{"id":"https://openalex.org/W2804659757","doi":"https://doi.org/10.1109/tits.2018.2813364","title":"A Rear-End Collision Risk Evaluation and Control Scheme Using a Bayesian Network Model","display_name":"A Rear-End Collision Risk Evaluation and Control Scheme Using a Bayesian Network Model","publication_year":2018,"publication_date":"2018-05-23","ids":{"openalex":"https://openalex.org/W2804659757","doi":"https://doi.org/10.1109/tits.2018.2813364","mag":"2804659757"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2018.2813364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2813364","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/A5111598130","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0002-4971-5029"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-4971-5029","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042931521","display_name":"Xiaomin Liu","orcid":"https://orcid.org/0000-0002-4520-0415"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Liu","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084739355","display_name":"Hsiao\u2010Hwa Chen","orcid":"https://orcid.org/0000-0001-8473-0729"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiao-Hwa Chen","raw_affiliation_strings":["Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-8473-0729","affiliations":[{"raw_affiliation_string":"Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031147177","display_name":"Meilian Li","orcid":"https://orcid.org/0009-0007-5899-5599"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meilian Li","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014340318","display_name":"Liqiang Zhao","orcid":"https://orcid.org/0000-0002-3374-6066"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqiang Zhao","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-3374-6066","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5355,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.95794682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"20","issue":"1","first_page":"264","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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/T10370","display_name":"Traffic and Road Safety","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.7815029621124268},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.7576314210891724},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6997886300086975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6355916261672974},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6318503618240356},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5513128042221069},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.5139169692993164},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4686889946460724},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.38201647996902466},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35455989837646484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2731105089187622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23352175951004028},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09542384743690491}],"concepts":[{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.7815029621124268},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.7576314210891724},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6997886300086975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6355916261672974},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6318503618240356},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5513128042221069},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.5139169692993164},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4686889946460724},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.38201647996902466},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35455989837646484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2731105089187622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23352175951004028},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09542384743690491}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2018.2813364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2813364","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":[],"awards":[{"id":"https://openalex.org/G1376233665","display_name":null,"funder_award_id":"2016YFE0123000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3654265408","display_name":null,"funder_award_id":"2014JM2-6089","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G4646743641","display_name":null,"funder_award_id":"106-2221-E-006-021-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G5238802353","display_name":null,"funder_award_id":"106-2221-E-006-028-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G6411212857","display_name":null,"funder_award_id":"U1709218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6538997798","display_name":"\u9762\u5411\u7269\u8054\u7f51\u4e2d\u5927\u89c4\u6a21\u5f02\u6784\u611f\u77e5\u7f51\u7edc\u9c81\u68d2\u6027\u6a21\u578b\u4e0e\u7b56\u7565\u7814\u7a76","funder_award_id":"61672131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6771511123","display_name":null,"funder_award_id":"61201133","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7843701004","display_name":null,"funder_award_id":"61571338","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":99,"referenced_works":["https://openalex.org/W34678172","https://openalex.org/W264859359","https://openalex.org/W317797924","https://openalex.org/W1496450597","https://openalex.org/W1560292148","https://openalex.org/W1561097444","https://openalex.org/W1957194650","https://openalex.org/W1965065884","https://openalex.org/W1965500412","https://openalex.org/W1971843595","https://openalex.org/W1975133966","https://openalex.org/W1976480913","https://openalex.org/W1980013827","https://openalex.org/W1980566155","https://openalex.org/W1986899407","https://openalex.org/W1989805652","https://openalex.org/W1990616364","https://openalex.org/W1990895942","https://openalex.org/W1995336017","https://openalex.org/W1996760911","https://openalex.org/W1997074858","https://openalex.org/W2000314736","https://openalex.org/W2002806733","https://openalex.org/W2007926307","https://openalex.org/W2009153644","https://openalex.org/W2010466144","https://openalex.org/W2010733489","https://openalex.org/W2017259260","https://openalex.org/W2023601590","https://openalex.org/W2029276435","https://openalex.org/W2030525099","https://openalex.org/W2032891121","https://openalex.org/W2039276979","https://openalex.org/W2040026814","https://openalex.org/W2048923469","https://openalex.org/W2051056113","https://openalex.org/W2053405531","https://openalex.org/W2059361056","https://openalex.org/W2060010113","https://openalex.org/W2061944556","https://openalex.org/W2065770043","https://openalex.org/W2067173632","https://openalex.org/W2067226055","https://openalex.org/W2067996669","https://openalex.org/W2070463402","https://openalex.org/W2076648161","https://openalex.org/W2078266257","https://openalex.org/W2078853357","https://openalex.org/W2079720599","https://openalex.org/W2080697854","https://openalex.org/W2083133775","https://openalex.org/W2086148795","https://openalex.org/W2087223902","https://openalex.org/W2089790959","https://openalex.org/W2093912930","https://openalex.org/W2095293036","https://openalex.org/W2107308460","https://openalex.org/W2108421269","https://openalex.org/W2109014690","https://openalex.org/W2109621887","https://openalex.org/W2111959010","https://openalex.org/W2112121851","https://openalex.org/W2112278556","https://openalex.org/W2113612236","https://openalex.org/W2120430513","https://openalex.org/W2122362215","https://openalex.org/W2130333286","https://openalex.org/W2131076267","https://openalex.org/W2131918613","https://openalex.org/W2135471708","https://openalex.org/W2140242774","https://openalex.org/W2142139268","https://openalex.org/W2144731007","https://openalex.org/W2145465062","https://openalex.org/W2146575011","https://openalex.org/W2147175929","https://openalex.org/W2159691338","https://openalex.org/W2159985326","https://openalex.org/W2162508706","https://openalex.org/W2169677720","https://openalex.org/W2315099643","https://openalex.org/W2317650191","https://openalex.org/W2344243544","https://openalex.org/W2400500060","https://openalex.org/W2422659833","https://openalex.org/W2512113942","https://openalex.org/W2514882773","https://openalex.org/W2525936901","https://openalex.org/W2979006918","https://openalex.org/W4214774854","https://openalex.org/W4236354166","https://openalex.org/W4250151216","https://openalex.org/W6611075484","https://openalex.org/W6629759543","https://openalex.org/W6640865918","https://openalex.org/W6676959145","https://openalex.org/W6683635070","https://openalex.org/W6712906229","https://openalex.org/W6768650569"],"related_works":["https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W3005999311","https://openalex.org/W2578973671","https://openalex.org/W2215058820","https://openalex.org/W2945000716","https://openalex.org/W2097663773","https://openalex.org/W1602184117","https://openalex.org/W2564827943","https://openalex.org/W2511198839"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,37,48,62,66,87,229],"probabilistic":[4,50],"decision-making":[5],"framework":[6,112],"for":[7,74,224],"rear-end":[8,210,248],"collision":[9,43,79,128,175,211,226],"avoidance":[10,176],"systems,":[11],"focusing":[12],"on":[13,21,27,209,247],"modeling":[14],"the":[15,22,55,82,106,121,137,150,152,178,188,191,204,217,236],"impact":[16,205],"of":[17,24,54,162,206,238],"major":[18],"collision-causing":[19],"factors":[20],"occurrence":[23],"accidents.":[25],"Decisions":[26],"when":[28],"and":[29,100,132,146,168,244],"how":[30],"to":[31,42,102,115,173,184,202],"assist":[32],"drivers":[33],"are":[34,154],"made":[35],"using":[36,61,86],"Bayesian":[38,56],"network":[39,57],"approach":[40],"according":[41],"risk":[44,129,227],"evaluation":[45],"results,":[46],"given":[47],"prior":[49],"knowledge.":[51],"The":[52,91],"structure":[53],"model":[58,139,180,219],"is":[59,94,140,181,193],"learnt":[60],"K2":[63],"algorithm":[64,192],"with":[65,96,105,159,199,228],"practical":[67,116],"dataset.":[68,108],"To":[69,109],"provide":[70],"adequate":[71],"response":[72,166],"time":[73],"drivers,":[75],"we":[76,118],"also":[77,119,182],"predict":[78],"probability":[80],"in":[81,156],"next":[83],"monitoring":[84],"interval":[85],"Kalman":[88],"filter":[89],"model.":[90],"prediction":[92],"accuracy":[93],"evaluated":[95,141],"different":[97,157],"use":[98],"cases":[99],"compared":[101,183],"real":[103],"scenarios":[104,158],"obtained":[107],"make":[110],"our":[111],"more":[113],"relevant":[114],"applications,":[117],"discuss":[120],"corresponding":[122],"safety":[123],"control":[124],"strategies":[125],"by":[126],"classifying":[127],"into":[130,195,234],"high":[131],"low":[133,231],"levels.":[134],"In":[135,149,171,187],"addition,":[136],"proposed":[138,179,218],"through":[142],"experiments":[143],"including":[144],"simulations":[145],"road":[147,189],"tests.":[148],"simulations,":[151],"algorithms":[153],"tested":[155],"various":[160],"configurations":[161],"weather":[163],"conditions,":[164],"driver":[165,241],"capability,":[167],"vehicular":[169],"dynamics.":[170],"order":[172],"demonstrate":[174],"performance,":[177],"existing":[185],"schemes.":[186],"tests,":[190],"embedded":[194],"an":[196,221],"unmanned":[197],"vehicle":[198,239],"predefined":[200],"parameters":[201],"evaluate":[203],"computational":[207],"complexity":[208],"avoidance.":[212],"Numerical":[213],"results":[214],"show":[215],"that":[216],"provides":[220],"accurate":[222],"estimation":[223],"car-following":[225],"relatively":[230],"complexity,":[232],"taking":[233],"account":[235],"impacts":[237],"dynamics,":[240],"reaction":[242],"capacity,":[243],"external":[245],"environment":[246],"collisions.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
