{"id":"https://openalex.org/W2343450536","doi":"https://doi.org/10.1109/tits.2015.2502601","title":"Attention Assist: A High-Level Information Fusion Framework for Situation and Threat Assessment in Vehicular Ad Hoc Networks","display_name":"Attention Assist: A High-Level Information Fusion Framework for Situation and Threat Assessment in Vehicular Ad Hoc Networks","publication_year":2015,"publication_date":"2015-12-17","ids":{"openalex":"https://openalex.org/W2343450536","doi":"https://doi.org/10.1109/tits.2015.2502601","mag":"2343450536"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2015.2502601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2015.2502601","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-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/A5057767575","display_name":"Keyvan Golestan","orcid":"https://orcid.org/0000-0001-5520-3006"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Keyvan Golestan","raw_affiliation_strings":["Center for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5520-3006","affiliations":[{"raw_affiliation_string":"Center for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043461796","display_name":"Bahador Khaleghi","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bahador Khaleghi","raw_affiliation_strings":["Center for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070046659","display_name":"Fakhri Karray","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fakhri Karray","raw_affiliation_strings":["Center for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039318050","display_name":"Mohamed S. Kamel","orcid":"https://orcid.org/0000-0001-6173-8082"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed S. Kamel","raw_affiliation_strings":["Center for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":1.5549,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.85474709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"17","issue":"5","first_page":"1271","last_page":"1285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/vehicular-ad-hoc-network","display_name":"Vehicular ad hoc network","score":0.5443339943885803},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.5356663465499878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5045784711837769},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.47442927956581116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2302282750606537},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15897917747497559}],"concepts":[{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.5443339943885803},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.5356663465499878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5045784711837769},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.47442927956581116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2302282750606537},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15897917747497559},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2015.2502601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2015.2502601","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.46000000834465027,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W40177556","https://openalex.org/W55702126","https://openalex.org/W79819859","https://openalex.org/W116278252","https://openalex.org/W152152015","https://openalex.org/W208765980","https://openalex.org/W1511986666","https://openalex.org/W1531707364","https://openalex.org/W1826365044","https://openalex.org/W1865476398","https://openalex.org/W1970207571","https://openalex.org/W1980020249","https://openalex.org/W1984464190","https://openalex.org/W1984912362","https://openalex.org/W1990292349","https://openalex.org/W1995376165","https://openalex.org/W2000644019","https://openalex.org/W2001722583","https://openalex.org/W2008308316","https://openalex.org/W2018988377","https://openalex.org/W2030525099","https://openalex.org/W2035665425","https://openalex.org/W2038420319","https://openalex.org/W2042328602","https://openalex.org/W2048023088","https://openalex.org/W2053181911","https://openalex.org/W2060083752","https://openalex.org/W2108196201","https://openalex.org/W2119202802","https://openalex.org/W2120286056","https://openalex.org/W2122092374","https://openalex.org/W2122991569","https://openalex.org/W2123581873","https://openalex.org/W2125896931","https://openalex.org/W2126726584","https://openalex.org/W2144357069","https://openalex.org/W2144992932","https://openalex.org/W2146338644","https://openalex.org/W2151337390","https://openalex.org/W2158099476","https://openalex.org/W2158394118","https://openalex.org/W2289685866","https://openalex.org/W3104550706","https://openalex.org/W4243521007","https://openalex.org/W4285719527","https://openalex.org/W6606112944","https://openalex.org/W6631826427","https://openalex.org/W6639334739","https://openalex.org/W6678456626","https://openalex.org/W6678519611","https://openalex.org/W6683353755"],"related_works":["https://openalex.org/W2027636740","https://openalex.org/W2062688728","https://openalex.org/W2061231656","https://openalex.org/W2771454953","https://openalex.org/W3046762796","https://openalex.org/W3202102306","https://openalex.org/W3046260513","https://openalex.org/W2998294818","https://openalex.org/W45347327","https://openalex.org/W4327774248"],"abstract_inverted_index":{"Driver":[0],"inattentiveness":[1],"constitutes":[2],"the":[3,28,48,56,63,72,75,82,86,131,141,144,157,183,197,224,227,238],"main":[4],"cause":[5],"of":[6,65,74,133,143,159,171,185,212,226],"road":[7,16,29],"accidents,":[8],"which":[9,61,110,155],"makes":[10],"it":[11,34],"a":[12,23,36,147,160,164,168,188,218],"major":[13],"factor":[14],"in":[15,78,116,163,178,187],"safety.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21],"propose":[22],"comprehensive":[24],"framework":[25,53,106,229],"to":[26,129,193,230],"address":[27],"safety":[30],"problem":[31],"by":[32,135],"tackling":[33],"from":[35],"high-level":[37,103],"information":[38,104,175],"fusion":[39,105],"standpoint,":[40],"considering":[41],"vehicular":[42],"ad":[43],"hoc":[44],"networks":[45,59,77],"(VANETs)":[46],"as":[47,89,91,215,217],"deployment":[49],"platform.":[50],"The":[51],"proposed":[52,108,145,228],"relies":[54],"on":[55,237],"multientity":[57],"Bayesian":[58,76],"(MEBNs),":[60],"exploit":[62],"expressiveness":[64],"first-order":[66],"logic":[67],"for":[68,205],"semantic":[69,96],"relations,":[70],"and":[71,95,113,173,209,234],"strength":[73],"handling":[79],"uncertainty.":[80],"First,":[81],"entities":[83],"that":[84],"influence":[85],"inattention":[87],"phenomenon,":[88],"well":[90,216],"both":[92],"their":[93,114,137],"causal":[94],"relationships,":[97],"are":[98,119],"identified.":[99],"Next,":[100],"an":[101],"MEBN-based":[102],"is":[107,127,191,199],"through":[109],"entities,":[111],"situations,":[112],"relationships":[115],"specific":[117],"contexts":[118],"modeled":[120],"using":[121,167],"MEBN":[122,125,221],"fragments.":[123],"Furthermore,":[124],"inference":[126],"used":[128],"assess":[130],"situations":[132],"interest":[134],"estimating":[136],"states.":[138],"To":[139],"demonstrate":[140,223],"capabilities":[142],"framework,":[146],"collision":[148],"warning":[149],"system":[150],"simulator":[151],"has":[152],"been":[153],"developed,":[154],"evaluates":[156],"likelihood":[158],"vehicle":[161],"being":[162,186],"near-collision":[165,189],"situation":[166,190,233],"wide":[169],"variety":[170],"local":[172],"global":[174],"sources":[176],"available":[177],"various":[179],"VANET":[180],"environments.":[181],"If":[182],"threat":[184,235],"determined":[192],"be":[194],"high,":[195],"then":[196],"driver":[198],"warned":[200],"accordingly.":[201],"Our":[202],"experimental":[203],"results":[204],"two":[206],"distinct":[207],"single-vehicle":[208],"multivehicle":[210],"categories":[211],"driving":[213],"scenarios,":[214],"novel":[219],"hybrid":[220],"inference,":[222],"capability":[225],"efficiently":[231],"achieve":[232],"assessment":[236],"road.":[239]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}