{"id":"https://openalex.org/W2168177982","doi":"https://doi.org/10.1109/iwcmc.2013.6583822","title":"On the existence of self-similarity in large-scale vehicular networks","display_name":"On the existence of self-similarity in large-scale vehicular networks","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2168177982","doi":"https://doi.org/10.1109/iwcmc.2013.6583822","mag":"2168177982"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2013.6583822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2013.6583822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)","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":"https://openalex.org/A5109426969","display_name":"Gautam S. Thakur","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gautam S. Thakur","raw_affiliation_strings":["CISE, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"CISE, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000530436","display_name":"Pan Hui","orcid":"https://orcid.org/0000-0001-6026-1083"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I4210093367","display_name":"Deutsche Telekom (Germany)","ror":"https://ror.org/00m8prc86","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210093367"]},{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["DE","HK"],"is_corresponding":false,"raw_author_name":"Pan Hui","raw_affiliation_strings":["Hong Kong University of Science and Technology and Telekom Innovation Laboratories, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology and Telekom Innovation Laboratories, Berlin, Germany","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I4210093367","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048781653","display_name":"Ahmed Helmy","orcid":"https://orcid.org/0000-0003-1878-3536"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Helmy","raw_affiliation_strings":["CISE, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"CISE, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109426969"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.243217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"51","issue":null,"first_page":"1756","last_page":"1761"},"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":0.9976999759674072,"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":0.9976999759674072,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hurst-exponent","display_name":"Hurst exponent","score":0.8851363658905029},{"id":"https://openalex.org/keywords/self-similarity","display_name":"Self-similarity","score":0.7460770010948181},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.641062319278717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6150458455085754},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.6014166474342346},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5309951305389404},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44033342599868774},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4361916184425354},{"id":"https://openalex.org/keywords/metropolitan-area","display_name":"Metropolitan area","score":0.422878623008728},{"id":"https://openalex.org/keywords/gamma-distribution","display_name":"Gamma distribution","score":0.4225372076034546},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2507617175579071},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17577311396598816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17059150338172913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16379818320274353},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13166362047195435},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0893307626247406}],"concepts":[{"id":"https://openalex.org/C96835011","wikidata":"https://www.wikidata.org/wiki/Q1638718","display_name":"Hurst exponent","level":2,"score":0.8851363658905029},{"id":"https://openalex.org/C119453123","wikidata":"https://www.wikidata.org/wiki/Q262372","display_name":"Self-similarity","level":2,"score":0.7460770010948181},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.641062319278717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6150458455085754},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.6014166474342346},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5309951305389404},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44033342599868774},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4361916184425354},{"id":"https://openalex.org/C158739034","wikidata":"https://www.wikidata.org/wiki/Q1907114","display_name":"Metropolitan area","level":2,"score":0.422878623008728},{"id":"https://openalex.org/C149717495","wikidata":"https://www.wikidata.org/wiki/Q117806","display_name":"Gamma distribution","level":2,"score":0.4225372076034546},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2507617175579071},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17577311396598816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17059150338172913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16379818320274353},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13166362047195435},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0893307626247406},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iwcmc.2013.6583822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2013.6583822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-64185","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2013&rft.spage=1756&rft.aulast=Thakur&rft.aufirst=Gautam%20S.%7C&rft.atitle=On%20the%20Existence%20of%20Self-similarity%20in%20Large-scale%20Vehicular%20Networks&rft.title=2013%209th%20International%20Wireless%20Communications%20and%20Mobile%20Computing%20Conference%20(IWCMC%202013)","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1499963479","https://openalex.org/W1508960934","https://openalex.org/W1548151607","https://openalex.org/W1662052757","https://openalex.org/W1990996079","https://openalex.org/W2000042664","https://openalex.org/W2022702709","https://openalex.org/W2029510535","https://openalex.org/W2051310107","https://openalex.org/W2078768728","https://openalex.org/W2086921236","https://openalex.org/W2097677018","https://openalex.org/W2098936920","https://openalex.org/W2102625004","https://openalex.org/W2132987094","https://openalex.org/W2140160872","https://openalex.org/W2149851420","https://openalex.org/W2158403369","https://openalex.org/W2164705047","https://openalex.org/W2166481425","https://openalex.org/W2166978545","https://openalex.org/W2588268614","https://openalex.org/W3103362336","https://openalex.org/W4255375128","https://openalex.org/W6636927220","https://openalex.org/W6681969578","https://openalex.org/W6683588123"],"related_works":["https://openalex.org/W2377886499","https://openalex.org/W1602918169","https://openalex.org/W2127392574","https://openalex.org/W1506543445","https://openalex.org/W2573791844","https://openalex.org/W2149756718","https://openalex.org/W113696316","https://openalex.org/W2089746424","https://openalex.org/W3047008523","https://openalex.org/W2942466631"],"abstract_inverted_index":{"Future":[0],"vehicular":[1,18,88,106,182],"networks":[2],"shall":[3,202],"enable":[4],"new":[5],"classes":[6],"of":[7,27,48,53,56,121,178,190,211],"services":[8,193],"and":[9,13,25,30,37,80,92,116,132,176,184,194],"applications":[10,195],"for":[11,196,208],"car-to-car":[12],"car-to-roadside":[14],"communication.":[15],"The":[16,69,86],"underlying":[17],"mobility":[19,47],"patterns":[20,155],"significantly":[21],"impact":[22],"the":[23,46,67,101,105,139,153,174,179,188,197,209],"operation":[24],"effectiveness":[26],"these":[28,122],"services,":[29],"hence":[31],"it":[32,201],"is":[33,98,167],"essential":[34],"to":[35,129],"model":[36],"characterize":[38],"such":[39,112],"patterns.":[40],"In":[41,199],"this":[42,166],"paper,":[43],"we":[44,135],"examine":[45],"vehicles":[49],"as":[50,113],"a":[51,125,204],"function":[52],"traffic":[54,70,154],"density":[55,89,107],"more":[57,75],"than":[58,76],"800":[59],"locations":[60],"from":[61,74],"six":[62],"major":[63],"metropolitan":[64],"regions":[65],"around":[66],"world.":[68],"densities":[71],"are":[72,94,156],"generated":[73],"25":[77],"million":[78],"images":[79],"processed":[81],"using":[82,100],"background":[83],"subtraction":[84],"algorithm.":[85],"resulting":[87],"time":[90],"series":[91],"distributions":[93,111],"then":[95],"analyzed.":[96],"It":[97],"found":[99],"goodness-of-fit":[102],"test":[103],"that":[104,152],"distribution":[108],"follows":[109],"heavy-tail":[110,126],"Log-gamma,":[114],"Log-logistic,":[115],"Weibull":[117],"in":[118,187],"over":[119],"90%":[120],"locations.":[123],"Moreover,":[124],"gives":[127],"rise":[128],"long-range":[130],"dependence":[131],"self-similarity,":[133],"which":[134,171],"studied":[136],"by":[137],"estimating":[138],"Hurst":[140,149],"exponent":[141],"(H).":[142],"Our":[143],"analysis":[144],"based":[145],"on":[146],"seven":[147],"different":[148],"estimators":[150],"signifies":[151],"stochastically":[157],"self-similar":[158],"(0.5":[159],"\u2264":[160,162],"H":[161],"1.0).":[163],"We":[164],"believe":[165],"an":[168],"important":[169],"finding,":[170],"will":[172],"influence":[173],"design":[175],"deployment":[177],"next":[180],"generation":[181],"network":[183],"also":[185],"aid":[186],"development":[189,210],"opportunistic":[191],"communication":[192],"vehicles.":[198],"addition,":[200],"provide":[203],"much":[205],"needed":[206],"input":[207],"smart":[212],"cities.":[213]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
