid":"https://orcid.org/0000-0002-1349-843X"},"institutions":[{"id":"https://openalex.org/I4210150808","display_name":"Ankara Y\u0131ld\u0131r\u0131m Beyaz\u0131t University","ror":"https://ror.org/05ryemn72","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210150808"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erdem Ozdemir","raw_affiliation_strings":["Computer Engineering Department, Yildirim Beyazit University, Ankara 06100, T\u00fcrkiye"],"raw_orcid":"https://orcid.org/0000-0002-1349-843X","affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Yildirim Beyazit University, Ankara 06100, T\u00fcrkiye","institution_ids":["https://openalex.org/I4210150808"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8445,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82490575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"35","issue":"04","first_page":"547","last_page":"567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9976999759674072,"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":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6747789978981018},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5444056987762451},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5123868584632874},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5086284875869751},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.498748779296875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45583394169807434},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4005492329597473},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32578757405281067},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17055630683898926},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1471603512763977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11567133665084839}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6747789978981018},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5444056987762451},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5123868584632874},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5086284875869751},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.498748779296875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45583394169807434},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4005492329597473},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32578757405281067},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17055630683898926},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1471603512763977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11567133665084839},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0218194025500159","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194025500159","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","raw_type":"journal-article"},{"id":"pmh:887aaee6-dfd1-46cb-8dc8-80c04af0da4d","is_oa":false,"landing_page_url":"https://avesis.aybu.edu.tr/publication/details/887aaee6-dfd1-46cb-8dc8-80c04af0da4d/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055213","display_name":"AYBU AVESIS","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1970088388","https://openalex.org/W1992282307","https://openalex.org/W2064675550","https://openalex.org/W2076063813","https://openalex.org/W2106545483","https://openalex.org/W2527617741","https://openalex.org/W2572939427","https://openalex.org/W2605264395","https://openalex.org/W2740570963","https://openalex.org/W2762582125","https://openalex.org/W2793872863","https://openalex.org/W2808721728","https://openalex.org/W2900207796","https://openalex.org/W2921422022","https://openalex.org/W2964933785","https://openalex.org/W2972806659","https://openalex.org/W2975127965","https://openalex.org/W3046535657","https://openalex.org/W3147948705","https://openalex.org/W3176058817","https://openalex.org/W3194510768","https://openalex.org/W3203984526","https://openalex.org/W4226250924","https://openalex.org/W4226340276","https://openalex.org/W4240485910","https://openalex.org/W4297825304","https://openalex.org/W4306149592","https://openalex.org/W4400771759","https://openalex.org/W4401110530","https://openalex.org/W4402742560","https://openalex.org/W4405440895"],"related_works":["https://openalex.org/W2576994247","https://openalex.org/W2608353378","https://openalex.org/W4249206767","https://openalex.org/W2563559453","https://openalex.org/W2382330008","https://openalex.org/W1519970947","https://openalex.org/W4243860260","https://openalex.org/W4383503847","https://openalex.org/W2391251536","https://openalex.org/W2342695897"],"abstract_inverted_index":{"Traffic":[0],"flow":[1,214],"estimation":[2],"is":[3,138],"critical":[4],"for":[5,50,219],"road":[6],"traffic":[7,73,116,147,157,170,190,213],"management.":[8],"However,":[9],"the":[10,26,31,39,52,98,114,120,124,135,142,165,188,194],"traditional":[11],"systems":[12],"measuring":[13],"procedures":[14],"demand":[15],"a":[16,46,69,153,173,204,207,217],"significant":[17],"amount":[18],"of":[19,102,140,145,168],"time":[20,109,183],"and":[21,29,36,54,67,86,112,123,186,197,230],"money":[22],"to":[23,71,96,155,163,211,221,225],"continually":[24],"collect":[25],"essential":[27],"data":[28,199],"keep":[30],"associated":[32],"hardware,":[33],"like":[34],"cameras":[35],"sensors.":[37,130,200],"On":[38],"other":[40],"hand,":[41],"deep":[42,64,174,208],"learning":[43,65,175,209],"approaches":[44],"give":[45],"scientifically":[47],"solid":[48],"framework":[49],"modeling":[51],"ambiguity":[53],"complicated":[55],"relationships":[56],"between":[57],"multiple":[58],"variables.":[59],"Accordingly,":[60],"this":[61,223],"study":[62],"utilized":[63],"networks":[66],"built":[68],"model":[70,122,137,154,210],"estimate":[72,156,212],"flows":[74,117,158,191],"using":[75,107,159,172,181,206],"anticipated":[76,160],"journey":[77,161],"times.":[78],"Stacked":[79],"Autoencoders":[80],"(SAEs),":[81],"Gated":[82],"Recurrent":[83],"Units":[84],"(GRUs)":[85],"Long":[87],"Short-Time":[88],"Memory":[89],"units":[90],"(LSTMs)":[91],"techniques":[92],"were":[93,104],"specifically":[94],"used":[95],"train":[97],"model.":[99,176],"A":[100],"number":[101],"experiments":[103,178],"carried":[105],"out":[106],"various":[108,182],"sequence":[110,184],"values":[111,185],"compared":[113],"estimated":[115,189],"produced":[118,192],"by":[119,193],"suggested":[121,136,195],"actual":[125,146,169],"ones":[126],"collected":[127],"from":[128],"real":[129,198],"The":[131],"results":[132],"demonstrate":[133],"that":[134,215],"capable":[139],"capturing":[141],"general":[143,166],"trend":[144,167],"flows.":[148],"Our":[149],"research":[150],"proposes":[151],"building":[152],"times":[162],"capture":[164],"loads":[171],"Different":[177],"are":[179],"completed":[180],"comparing":[187],"models":[196],"This":[201],"work":[202],"provides":[203,216],"solution":[205],"consummate":[218],"e-businesses":[220],"use":[222],"approach":[224],"reduce":[226],"their":[227,232],"transportation":[228],"cost":[229],"increase":[231],"customer":[233],"satisfaction.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
