{"id":"https://openalex.org/W7123762737","doi":"https://doi.org/10.3390/systems14010087","title":"Minimum Risk Maneuver Strategy for Automated Driving System Under Multiple Conditions of Sensor Failure","display_name":"Minimum Risk Maneuver Strategy for Automated Driving System Under Multiple Conditions of Sensor Failure","publication_year":2026,"publication_date":"2026-01-13","ids":{"openalex":"https://openalex.org/W7123762737","doi":"https://doi.org/10.3390/systems14010087"},"language":"en","primary_location":{"id":"doi:10.3390/systems14010087","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems14010087","pdf_url":"https://www.mdpi.com/2079-8954/14/1/87/pdf","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-8954/14/1/87/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122934576","display_name":"Junjie Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junjie Tang","raw_affiliation_strings":["Graduate School of System Design and Management, Keio University, Kanagawa 223-8526, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Design and Management, Keio University, Kanagawa 223-8526, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122954957","display_name":"Chengxin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chengxin Yang","raw_affiliation_strings":["Graduate School of System Design and Management, Keio University, Kanagawa 223-8526, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Design and Management, Keio University, Kanagawa 223-8526, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122957019","display_name":"Hidekazu Nishimura","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidekazu Nishimura","raw_affiliation_strings":["Graduate School of System Design and Management, Keio University, Kanagawa 223-8526, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1962-2646","affiliations":[{"raw_affiliation_string":"Graduate School of System Design and Management, Keio University, Kanagawa 223-8526, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04147089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"1","first_page":"87","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.7825000286102295,"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":0.7825000286102295,"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/T10524","display_name":"Traffic control and management","score":0.0892999991774559,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.042500000447034836,"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/operability","display_name":"Operability","score":0.5864999890327454},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.5583999752998352},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.492900013923645},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.47269999980926514},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.34709998965263367},{"id":"https://openalex.org/keywords/hazardous-waste","display_name":"Hazardous waste","score":0.3122999966144562},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.3034000098705292}],"concepts":[{"id":"https://openalex.org/C126231374","wikidata":"https://www.wikidata.org/wiki/Q1061298","display_name":"Operability","level":2,"score":0.5864999890327454},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.5583999752998352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5472000241279602},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.492900013923645},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.47269999980926514},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.41100001335144043},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37299999594688416},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.34709998965263367},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.34599998593330383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33219999074935913},{"id":"https://openalex.org/C22507642","wikidata":"https://www.wikidata.org/wiki/Q1069369","display_name":"Hazardous waste","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3075999915599823},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.3034000098705292},{"id":"https://openalex.org/C199668693","wikidata":"https://www.wikidata.org/wiki/Q1550329","display_name":"Collision detection","level":3,"score":0.30090001225471497},{"id":"https://openalex.org/C206355099","wikidata":"https://www.wikidata.org/wiki/Q3614972","display_name":"Hazard analysis","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C2777488183","wikidata":"https://www.wikidata.org/wiki/Q6900510","display_name":"Safety monitoring","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2752000093460083},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.25209999084472656},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/systems14010087","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems14010087","pdf_url":"https://www.mdpi.com/2079-8954/14/1/87/pdf","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c110484e40e04f11a37f82068bb4f1a9","is_oa":true,"landing_page_url":"https://doaj.org/article/c110484e40e04f11a37f82068bb4f1a9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Systems, Vol 14, Iss 1, p 87 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/systems14010087","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems14010087","pdf_url":"https://www.mdpi.com/2079-8954/14/1/87/pdf","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7123762737.pdf","grobid_xml":"https://content.openalex.org/works/W7123762737.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1971538272","https://openalex.org/W2896214412","https://openalex.org/W2896846198","https://openalex.org/W2979810270","https://openalex.org/W3098057716","https://openalex.org/W3113727404","https://openalex.org/W3133190857","https://openalex.org/W3191343975","https://openalex.org/W3193501028","https://openalex.org/W4285275006","https://openalex.org/W4301594910","https://openalex.org/W4308080011","https://openalex.org/W4319296642","https://openalex.org/W4385312751","https://openalex.org/W4385493387","https://openalex.org/W4385731065","https://openalex.org/W4401394214","https://openalex.org/W4406866343","https://openalex.org/W4406890548"],"related_works":[],"abstract_inverted_index":{"To":[0],"ensure":[1],"the":[2,87,96,153,167,173],"safety":[3,55,89],"of":[4,13],"vehicles":[5],"and":[6,65,85,108,124,127],"occupants":[7],"under":[8,59],"failures":[9,43],"or":[10],"functional":[11,169],"limitations":[12],"ego":[14,174],"vehicles,":[15],"a":[16,25,136],"minimum":[17,179],"risk":[18,110,160,180],"maneuver":[19],"(MRM)":[20],"has":[21],"been":[22],"proposed":[23,47,97,154],"as":[24],"key":[26],"automated":[27],"driving":[28],"system":[29],"(ADS)":[30],"function.":[31],"However,":[32],"executing":[33],"an":[34,48,71,177],"MRM":[35,49,57,113,155,183],"may":[36],"pose":[37],"certain":[38],"potential":[39,82,106],"risks":[40,90],"when":[41],"sensor":[42,93,147],"occur.":[44],"This":[45],"study":[46,67],"strategy":[50,131,156],"designed":[51],"to":[52,77,103,171],"enhance":[53],"highway-driving":[54],"during":[56,182],"execution":[58],"multiple":[60],"sensor-failure":[61],"conditions.":[62],"A":[63],"hazard":[64],"operability":[66],"analysis,":[68],"based":[69],"on":[70],"ADS":[72],"behavior":[73,114],"model,":[74],"is":[75,115,132],"conducted":[76],"systematically":[78],"identify":[79],"hazards,":[80],"determine":[81],"hazardous":[83,162],"events,":[84],"categorize":[86],"associated":[88],"arising":[91],"from":[92],"failures.":[94,148],"Within":[95],"strategy,":[98],"virtual":[99],"objects":[100,123],"are":[101],"generated":[102],"account":[104],"for":[105],"hazards":[107],"support":[109],"assessments.":[111],"Adaptive":[112],"determined":[116],"in":[117,161],"real":[118],"time":[119,128],"by":[120,134],"analyzing":[121],"surrounding":[122],"evaluating":[125],"time-to-collision":[126],"headway.":[129],"The":[130,149],"verified":[133],"using":[135],"MATLAB\u2013CARLA":[137],"co-simulation":[138],"environment":[139],"across":[140],"three":[141],"representative":[142],"highway":[143],"scenarios":[144,163],"with":[145],"combined":[146],"result":[150],"demonstrates":[151],"that":[152],"can":[157],"mitigate":[158],"collision":[159],"while":[164],"effectively":[165],"leveraging":[166],"remaining":[168],"sensors":[170],"guide":[172],"vehicle":[175],"toward":[176],"appropriate":[178],"condition":[181],"execution.":[184]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-14T00:00:00"}
