{"id":"https://openalex.org/W2004545842","doi":"https://doi.org/10.4304/jcp.7.7.1726-1732","title":"Bayesian Network Based Threat Assessment Method for Vehicle","display_name":"Bayesian Network Based Threat Assessment Method for Vehicle","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2004545842","doi":"https://doi.org/10.4304/jcp.7.7.1726-1732","mag":"2004545842"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.7.7.1726-1732","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.7.7.1726-1732","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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/A5077874663","display_name":"Ming Cen","orcid":"https://orcid.org/0000-0001-6297-7886"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming Cen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101521014","display_name":"Yanan Guo","orcid":"https://orcid.org/0000-0002-9299-5847"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanan Guo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111928867","display_name":"Kun Lu","orcid":"https://orcid.org/0000-0001-9990-842X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kun Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.10433038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9848999977111816,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9776999950408936,"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/computer-science","display_name":"Computer science","score":0.7859317660331726},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.7656799554824829},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5676199197769165},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.5550588965415955},{"id":"https://openalex.org/keywords/threat-assessment","display_name":"Threat assessment","score":0.5290417075157166},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"Conditional probability","score":0.5111764073371887},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4123815596103668},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3796687722206116},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3239538073539734},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2828153669834137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28077465295791626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2805030047893524},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09727856516838074},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08490943908691406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08444273471832275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7859317660331726},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7656799554824829},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5676199197769165},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.5550588965415955},{"id":"https://openalex.org/C2778868856","wikidata":"https://www.wikidata.org/wiki/Q18394273","display_name":"Threat assessment","level":2,"score":0.5290417075157166},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.5111764073371887},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4123815596103668},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3796687722206116},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3239538073539734},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2828153669834137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28077465295791626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2805030047893524},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09727856516838074},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08490943908691406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08444273471832275},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.7.7.1726-1732","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.7.7.1726-1732","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1572743463","https://openalex.org/W1749676856","https://openalex.org/W1985574396","https://openalex.org/W1992958341","https://openalex.org/W2120096422","https://openalex.org/W2131987862","https://openalex.org/W2143075689","https://openalex.org/W2348780218","https://openalex.org/W2366383338","https://openalex.org/W2373788750","https://openalex.org/W3008810318","https://openalex.org/W6634208959","https://openalex.org/W6637679536","https://openalex.org/W6648410800","https://openalex.org/W6679698058","https://openalex.org/W6708087536","https://openalex.org/W6774426265"],"related_works":["https://openalex.org/W3128072696","https://openalex.org/W2578973671","https://openalex.org/W2215058820","https://openalex.org/W2137256417","https://openalex.org/W2097663773","https://openalex.org/W4285084075","https://openalex.org/W1602184117","https://openalex.org/W2413421635","https://openalex.org/W2379086281","https://openalex.org/W2047512337"],"abstract_inverted_index":{"An":[0],"exact":[1],"threat":[2,40,68,84,106],"level":[3,69,107],"assessment":[4],"method":[5,33,79,102],"is":[6,17,63],"necessary":[7],"to":[8,34,65],"improve":[9,35],"safety":[10,49],"of":[11,38,70,77,86,108,117],"vehicles,":[12],"but":[13],"the":[14,36,43,67,78,101,105,115],"traffic":[15],"environment":[16],"not":[18],"taken":[19],"into":[20],"account":[21],"adequately":[22],"in":[23],"existing":[24],"approaches.":[25],"This":[26],"paper":[27],"presents":[28],"a":[29,53],"Bayesian":[30,54],"network":[31,55],"based":[32],"effect":[37],"vehicles":[39,87,109],"evaluation.":[41],"In":[42],"method,":[44],"various":[45],"factors":[46,59,62,90],"threatening":[47],"vehicle":[48,61],"are":[50,80],"analyzed,":[51],"and":[52,60,111],"model":[56],"with":[57],"environmental":[58],"introduced":[64],"describe":[66],"vehicles.":[71],"The":[72],"local":[73],"conditional":[74],"probability":[75],"tables":[76],"given":[81],"also.":[82],"Then":[83],"index":[85],"integrating":[88],"multiple":[89],"can":[91,103],"be":[92],"obtained":[93],"by":[94],"Message-passing":[95],"algorithm.":[96],"Experimental":[97],"results":[98],"show":[99],"that":[100],"reflect":[104],"accurately,":[110],"calculational":[112],"costs":[113],"meet":[114],"requirement":[116],"real-time":[118],"application.":[119]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}