{"id":"https://openalex.org/W2902987630","doi":"https://doi.org/10.3390/s18124275","title":"Research on Path Planning Model Based on Short-Term Traffic Flow Prediction in Intelligent Transportation System","display_name":"Research on Path Planning Model Based on Short-Term Traffic Flow Prediction in Intelligent Transportation System","publication_year":2018,"publication_date":"2018-12-05","ids":{"openalex":"https://openalex.org/W2902987630","doi":"https://doi.org/10.3390/s18124275","mag":"2902987630","pmid":"https://pubmed.ncbi.nlm.nih.gov/30563039"},"language":"en","primary_location":{"id":"doi:10.3390/s18124275","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18124275","pdf_url":"https://www.mdpi.com/1424-8220/18/12/4275/pdf?version=1543983766","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/1424-8220/18/12/4275/pdf?version=1543983766","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064974659","display_name":"Dongjie Zhu","orcid":"https://orcid.org/0000-0001-7874-8498"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongjie Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032522711","display_name":"Haiwen Du","orcid":"https://orcid.org/0000-0002-6904-7398"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiwen Du","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100650169","display_name":"Yundong Sun","orcid":"https://orcid.org/0000-0001-5567-4553"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yundong Sun","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057973707","display_name":"Ning Cao","orcid":"https://orcid.org/0000-0001-6430-3586"},"institutions":[{"id":"https://openalex.org/I186691195","display_name":"Qingdao Binhai University","ror":"https://ror.org/023er3e86","country_code":"CN","type":"education","lineage":["https://openalex.org/I186691195"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ning Cao","raw_affiliation_strings":["College of Information Engineering, Qingdao Binhai University, Qingdao 266555, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Qingdao Binhai University, Qingdao 266555, China","institution_ids":["https://openalex.org/I186691195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057973707","https://openalex.org/A5064974659"],"corresponding_institution_ids":["https://openalex.org/I186691195","https://openalex.org/I204983213"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.7201,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.89522266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"18","issue":"12","first_page":"4275","last_page":"4275"},"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":0.9977999925613403,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.6569366455078125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6408445835113525},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6164076328277588},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5867739915847778},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.578376293182373},{"id":"https://openalex.org/keywords/dijkstras-algorithm","display_name":"Dijkstra's algorithm","score":0.568729043006897},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5587062835693359},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5042108297348022},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46788543462753296},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.45519670844078064},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.45123961567878723},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4300781488418579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3608585000038147},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.34372735023498535},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19595566391944885},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.12301686406135559},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.09699133038520813}],"concepts":[{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.6569366455078125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6408445835113525},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6164076328277588},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5867739915847778},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.578376293182373},{"id":"https://openalex.org/C173870130","wikidata":"https://www.wikidata.org/wiki/Q8548","display_name":"Dijkstra's algorithm","level":4,"score":0.568729043006897},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5587062835693359},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5042108297348022},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46788543462753296},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.45519670844078064},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.45123961567878723},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4300781488418579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3608585000038147},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.34372735023498535},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19595566391944885},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.12301686406135559},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.09699133038520813},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s18124275","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18124275","pdf_url":"https://www.mdpi.com/1424-8220/18/12/4275/pdf?version=1543983766","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:30563039","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30563039","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:2988fac4bbd04531a9c95e510d26e7a5","is_oa":true,"landing_page_url":"https://doaj.org/article/2988fac4bbd04531a9c95e510d26e7a5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 18, Iss 12, p 4275 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5292039","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6308581","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/18/12/4275/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s18124275","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","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6308581","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6308581","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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/s18124275","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18124275","pdf_url":"https://www.mdpi.com/1424-8220/18/12/4275/pdf?version=1543983766","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":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2492248801","display_name":null,"funder_award_id":"2016DXGJMS15","funder_id":"https://openalex.org/F4320327935","funder_display_name":"Weihai Science and Technology Development Program"},{"id":"https://openalex.org/G2520815671","display_name":null,"funder_award_id":"NSRIF.","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3465422401","display_name":null,"funder_award_id":"2017GGX90103","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4177732441","display_name":null,"funder_award_id":"HIT.NSRIF.201714","funder_id":"https://openalex.org/F4320327935","funder_display_name":"Weihai Science and Technology Development Program"},{"id":"https://openalex.org/G4632485330","display_name":null,"funder_award_id":"HIT.NSRIF.201714","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6042644914","display_name":null,"funder_award_id":"2016DXGJMS15","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6715953038","display_name":null,"funder_award_id":"NSRIF","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7907240596","display_name":null,"funder_award_id":"2017GGX90103","funder_id":"https://openalex.org/F4320327935","funder_display_name":"Weihai Science and Technology Development Program"},{"id":"https://openalex.org/G8713319255","display_name":null,"funder_award_id":"HIT.NSRIF","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320327935","display_name":"Weihai Science and Technology Development Program","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2902987630.pdf","grobid_xml":"https://content.openalex.org/works/W2902987630.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W252542266","https://openalex.org/W1497720824","https://openalex.org/W1937847179","https://openalex.org/W1998798635","https://openalex.org/W2006901563","https://openalex.org/W2016210396","https://openalex.org/W2027355980","https://openalex.org/W2032160020","https://openalex.org/W2036785686","https://openalex.org/W2049952439","https://openalex.org/W2067768752","https://openalex.org/W2095499778","https://openalex.org/W2101823987","https://openalex.org/W2107846430","https://openalex.org/W2166988467","https://openalex.org/W2331451839","https://openalex.org/W2390111542","https://openalex.org/W2511121934","https://openalex.org/W2597364644","https://openalex.org/W2620438329","https://openalex.org/W2889895804","https://openalex.org/W2899298266","https://openalex.org/W3111004771","https://openalex.org/W6657164611","https://openalex.org/W6659849045"],"related_works":["https://openalex.org/W3209137076","https://openalex.org/W2374560440","https://openalex.org/W1490490684","https://openalex.org/W4221129498","https://openalex.org/W2887026015","https://openalex.org/W2361442013","https://openalex.org/W2373384475","https://openalex.org/W4310124294","https://openalex.org/W143403600","https://openalex.org/W2761711678"],"abstract_inverted_index":{"Vehicle":[0],"driving":[1],"path":[2,18,117,154],"planning":[3,19,155],"is":[4,76,93,110,120],"an":[5,14,103],"important":[6,15],"information":[7,74],"service":[8],"in":[9,60,87],"intelligent":[10,57],"transportation":[11,58],"systems.":[12],"As":[13],"basis":[16],"for":[17,45,177],"optimization,":[20],"the":[21,53,67,80,85,97,113,131,138,151,166],"travel":[22,179],"time":[23,176],"prediction":[24,46,82,108],"method":[25,47],"has":[26,33,170],"attracted":[27],"much":[28],"attention.":[29],"However,":[30],"traffic":[31,81,163],"flow":[32],"features":[34],"of":[35,56,141],"high":[36],"nonlinearity,":[37],"time-varying,":[38],"and":[39,134,143,174],"uncertainty,":[40],"which":[41],"makes":[42],"it":[43,136],"hard":[44],"with":[48,137],"single":[49],"feature":[50],"to":[51,78,95,129],"meet":[52],"accuracy":[54],"demand":[55],"system":[59],"big":[61],"data":[62,75],"environment.":[63],"In":[64],"this":[65],"paper,":[66],"historical":[68,98],"vehicle":[69,99],"Global":[70],"Positioning":[71],"System":[72],"(GPS)":[73],"used":[77,123],"establish":[79],"model.":[83],"Firstly,":[84],"Clustering":[86],"QUEst":[88],"(CLIQUE)-based":[89],"clustering":[90],"algorithm":[91],"V-CLIQUE":[92],"proposed":[94,158],"analyze":[96],"GPS":[100],"data.":[101],"Secondly,":[102],"artificial":[104],"neural":[105],"network":[106],"(ANN)-based":[107],"model":[109,133,156],"proposed.":[111,121],"Finally,":[112],"ANN-based":[114],"weighted":[115],"shortest":[116],"algorithm,":[118],"A-Dijkstra,":[119],"We":[122],"mean":[124],"absolute":[125],"percentage":[126],"error":[127,173],"(MAPE)":[128],"evaluate":[130],"predictive":[132],"compare":[135],"predicted":[139],"results":[140],"Average":[142],"support":[144],"regression":[145],"vector":[146],"(SRV).":[147],"Experiments":[148],"show":[149],"that":[150],"improved":[152],"ANN":[153],"we":[157],"can":[159],"accurately":[160],"predict":[161],"real-time":[162],"status":[164],"at":[165],"given":[167],"location.":[168],"It":[169],"less":[171],"relative":[172],"saves":[175],"users'":[178],"while":[180],"saving":[181],"social":[182],"resources.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}