{"id":"https://openalex.org/W4225114044","doi":"https://doi.org/10.1155/2022/7554560","title":"Research on GPS User Trajectory Analysis and Behavior Prediction Based on Swarm Intelligence Algorithm","display_name":"Research on GPS User Trajectory Analysis and Behavior Prediction Based on Swarm Intelligence Algorithm","publication_year":2022,"publication_date":"2022-04-29","ids":{"openalex":"https://openalex.org/W4225114044","doi":"https://doi.org/10.1155/2022/7554560"},"language":"en","primary_location":{"id":"doi:10.1155/2022/7554560","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/7554560","pdf_url":"https://downloads.hindawi.com/journals/js/2022/7554560.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2022/7554560.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090635296","display_name":"Guangyong Zhou","orcid":"https://orcid.org/0000-0001-6510-612X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guangyong Zhou","raw_affiliation_strings":["School of Civil Engineering, Guangdong Construction Polytechnic, Guangzhou 510440, China"],"raw_orcid":"https://orcid.org/0000-0001-6510-612X","affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Guangdong Construction Polytechnic, Guangzhou 510440, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5090635296"],"corresponding_institution_ids":[],"apc_list":{"value":2375,"currency":"USD","value_usd":2375},"apc_paid":{"value":2375,"currency":"USD","value_usd":2375},"fwci":0.9595,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78200544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9922000169754028,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9922000169754028,"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":0.9865999817848206,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9296000003814697,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/global-positioning-system","display_name":"Global Positioning System","score":0.8090064525604248},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7416731119155884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7075420618057251},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6844158172607422},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6063727736473083},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5727591514587402},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4801346957683563},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.45353201031684875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40772509574890137},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3748416602611542},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30972304940223694},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1047411561012268}],"concepts":[{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.8090064525604248},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7416731119155884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075420618057251},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6844158172607422},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6063727736473083},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5727591514587402},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4801346957683563},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.45353201031684875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40772509574890137},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3748416602611542},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30972304940223694},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1047411561012268},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2022/7554560","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/7554560","pdf_url":"https://downloads.hindawi.com/journals/js/2022/7554560.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b1e75c065a47423f92d820d798e0bf4d","is_oa":false,"landing_page_url":"https://doaj.org/article/b1e75c065a47423f92d820d798e0bf4d","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/7554560","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/7554560","pdf_url":"https://downloads.hindawi.com/journals/js/2022/7554560.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225114044.pdf","grobid_xml":"https://content.openalex.org/works/W4225114044.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2386118894","https://openalex.org/W2517599405","https://openalex.org/W2727708560","https://openalex.org/W2883770601","https://openalex.org/W2980590674","https://openalex.org/W3011509214","https://openalex.org/W3096157406","https://openalex.org/W3124312715"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4405901645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W2314154450"],"abstract_inverted_index":{"Under":[0],"the":[1,5,74,85,111,157,164,175,179,193,220,275,306],"social":[2],"background":[3],"of":[4,8,73,102,156,222,246,258,269,277,308],"rapid":[6],"development":[7],"big":[9,43],"data,":[10,137],"human":[11],"beings":[12],"have":[13,23],"gradually":[14,249],"moved":[15],"towards":[16],"a":[17,198,241,251,266,291],"comprehensive":[18],"digital":[19,27],"era,":[20],"and":[21,45,54,105,114,143,196,229,232,262,281,289,294,312],"people":[22],"begun":[24],"to":[25,36,92,134,183,209,287],"apply":[26],"technology":[28,195],"in":[29,60,110,126,152,167,178],"various":[30],"fields.":[31],"Therefore,":[32],"it":[33,88,233],"is":[34,71,82,98,123],"necessary":[35],"study":[37],"methods":[38,161],"that":[39,56],"can":[40],"efficiently":[41],"process":[42],"data":[44,50,122,132,218,245,253,292],"solve":[46],"problems":[47,205],"such":[48],"as":[49],"intelligence.":[51],"Intelligent":[52],"products":[53],"applications":[55],"we":[57],"use":[58],"everywhere":[59],"our":[61],"lives":[62],"are":[63,207,285],"changing":[64],"people\u2019s":[65],"lives.":[66],"Among":[67],"them,":[68],"location":[69,94],"service":[70],"one":[72],"important":[75,100],"technical":[76],"supports.":[77],"No":[78],"matter":[79],"which":[80,138,181,206],"software":[81],"opened":[83],"on":[84,163],"mobile":[86],"phone,":[87],"will":[89],"prompt":[90],"us":[91],"open":[93],"service.":[95],"Location":[96],"prediction":[97,128,160,185,296],"an":[99,107],"part":[101],"location-based":[103],"services":[104],"plays":[106],"indispensable":[108],"role":[109],"recommendation":[112],"system":[113,297],"urban":[115,259],"resource":[116],"planning.":[117],"At":[118],"present,":[119],"GPS-based":[120],"trajectory":[121,131,153,169,217,244],"widely":[124],"concerned":[125],"position":[127,144,159,165],"task.":[129],"GPS":[130,168,216,243,300,310],"belongs":[133],"spatiotemporal":[135],"series":[136],"not":[139,172],"only":[140],"contains":[141,148],"time":[142],"information":[145,151,177],"but":[146,170],"also":[147,234,264],"abundant":[149,236],"context":[150,176],"sequence.":[154],"Most":[155],"traditional":[158,213],"focus":[162],"sequence":[166],"do":[171],"fully":[173],"mine":[174],"trajectory,":[180,302],"leads":[182],"poor":[184],"results.":[186],"The":[187],"intelligent":[188],"optimization":[189,194,204,214],"algorithm":[190,280,284],"greatly":[191],"enriches":[192],"provides":[197],"feasible":[199],"solution":[200],"for":[201,255,298],"those":[202],"combinatorial":[203],"difficult":[208],"deal":[210],"with":[211],"by":[212],"technology.":[215],"has":[219,248,263],"advantages":[221],"wide":[223],"coverage,":[224],"quick":[225],"update,":[226],"easy":[227],"collection,":[228],"low":[230],"cost,":[231],"implies":[235],"road":[237,260],"network":[238,261],"information.":[239],"As":[240],"result,":[242],"users":[247],"become":[250,265],"new":[252],"source":[254],"automatic":[256],"construction":[257],"research":[267],"hotspot":[268],"many":[270],"scholars.":[271],"In":[272],"this":[273],"paper,":[274],"idea":[276],"swarm":[278,282],"intelligence":[279,283],"used":[286],"design":[288],"implement":[290],"analysis":[293],"behavior":[295],"calculating":[299],"user":[301],"aiming":[303],"at":[304],"solving":[305],"shortcomings":[307],"existing":[309],"tracking":[311],"positioning.":[313]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
