{"id":"https://openalex.org/W4205201748","doi":"https://doi.org/10.1109/access.2021.3139867","title":"A Bidirectional Trajectory Prediction Model for Users in Mobile Networks","display_name":"A Bidirectional Trajectory Prediction Model for Users in Mobile Networks","publication_year":2021,"publication_date":"2021-12-31","ids":{"openalex":"https://openalex.org/W4205201748","doi":"https://doi.org/10.1109/access.2021.3139867"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3139867","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3139867","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09667369.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09667369.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040191739","display_name":"Nasrin Bahra","orcid":"https://orcid.org/0000-0001-9335-1456"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nasrin Bahra","raw_affiliation_strings":["Department of Computer and Software Engineering, Mobile Computing and Networking Research Laboratory (LARIM), Polytechnique Montr\u00e9al, Montreal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9335-1456","affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering, Mobile Computing and Networking Research Laboratory (LARIM), Polytechnique Montr\u00e9al, Montreal, QC, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074743707","display_name":"Samuel Pierre","orcid":"https://orcid.org/0000-0001-8063-8773"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Samuel Pierre","raw_affiliation_strings":["Department of Computer and Software Engineering, Mobile Computing and Networking Research Laboratory (LARIM), Polytechnique Montr\u00e9al, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering, Mobile Computing and Networking Research Laboratory (LARIM), Polytechnique Montr\u00e9al, Montreal, QC, Canada","institution_ids":["https://openalex.org/I45683168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45683168"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5157,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84856838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"1921","last_page":"1935"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9086336493492126},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6556286811828613},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6288608908653259},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5322223901748657},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.5044642686843872},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4660675823688507},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.4573187232017517},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.45262500643730164},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.413894921541214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3881520628929138},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36584800481796265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34054261445999146},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19691956043243408},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09428173303604126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9086336493492126},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6556286811828613},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6288608908653259},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5322223901748657},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.5044642686843872},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4660675823688507},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.4573187232017517},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.45262500643730164},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.413894921541214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3881520628929138},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36584800481796265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34054261445999146},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19691956043243408},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09428173303604126},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2021.3139867","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3139867","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09667369.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:publications.polymtl.ca:50251","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article de revue"},{"id":"pmh:oai:doaj.org/article:05a036f9ecd143299e438611d5a18939","is_oa":true,"landing_page_url":"https://doaj.org/article/05a036f9ecd143299e438611d5a18939","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":"IEEE Access, Vol 10, Pp 1921-1935 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3139867","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3139867","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09667369.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205201748.pdf","grobid_xml":"https://content.openalex.org/works/W4205201748.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W256129182","https://openalex.org/W1924770834","https://openalex.org/W1964357740","https://openalex.org/W1987228002","https://openalex.org/W2008058052","https://openalex.org/W2012084072","https://openalex.org/W2022749020","https://openalex.org/W2031674781","https://openalex.org/W2045230780","https://openalex.org/W2064675550","https://openalex.org/W2067261106","https://openalex.org/W2074020083","https://openalex.org/W2117206394","https://openalex.org/W2121161839","https://openalex.org/W2126194848","https://openalex.org/W2131774270","https://openalex.org/W2145938889","https://openalex.org/W2172041433","https://openalex.org/W2539781657","https://openalex.org/W2546679426","https://openalex.org/W2563749778","https://openalex.org/W2598111164","https://openalex.org/W2735793369","https://openalex.org/W2767923185","https://openalex.org/W2788114581","https://openalex.org/W2793443941","https://openalex.org/W2802384791","https://openalex.org/W2805929175","https://openalex.org/W2884745705","https://openalex.org/W2907028289","https://openalex.org/W2911376306","https://openalex.org/W2911485121","https://openalex.org/W2911662370","https://openalex.org/W2963049813","https://openalex.org/W2963393241","https://openalex.org/W2965539152","https://openalex.org/W2972706049","https://openalex.org/W2980728767","https://openalex.org/W2998640320","https://openalex.org/W3010735106","https://openalex.org/W3013563398","https://openalex.org/W3105110352","https://openalex.org/W4212863985","https://openalex.org/W4241946824","https://openalex.org/W4250397346","https://openalex.org/W6640212811","https://openalex.org/W6681158678","https://openalex.org/W6753432747","https://openalex.org/W6773197906","https://openalex.org/W6894205207","https://openalex.org/W6997203207"],"related_works":["https://openalex.org/W1496222301","https://openalex.org/W3207760230","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W4280645561"],"abstract_inverted_index":{"Future":[0],"mobile":[1],"networks":[2,21,57,73],"are":[3,22,58,97],"envisioned":[4],"to":[5,24,62,67,77,110,134,165,191,242],"have":[6],"critical":[7],"limitations":[8],"in":[9,34,80,86,183,189,220],"terms":[10,221],"of":[11,40,93,147,180,216,222,234],"latency,":[12],"energy":[13],"usage,":[14],"capacity":[15],"and":[16,28,187,196,226,236],"network":[17,48,65,122],"resources":[18],"since":[19],"these":[20],"expected":[23],"become":[25],"extremely":[26],"dense":[27],"complex.":[29],"The":[30,140,174],"rapid":[31],"enormous":[32],"advances":[33],"recent":[35],"technologies":[36],"such":[37],"as":[38,51],"Internet":[39],"Things":[41],"(IoT)":[42],"highlights":[43],"the":[44,64,68,81,101,136,144,208,214,217,238],"urgent":[45],"need":[46],"for":[47,119,153],"performance":[49,66,215],"enhancement":[50],"well.":[52],"To":[53],"this":[54,106],"end,":[55],"self-organizing":[56,94],"a":[59,91,120,126,161,193,231],"promising":[60],"solution":[61],"push":[63],"next":[69],"level.":[70],"These":[71],"scalable":[72],"can":[74],"dynamically":[75],"adapt":[76],"possible":[78],"changes":[79],"network.":[82],"Smart":[83],"mobility":[84,88,138,199,218],"management,":[85],"particular":[87],"prediction,":[89],"is":[90],"subsection":[92],"functions":[95],"which":[96],"mainly":[98],"based":[99],"on":[100],"machine":[102,116],"learning":[103,117],"techniques.":[104],"In":[105],"paper,":[107],"we":[108,159],"propose":[109,125],"estimate":[111],"user\u2019s":[112,198],"future":[113],"trajectory":[114,129],"using":[115],"approaches":[118],"better":[121,167],"management.":[123],"We":[124],"novel":[127],"bidirectional":[128,148,210],"prediction":[130,195],"model":[131,135,197,223,232],"called":[132],"BTPM":[133],"user":[137],"behavior.":[139],"proposed":[141,175,209],"method":[142],"exploits":[143],"potential":[145],"benefits":[146],"gated":[149],"recurrent":[150],"unit":[151],"(GRU)":[152],"having":[154],"an":[155],"accurate":[156],"prediction.":[157],"Moreover,":[158],"introduce":[160],"data":[162,181],"preprocessing":[163],"phase":[164],"obtain":[166],"results":[168,205],"with":[169,201],"significantly":[170,212],"lower":[171],"execution":[172,227,239],"time.":[173,228],"approach":[176,211],"takes":[177],"full":[178],"advantage":[179],"analysis":[182],"both":[184],"directions":[185],"(backward":[186],"forward)":[188],"order":[190],"provide":[192],"long-term":[194],"even":[200],"complex":[202],"patterns.":[203],"Experimental":[204],"show":[206],"that":[207],"improves":[213],"predictor":[219],"accuracy,":[224],"robustness":[225],"It":[229],"achieves":[230],"error":[233],"0.014":[235],"decreases":[237],"time":[240],"up":[241],"97%.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
