{"id":"https://openalex.org/W2054959237","doi":"https://doi.org/10.1080/10798587.2010.10643067","title":"Estimation Of Passenger Waiting Time In Elevator Systems With Artificial Neural Network","display_name":"Estimation Of Passenger Waiting Time In Elevator Systems With Artificial Neural Network","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2054959237","doi":"https://doi.org/10.1080/10798587.2010.10643067","mag":"2054959237"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.2010.10643067","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2010.10643067","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","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/A5017001574","display_name":"Mahir Dursun","orcid":"https://orcid.org/0000-0003-0649-2627"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mahir Dursun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5017001574"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5389,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88031959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":"1","first_page":"101","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":1.0,"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/T13344","display_name":"Industrial Automation and Control Systems","score":0.9707000255584717,"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/T12546","display_name":"Smart Parking Systems Research","score":0.957099974155426,"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":0.9184313416481018},{"id":"https://openalex.org/keywords/elevator","display_name":"Elevator","score":0.909874677658081},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6780188679695129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34818530082702637},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.04721668362617493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9184313416481018},{"id":"https://openalex.org/C147021018","wikidata":"https://www.wikidata.org/wiki/Q252451","display_name":"Elevator","level":2,"score":0.909874677658081},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6780188679695129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34818530082702637},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.04721668362617493},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10798587.2010.10643067","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2010.10643067","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1571892042","https://openalex.org/W1881729572","https://openalex.org/W1910208152","https://openalex.org/W2001580342","https://openalex.org/W2062353690","https://openalex.org/W2064269263","https://openalex.org/W2065487239","https://openalex.org/W2097087895","https://openalex.org/W2112591639","https://openalex.org/W2120333055","https://openalex.org/W2129414706","https://openalex.org/W2333560647","https://openalex.org/W3199723345","https://openalex.org/W3201342296","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2518567320","https://openalex.org/W1910208152","https://openalex.org/W2354661879","https://openalex.org/W2386387936","https://openalex.org/W2390471718","https://openalex.org/W2388926774","https://openalex.org/W2800393720","https://openalex.org/W2331783725","https://openalex.org/W1629725936","https://openalex.org/W2379385651"],"abstract_inverted_index":{"Abstract":[0],"In":[1,25,49],"this":[2],"study,":[3],"a":[4],"simulation":[5,26],"program":[6],"for":[7,112,135],"elevator":[8],"control":[9,81,88],"system":[10],"with":[11,15,32,46],"10":[12,42],"floor":[13,99,114],"apartment":[14],"300":[16],"people":[17],"was":[18,30,96,110],"prepared":[19],"by":[20,130],"using":[21],"C++\u2009builder":[22],"programming":[23],"language.":[24],"program,":[27,51],"the":[28,50,52,72,91,94,102,119],"cabin":[29,95,120],"controlled":[31],"both":[33],"artificial":[34],"neural":[35],"network":[36],"(ANN)":[37],"and":[38,56,62,123],"traditional":[39,87],"methods":[40],"under":[41],"different":[43,85],"variable":[44],"speeds":[45],"constant":[47],"acceleration.":[48],"number":[53],"of":[54,69,75],"passenger":[55],"their":[57],"waiting":[58,73,108,125],"times":[59],"were":[60],"multiplied":[61],"applied":[63],"to":[64,80,98],"ANN":[65],"inputs":[66],"as":[67],"degrees":[68],"weight.":[70],"Thus,":[71],"time":[74,109,122,126],"passengers":[76,124],"has":[77,101],"been":[78,128],"added":[79],"algorithm":[82],"which":[83],"is":[84],"from":[86],"methods.":[89],"With":[90],"suggested":[92,133],"system,":[93],"directed":[97],"that":[100],"most":[103],"weighted":[104],"grade.":[105],"Consequently,":[106],"passenger\u2019s":[107],"scattered":[111],"each":[113],"in":[115],"balanced":[116],"manner.":[117],"Moreover":[118],"travel":[121],"have":[127],"decreased":[129],"about":[131],"18%using":[132],"method":[134],"up":[136],"peak":[137],"traffic":[138],"situation.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}