{"id":"https://openalex.org/W4405935841","doi":"https://doi.org/10.1109/itnac62915.2024.10815387","title":"A Specialised Synthetic Mobility Model Based on Real-World Traces","display_name":"A Specialised Synthetic Mobility Model Based on Real-World Traces","publication_year":2024,"publication_date":"2024-11-27","ids":{"openalex":"https://openalex.org/W4405935841","doi":"https://doi.org/10.1109/itnac62915.2024.10815387"},"language":"en","primary_location":{"id":"doi:10.1109/itnac62915.2024.10815387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itnac62915.2024.10815387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 34th International Telecommunication Networks and Applications Conference (ITNAC)","raw_type":"proceedings-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":null,"display_name":"Max Amiri","orcid":null},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Max Amiri","raw_affiliation_strings":["School of Computing University of Otago,Dunedin,New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Computing University of Otago,Dunedin,New Zealand","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034644722","display_name":"David Eyers","orcid":"https://orcid.org/0000-0002-7284-8006"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"David Eyers","raw_affiliation_strings":["School of Computing University of Otago,Dunedin,New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Computing University of Otago,Dunedin,New Zealand","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090297023","display_name":"Zhiyi Huang","orcid":"https://orcid.org/0000-0001-8561-2556"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Zhiyi Huang","raw_affiliation_strings":["School of Computing University of Otago,Dunedin,New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Computing University of Otago,Dunedin,New Zealand","institution_ids":["https://openalex.org/I80281795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I80281795"],"apc_list":null,"apc_paid":null,"fwci":0.6581,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80051612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9937999844551086,"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":0.9937999844551086,"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":0.984000027179718,"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/T11106","display_name":"Data Management and Algorithms","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6065077781677246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6065077781677246}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itnac62915.2024.10815387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itnac62915.2024.10815387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 34th International Telecommunication Networks and Applications Conference (ITNAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1680503020","https://openalex.org/W2018798792","https://openalex.org/W2050129924","https://openalex.org/W2081346399","https://openalex.org/W2091169407","https://openalex.org/W2148135143","https://openalex.org/W2171503138","https://openalex.org/W3094038710","https://openalex.org/W3201904098","https://openalex.org/W3208074829"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,81,130,162],"rapid":[1],"growth":[2],"of":[3,6,20,76,111,164,184],"the":[4,17,72,87,148,177],"Internet":[5],"Things":[7],"(IoT)":[8],"offers":[9],"significant":[10],"opportunities":[11],"for":[12,40,89,92,103,159],"network":[13],"optimisation,":[14],"particularly":[15],"with":[16,188],"increasing":[18],"use":[19],"connected":[21],"vehicles":[22,33,77,104],"and":[23,50,68,124,144,176],"IoT":[24,42],"devices":[25],"in":[26,59,78,83,105,172],"enterprise":[27,106],"environments.":[28],"In":[29],"these":[30],"areas,":[31],"service":[32],"can":[34,140],"serve":[35],"as":[36],"mobile":[37],"data":[38],"collectors":[39],"battery-powered":[41],"devices,":[43],"enhancing":[44],"cloud":[45],"communication,":[46],"extending":[47],"battery":[48],"life,":[49],"reducing":[51],"operational":[52],"costs.":[53],"However,":[54],"current":[55],"mobility":[56,84,101,120,132,191],"models":[57,85,91,138,158],"used":[58],"VANET":[60],"research":[61],"primarily":[62],"address":[63],"urban":[64],"or":[65],"rural":[66],"roads":[67],"fail":[69],"to":[70,168,186],"capture":[71],"specific":[73],"movement":[74],"patterns":[75],"confined":[79,93],"domains.":[80],"limitation":[82],"emphasises":[86],"need":[88],"specialised":[90],"industrial":[94],"areas.":[95],"This":[96],"paper":[97],"proposes":[98],"a":[99,182],"synthetic":[100,131],"model":[102],"environments":[107],"derived":[108],"from":[109],"thousands":[110],"real-world":[112],"traces.":[113],"Our":[114],"contributions":[115],"include":[116],"detailed":[117],"insights":[118],"into":[119],"patterns,":[121],"probability":[122],"distributions,":[123],"their":[125],"corresponding":[126],"best-fit":[127],"mathematical":[128,157],"models.":[129],"is":[133],"based":[134,146],"on":[135,147],"two":[136],"Markovian":[137],"that":[139],"predict":[141],"future":[142],"speed":[143],"direction":[145],"previous":[149],"speed.":[150],"Additionally,":[151],"we":[152],"have":[153],"developed":[154],"highly":[155],"accurate":[156],"each":[160],"distribution.":[161],"novelty":[163],"this":[165],"work,":[166],"compared":[167],"existing":[169],"models,":[170],"lies":[171],"our":[173,189],"new":[174],"dataset":[175],"model's":[178],"precision.":[179],"It":[180],"delivers":[181],"match":[183],"86%":[185],"98%":[187],"collected":[190],"data.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
