{"id":"https://openalex.org/W4367555254","doi":"https://doi.org/10.1587/transinf.2022dap0005","title":"Prioritization of Lane-Specific Traffic Jam Detection for Automotive Navigation Framework Utilizing Suddenness Index and Automatic Threshold Determination","display_name":"Prioritization of Lane-Specific Traffic Jam Detection for Automotive Navigation Framework Utilizing Suddenness Index and Automatic Threshold Determination","publication_year":2023,"publication_date":"2023-04-30","ids":{"openalex":"https://openalex.org/W4367555254","doi":"https://doi.org/10.1587/transinf.2022dap0005"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2022dap0005","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022dap0005","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/5/E106.D_2022DAP0005/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/5/E106.D_2022DAP0005/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091481647","display_name":"Aki HAYASHI","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Aki HAYASHI","raw_affiliation_strings":["NTT Smart Data Science Center"],"affiliations":[{"raw_affiliation_string":"NTT Smart Data Science Center","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058347439","display_name":"Yuki YOKOHATA","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuki YOKOHATA","raw_affiliation_strings":["NTT Smart Data Science Center"],"affiliations":[{"raw_affiliation_string":"NTT Smart Data Science Center","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082150374","display_name":"Takahiro HATA","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takahiro HATA","raw_affiliation_strings":["NTT Smart Data Science Center"],"affiliations":[{"raw_affiliation_string":"NTT Smart Data Science Center","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102379143","display_name":"Kouhei Mori","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kouhei MORI","raw_affiliation_strings":["NTT Smart Data Science Center"],"affiliations":[{"raw_affiliation_string":"NTT Smart Data Science Center","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069334468","display_name":"Masato KAMIYA","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masato KAMIYA","raw_affiliation_strings":["NTT Smart Data Science Center"],"affiliations":[{"raw_affiliation_string":"NTT Smart Data Science Center","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091481647"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3148,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53722967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"E106.D","issue":"5","first_page":"895","last_page":"903"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.8179125785827637},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5173072814941406},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.49962496757507324},{"id":"https://openalex.org/keywords/prioritization","display_name":"Prioritization","score":0.470614492893219},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4524376392364502},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09010931849479675},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07028034329414368}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8179125785827637},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5173072814941406},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49962496757507324},{"id":"https://openalex.org/C2777615720","wikidata":"https://www.wikidata.org/wiki/Q11888847","display_name":"Prioritization","level":2,"score":0.470614492893219},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4524376392364502},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09010931849479675},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07028034329414368},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.0},{"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:10.1587/transinf.2022dap0005","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022dap0005","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/5/E106.D_2022DAP0005/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2022dap0005","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022dap0005","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/5/E106.D_2022DAP0005/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322622","display_name":"Toyota Motor Corporation","ror":"https://ror.org/02zqm6r10"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4367555254.pdf"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1543794084","https://openalex.org/W1964473960","https://openalex.org/W1987381615","https://openalex.org/W2006018329","https://openalex.org/W2030832396","https://openalex.org/W2078622638","https://openalex.org/W2775717462","https://openalex.org/W2979330805","https://openalex.org/W4237069999"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2506292322","https://openalex.org/W4283209547","https://openalex.org/W3162200841","https://openalex.org/W4367627632","https://openalex.org/W2586280620","https://openalex.org/W2805505483","https://openalex.org/W2384744344","https://openalex.org/W1799694159","https://openalex.org/W2393169196"],"abstract_inverted_index":{"Car":[0],"navigation":[1],"systems":[2],"provide":[3,13],"traffic":[4,16,26,42,49,81,142,148,186],"jam":[5,17,27,50,149,187],"information.":[6],"In":[7,115,168],"this":[8,116],"study,":[9],"we":[10,66,118,170],"attempt":[11],"to":[12,36,72,89,176,182,189],"more":[14],"detailed":[15],"information":[18],"that":[19,132],"considers":[20],"the":[21,94,107,112,120,133,154,161,172,179,184],"lane":[22],"in":[23,40],"which":[24,55],"a":[25,68,103,165],"is":[28],"in.":[29],"This":[30,91],"makes":[31],"it":[32],"possible":[33],"for":[34,99],"users":[35],"avoid":[37,190],"long":[38,57],"waits":[39],"queued":[41],"going":[43],"toward":[44],"an":[45],"unintended":[46],"destination.":[47],"Lane-specific":[48],"detection":[51],"utilizes":[52],"image":[53],"processing,":[54],"incurs":[56],"processing":[58],"time":[59,157],"and":[60,105,130],"high":[61],"cost.":[62],"To":[63],"reduce":[64],"these,":[65],"propose":[67],"\u201csuddenness":[69],"index":[70,135],"(SI)\u201d":[71],"categorize":[73],"candidate":[74],"areas":[75],"as":[76,85],"sudden":[77,140],"or":[78],"periodic.":[79],"Sudden":[80],"jams":[82,143],"are":[83],"prioritized":[84],"they":[86],"may":[87],"lead":[88],"accidents.":[90],"technology":[92],"aggregates":[93],"number":[95],"of":[96,109,139,147,156],"connected":[97],"cars":[98],"each":[100],"mesh":[101],"on":[102],"map":[104],"quantifies":[106],"degree":[108],"deviation":[110],"from":[111],"ordinary":[113],"state.":[114],"paper,":[117],"evaluate":[119],"proposed":[121,134,162,173],"method":[122,163],"using":[123],"actual":[124],"global":[125],"positioning":[126],"system":[127],"(GPS)":[128],"data":[129],"found":[131],"can":[136],"cover":[137],"100%":[138],"lane-specific":[141],"while":[144],"excluding":[145],"82.2%":[146],"candidates.":[150],"We":[151],"also":[152],"demonstrate":[153],"effectiveness":[155],"savings":[158],"by":[159],"integrating":[160],"into":[164],"demonstration":[166],"framework.":[167],"addition,":[169],"improved":[171],"method's":[174],"ability":[175],"automatically":[177],"determine":[178],"SI":[180],"threshold":[181],"select":[183],"appropriate":[185],"candidates":[188],"manual":[191],"parameter":[192],"settings.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-01-22T23:29:09.771500","created_date":"2025-10-10T00:00:00"}