{"id":"https://openalex.org/W2555539761","doi":"https://doi.org/10.3390/s16111958","title":"Queuing Time Prediction Using WiFi Positioning Data in an Indoor Scenario","display_name":"Queuing Time Prediction Using WiFi Positioning Data in an Indoor Scenario","publication_year":2016,"publication_date":"2016-11-22","ids":{"openalex":"https://openalex.org/W2555539761","doi":"https://doi.org/10.3390/s16111958","mag":"2555539761","pmid":"https://pubmed.ncbi.nlm.nih.gov/27879663"},"language":"en","primary_location":{"id":"doi:10.3390/s16111958","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16111958","pdf_url":"https://www.mdpi.com/1424-8220/16/11/1958/pdf?version=1479808950","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/16/11/1958/pdf?version=1479808950","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054347138","display_name":"Hua Shu","orcid":"https://orcid.org/0000-0001-7694-564X"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Shu","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0001-7694-564X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100744121","display_name":"Ci Song","orcid":"https://orcid.org/0000-0003-2146-6259"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ci Song","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042431974","display_name":"Tao Pei","orcid":"https://orcid.org/0000-0002-5311-8761"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Pei","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052560055","display_name":"Lianming Xu","orcid":"https://orcid.org/0009-0006-9142-8863"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lianming Xu","raw_affiliation_strings":["RTmap Science and Technology Ltd., Beijing 100093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RTmap Science and Technology Ltd., Beijing 100093, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063203947","display_name":"Yang Ou","orcid":"https://orcid.org/0000-0002-9309-2121"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Ou","raw_affiliation_strings":["RTmap Science and Technology Ltd., Beijing 100093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RTmap Science and Technology Ltd., Beijing 100093, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102005478","display_name":"Libin Zhang","orcid":"https://orcid.org/0000-0001-7754-483X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Libin Zhang","raw_affiliation_strings":["Information Technology Department, Beijing Capital International Airport Co., Ltd., Beijing 100621, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Department, Beijing Capital International Airport Co., Ltd., Beijing 100621, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455316","display_name":"Tao Li","orcid":"https://orcid.org/0000-0002-5333-0586"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["Information Technology Department, Beijing Capital International Airport Co., Ltd., Beijing 100621, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Department, Beijing Capital International Airport Co., Ltd., Beijing 100621, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042431974"],"corresponding_institution_ids":["https://openalex.org/I4210160793"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.3194,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.81936111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":"11","first_page":"1958","last_page":"1958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9972000122070312,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9912999868392944,"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/queueing-theory","display_name":"Queueing theory","score":0.743864893913269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6806520819664001},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5961076021194458},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5882748365402222},{"id":"https://openalex.org/keywords/queuing-delay","display_name":"Queuing delay","score":0.5564315915107727},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.46021831035614014},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4487159550189972},{"id":"https://openalex.org/keywords/queue-management-system","display_name":"Queue management system","score":0.4329526424407959},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4114498496055603},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3987559974193573},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23807090520858765},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13563451170921326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09910434484481812}],"concepts":[{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.743864893913269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6806520819664001},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5961076021194458},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5882748365402222},{"id":"https://openalex.org/C196095461","wikidata":"https://www.wikidata.org/wiki/Q576842","display_name":"Queuing delay","level":3,"score":0.5564315915107727},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.46021831035614014},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4487159550189972},{"id":"https://openalex.org/C128220111","wikidata":"https://www.wikidata.org/wiki/Q4531011","display_name":"Queue management system","level":3,"score":0.4329526424407959},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4114498496055603},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3987559974193573},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23807090520858765},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13563451170921326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09910434484481812},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s16111958","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16111958","pdf_url":"https://www.mdpi.com/1424-8220/16/11/1958/pdf?version=1479808950","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:27879663","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27879663","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:cb60ce6e0d094427922418385f7a353d","is_oa":true,"landing_page_url":"https://doaj.org/article/cb60ce6e0d094427922418385f7a353d","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":"Sensors, Vol 16, Iss 11, p 1958 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/16/11/1958/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s16111958","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 16; Issue 11; Pages: 1958","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5134617","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5134617","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s16111958","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16111958","pdf_url":"https://www.mdpi.com/1424-8220/16/11/1958/pdf?version=1479808950","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G2423247345","display_name":null,"funder_award_id":"41525004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6352588581","display_name":null,"funder_award_id":"41421001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7090105078","display_name":null,"funder_award_id":"41231171","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8556560895","display_name":null,"funder_award_id":"41421001","funder_id":"https://openalex.org/F4320322271","funder_display_name":"Science Fund for Creative Research Groups"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322271","display_name":"Science Fund for Creative Research Groups","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2555539761.pdf","grobid_xml":"https://content.openalex.org/works/W2555539761.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W18450478","https://openalex.org/W141401770","https://openalex.org/W1433733217","https://openalex.org/W1536447791","https://openalex.org/W1575873342","https://openalex.org/W1973483062","https://openalex.org/W1975169499","https://openalex.org/W1975756314","https://openalex.org/W1978184187","https://openalex.org/W1981510426","https://openalex.org/W1983662225","https://openalex.org/W2004924319","https://openalex.org/W2006170882","https://openalex.org/W2014272325","https://openalex.org/W2024165968","https://openalex.org/W2039796396","https://openalex.org/W2042150757","https://openalex.org/W2052959184","https://openalex.org/W2059622937","https://openalex.org/W2070027626","https://openalex.org/W2071118663","https://openalex.org/W2085866051","https://openalex.org/W2096157747","https://openalex.org/W2100989187","https://openalex.org/W2123175289","https://openalex.org/W2132782512","https://openalex.org/W2150388519","https://openalex.org/W2152530926","https://openalex.org/W2158583440","https://openalex.org/W2161945386","https://openalex.org/W2162174678","https://openalex.org/W2162470836","https://openalex.org/W2165184746","https://openalex.org/W2166221222","https://openalex.org/W2167036165","https://openalex.org/W2267380717","https://openalex.org/W2295575944","https://openalex.org/W2320101545","https://openalex.org/W2343107556","https://openalex.org/W2492250943","https://openalex.org/W2506082243","https://openalex.org/W2579489139","https://openalex.org/W2604513783","https://openalex.org/W2798058877","https://openalex.org/W6632102171","https://openalex.org/W6682670434"],"related_works":["https://openalex.org/W2368961776","https://openalex.org/W2349019353","https://openalex.org/W1535772705","https://openalex.org/W2361230975","https://openalex.org/W2154965898","https://openalex.org/W2184312385","https://openalex.org/W2622283040","https://openalex.org/W1983551639","https://openalex.org/W2783882805","https://openalex.org/W2581865514"],"abstract_inverted_index":{"Queuing":[0],"is":[1,249,253,269,285],"common":[2],"in":[3,54,126,295],"urban":[4],"public":[5,297],"places.":[6],"Automatically":[7],"monitoring":[8],"and":[9,23,35,50,91,117,171,201,220,275,291],"predicting":[10],"queuing":[11,52,80,95,119,124,259,293],"time":[12,22,53,89,96,99,120,125,129,137,294],"can":[13,74],"not":[14],"only":[15],"help":[16,28],"individuals":[17],"to":[18,30,39,48,69,121,208,213,289],"reduce":[19],"their":[20,37],"wait":[21],"alleviate":[24,214],"anxiety":[25],"but":[26],"also":[27],"managers":[29],"allocate":[31],"resources":[32],"more":[33],"efficiently":[34],"enhance":[36],"ability":[38],"address":[40],"emergencies.":[41],"This":[42],"paper":[43],"proposes":[44],"a":[45,65,104,164,203],"novel":[46],"method":[47,288],"estimate":[49,92,290],"predict":[51,122,292],"indoor":[55,296],"environments":[56],"based":[57],"on":[58],"WiFi":[59,114,158,165,224],"positioning":[60,159,166,178,197,225],"data.":[61],"First,":[62],"we":[63,83,102,190],"use":[64],"series":[66,138],"of":[67,79,157,217,237,256],"parameters":[68],"identify":[70],"the":[71,85,111,123,127,143,154,177,181,186,192,196,209,215,234,244,257,264,267,276,282],"trajectories":[72],"that":[73,142,184,243,281],"be":[75],"used":[76],"as":[77],"representatives":[78],"time.":[81,260],"Next,":[82],"divide":[84],"day":[86],"into":[87],"equal":[88],"slices":[90],"individuals'":[93],"average":[94],"during":[97,195],"specific":[98],"slices.":[100],"Finally,":[101],"build":[103],"nonstandard":[105],"autoregressive":[106],"(NAR)":[107],"model":[108,145,284],"trained":[109],"using":[110,263],"previous":[112],"day's":[113],"estimation":[115,187,247],"results":[116],"actual":[118,258],"upcoming":[128],"slice.":[130],"A":[131],"case":[132,230,278],"study":[133,231,279],"comparing":[134],"two":[135],"other":[136],"analysis":[139],"models":[140],"shows":[141],"NAR":[144,265,283],"has":[146],"better":[147],"precision.":[148,188],"Random":[149],"topological":[150,173,218],"errors":[151,174,219],"caused":[152,175],"by":[153,163,176],"drift":[155,169,204],"phenomenon":[156],"technology":[160],"(locations":[161],"determined":[162],"system":[167,179,198],"may":[168],"accidently)":[170],"systematic":[172],"are":[180],"main":[182],"factors":[183],"affect":[185],"Therefore,":[189],"optimize":[191],"deployment":[193,199],"strategy":[194],"phase":[200,212],"propose":[202],"ratio":[205],"parameter":[206],"pertaining":[207],"trajectory":[210],"screening":[211],"impact":[216],"improve":[221],"estimates.":[222],"The":[223,272],"data":[226],"from":[227],"an":[228,286],"eight-day":[229],"conducted":[232],"at":[233],"T3-C":[235],"entrance":[236],"Beijing":[238],"Capital":[239],"International":[240],"Airport":[241],"show":[242],"mean":[245],"absolute":[246],"error":[248],"147":[250],"s,":[251],"which":[252],"approximately":[254,270],"26.92%":[255],"For":[261],"predictions":[262,274],"model,":[266],"proportion":[268],"27.49%.":[271],"theoretical":[273],"empirical":[277],"indicate":[280],"effective":[287],"areas.":[298]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}