{"id":"https://openalex.org/W4405180094","doi":"https://doi.org/10.1109/tvt.2024.3512457","title":"Roads Digital Twin: Predictive Situational Awareness Using 360$^{\\circ }$ Video Streaming and Graph Neural Networks","display_name":"Roads Digital Twin: Predictive Situational Awareness Using 360$^{\\circ }$ Video Streaming and Graph Neural Networks","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4405180094","doi":"https://doi.org/10.1109/tvt.2024.3512457"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2024.3512457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3512457","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/TVT.2024.3512457","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067906652","display_name":"Sotirios Messinis","orcid":"https://orcid.org/0000-0001-5998-2940"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Sotirios Messinis","raw_affiliation_strings":["School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Zografou, Greece"],"raw_orcid":"https://orcid.org/0000-0001-5998-2940","affiliations":[{"raw_affiliation_string":"School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013838068","display_name":"Oussama El Marai","orcid":"https://orcid.org/0000-0002-9837-6908"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Oussama El Marai","raw_affiliation_strings":["Department of Communications and Networking, School of Electrical Engineering, Aalto University, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications and Networking, School of Electrical Engineering, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046775026","display_name":"Nicholas \u0395. Protonotarios","orcid":"https://orcid.org/0000-0002-7701-5644"},"institutions":[{"id":"https://openalex.org/I206127235","display_name":"Academy of Athens","ror":"https://ror.org/00qsdn986","country_code":"GR","type":"education","lineage":["https://openalex.org/I206127235"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nicholas E. Protonotarios","raw_affiliation_strings":["Mathematics Research Center, Academy of Athens, Athina, Greece"],"raw_orcid":"https://orcid.org/0000-0002-7701-5644","affiliations":[{"raw_affiliation_string":"Mathematics Research Center, Academy of Athens, Athina, Greece","institution_ids":["https://openalex.org/I206127235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087043869","display_name":"Tarik Taleb","orcid":"https://orcid.org/0000-0003-1119-1239"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tarik Taleb","raw_affiliation_strings":["Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum, Bochum, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1119-1239","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033117805","display_name":"Nikolaos Doulamis","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Doulamis","raw_affiliation_strings":["School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Zografou, Greece"],"raw_orcid":"https://orcid.org/0000-0002-4064-8990","affiliations":[{"raw_affiliation_string":"School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5336,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62565078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"74","issue":"4","first_page":"5558","last_page":"5571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9968000054359436,"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":0.9968000054359436,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9793999791145325,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/artificial-neural-network","display_name":"Artificial neural network","score":0.605516791343689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5140396356582642},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.5112047791481018},{"id":"https://openalex.org/keywords/situation-awareness","display_name":"Situation awareness","score":0.5110794305801392},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4844377338886261},{"id":"https://openalex.org/keywords/video-streaming","display_name":"Video streaming","score":0.4477064609527588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36575353145599365},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.2896488904953003},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.224076509475708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16806834936141968},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16316527128219604},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09847143292427063}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.605516791343689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5140396356582642},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.5112047791481018},{"id":"https://openalex.org/C145804949","wikidata":"https://www.wikidata.org/wiki/Q478123","display_name":"Situation awareness","level":2,"score":0.5110794305801392},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4844377338886261},{"id":"https://openalex.org/C2986160907","wikidata":"https://www.wikidata.org/wiki/Q220499","display_name":"Video streaming","level":2,"score":0.4477064609527588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36575353145599365},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2896488904953003},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.224076509475708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16806834936141968},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16316527128219604},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09847143292427063},{"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/tvt.2024.3512457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3512457","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:17592785","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TVT.2024.3512457","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"IEEE Transactions on Vehicular Technology, 74(4), 5558 - 5571, (2024-12-09)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:17592785","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TVT.2024.3512457","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"IEEE Transactions on Vehicular Technology, 74(4), 5558 - 5571, (2024-12-09)","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2156483112","https://openalex.org/W2587442988","https://openalex.org/W2907492528","https://openalex.org/W2908983482","https://openalex.org/W2968779794","https://openalex.org/W2969435864","https://openalex.org/W3039011740","https://openalex.org/W3107642408","https://openalex.org/W3117161702","https://openalex.org/W3122846486","https://openalex.org/W3129807942","https://openalex.org/W3132718927","https://openalex.org/W3152893301","https://openalex.org/W3180838358","https://openalex.org/W3183579615","https://openalex.org/W3184562795","https://openalex.org/W3196390861","https://openalex.org/W3201859961","https://openalex.org/W3202260698","https://openalex.org/W4206174554","https://openalex.org/W4206209964","https://openalex.org/W4210389721","https://openalex.org/W4210528607","https://openalex.org/W4210680895","https://openalex.org/W4211009987","https://openalex.org/W4212985030","https://openalex.org/W4214895168","https://openalex.org/W4224324151","https://openalex.org/W4281674651","https://openalex.org/W4285102480","https://openalex.org/W4288768831","https://openalex.org/W4293094516","https://openalex.org/W4293150089","https://openalex.org/W4306377054","https://openalex.org/W4311846487","https://openalex.org/W4312365266","https://openalex.org/W4313011317","https://openalex.org/W4313041951","https://openalex.org/W4313855634","https://openalex.org/W4321021068","https://openalex.org/W4322731399","https://openalex.org/W4323064953","https://openalex.org/W4324116556","https://openalex.org/W4324134909","https://openalex.org/W4327743390","https://openalex.org/W4362725516","https://openalex.org/W4366256746","https://openalex.org/W4376118141","https://openalex.org/W4379538705","https://openalex.org/W4382467756","https://openalex.org/W4382677748","https://openalex.org/W4385151905","https://openalex.org/W4387592386","https://openalex.org/W4389230720","https://openalex.org/W4400954710","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6768870957","https://openalex.org/W6774869656","https://openalex.org/W6797465932","https://openalex.org/W6801290789"],"related_works":["https://openalex.org/W3024912289","https://openalex.org/W2415747217","https://openalex.org/W2143767096","https://openalex.org/W2561023719","https://openalex.org/W4382644910","https://openalex.org/W2094708502","https://openalex.org/W1542973883","https://openalex.org/W4399389982","https://openalex.org/W2085357910","https://openalex.org/W3193592231"],"abstract_inverted_index":{"As":[0],"vehicle":[1],"technologies":[2],"rapidly":[3],"advance,":[4],"video":[5,108],"streaming":[6,23,37,56,109,181,238],"capabilities":[7],"emerge":[8],"as":[9,246],"a":[10,78,232],"significant":[11],"feature":[12],"of":[13,20,96,114,120,145,160,180,187,193,199,210],"modern":[14],"on-board":[15],"vehicular":[16,131],"systems.":[17,252],"The":[18],"integration":[19],"360$^{\\circ":[21,54],"}$video":[22,55],"in":[24,61,68,172],"vehicles":[25,182,248],"is":[26,94,231],"expected":[27],"to":[28,63,189,212],"enhance":[29,64],"road":[30,69,99],"situational":[31,66],"awareness,":[32],"by":[33],"providing":[34],"panoramic":[35],"live":[36],"and":[38,111,154,176,249],"recording":[39],"capabilities.":[40],"This":[41],"paper":[42],"introduces":[43],"the":[44,51,118,142,146,149,155],"concept":[45],"ofroads":[46],"digital":[47],"twin,":[48],"combining,":[49],"for":[50,177,196,215,235,243],"first":[52],"time,":[53],"with":[57,90,207],"graph":[58,81,87],"neural":[59,88],"networks,":[60],"order":[62],"predictive":[65],"awareness":[67],"environments.":[70],"To":[71],"this":[72],"end,":[73],"we":[74,124,137],"have":[75],"developed":[76],"eGAT,":[77],"selective":[79],"edge-enhanced":[80],"attention":[82,91],"network":[83],"architecture,":[84],"that":[85,105,229],"uses":[86],"networks":[89],"mechanisms.":[92],"eGAT":[93,164,202,219,230],"capable":[95],"effectively":[97],"predicting":[98],"coverage,":[100],"considering":[101,129],"uplink":[102],"bandwidth":[103],"limitations":[104],"may":[106],"affect":[107],"quality":[110,113],"user":[112],"experience":[115],"(QoE).":[116],"For":[117,133],"evaluation":[119],"our":[121],"novel":[122],"method,":[123],"utilized":[125],"four":[126],"different":[127],"datasets,":[128],"several":[130],"scenarios.":[132],"performance":[134,168],"comparison":[135],"purposes,":[136],"employed":[138],"three":[139],"metrics,":[140],"namely":[141],"overall":[143,161],"percentage":[144],"covered":[147],"region,":[148],"normalized":[150],"mutual":[151],"information":[152],"(NMI),":[153],"precision-recall":[156],"scores.":[157],"In":[158,191],"terms":[159,192],"coverage":[162,167,224],"percentage,":[163],"provided":[165],"superior":[166],"against":[169],"similar":[170,204],"studies":[171],"all":[173,178],"nine":[174],"scenarios":[175,236],"numbers":[179],"investigated,":[183],"reaching":[184],"an":[185,208],"increase":[186,209],"up":[188,211],"32.3%.":[190],"NMI":[194],"score,":[195],"low":[197],"values":[198],"prediction":[200,217],"horizon,":[201],"outperformed":[203],"attention-based":[205],"algorithms,":[206],"29.6%,":[213],"whereas":[214],"larger":[216],"horizons,":[218],"presented":[220],"lower,":[221],"however":[222],"comparable,":[223],"performance.":[225],"Our":[226],"results":[227],"suggest":[228],"promising":[233],"solution":[234],"involving":[237],"vehicles,":[239],"showcasing":[240],"its":[241],"potential":[242],"applications,":[244],"such":[245],"autonomous":[247],"traffic":[250],"management":[251]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}