{"id":"https://openalex.org/W4224078400","doi":"https://doi.org/10.1007/s10489-022-03501-8","title":"Unsupervised anomaly detection based method of risk evaluation for road traffic accident","display_name":"Unsupervised anomaly detection based method of risk evaluation for road traffic accident","publication_year":2022,"publication_date":"2022-04-18","ids":{"openalex":"https://openalex.org/W4224078400","doi":"https://doi.org/10.1007/s10489-022-03501-8"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-022-03501-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-03501-8","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5100661290","display_name":"Chao Zhao","orcid":"https://orcid.org/0000-0002-2827-923X"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhao","raw_affiliation_strings":["School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079521028","display_name":"Xiaokun Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokun Chang","raw_affiliation_strings":["School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036252940","display_name":"Tian Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118099","display_name":"China Design Group (China)","ror":"https://ror.org/02mnaa826","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210118099"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Xie","raw_affiliation_strings":["China Design Group Co.,Ltd., Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Design Group Co.,Ltd., Nanjing, China","institution_ids":["https://openalex.org/I4210118099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042597849","display_name":"Hamido Fujita","orcid":"https://orcid.org/0000-0001-5256-210X"},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hamido Fujita","raw_affiliation_strings":["Iwate Prefectural University, Iwate, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iwate Prefectural University, Iwate, Japan","institution_ids":["https://openalex.org/I6090238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054951713","display_name":"Jian Wu","orcid":"https://orcid.org/0000-0002-1482-9827"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Wu","raw_affiliation_strings":["School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China"],"raw_orcid":"https://orcid.org/0000-0002-1482-9827","affiliations":[{"raw_affiliation_string":"School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054951713"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":3.8158,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.9389618,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"53","issue":"1","first_page":"369","last_page":"384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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/T10370","display_name":"Traffic and Road Safety","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7946063280105591},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7647720575332642},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.742469847202301},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6067205667495728},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4784519672393799},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.42829716205596924},{"id":"https://openalex.org/keywords/traffic-accident","display_name":"Traffic accident","score":0.41150110960006714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35268867015838623},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2646871507167816},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.11975181102752686}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7946063280105591},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7647720575332642},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.742469847202301},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6067205667495728},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4784519672393799},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.42829716205596924},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.41150110960006714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35268867015838623},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2646871507167816},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.11975181102752686},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-022-03501-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-03501-8","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3764764771","display_name":"Healthcare Risk Prediction on Data Streams Employing Cross Ensemble Deep Learning","funder_award_id":"20K11955","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G550225835","display_name":"\u57fa\u4e8e\u793e\u4f1a\u7f51\u7edc\u4fe1\u4efb\u7684\u7fa4\u4f53\u4e0d\u5b8c\u5168\u4fe1\u606f\u8bc4\u4ef7\u4e0e\u4e2a\u6027\u5316\u5171\u8bc6\u65b9\u6cd5\u53ca\u5e94\u7528\u7814\u7a76","funder_award_id":"71971135","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/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2022714541","https://openalex.org/W2045175833","https://openalex.org/W2068243468","https://openalex.org/W2093839933","https://openalex.org/W2127926207","https://openalex.org/W2142068124","https://openalex.org/W2157331557","https://openalex.org/W2161024896","https://openalex.org/W2294889300","https://openalex.org/W2303647797","https://openalex.org/W2594321289","https://openalex.org/W2768615394","https://openalex.org/W2785362611","https://openalex.org/W2789732537","https://openalex.org/W2801323363","https://openalex.org/W2884906860","https://openalex.org/W2901554918","https://openalex.org/W2917314456","https://openalex.org/W2948212284","https://openalex.org/W2963048283","https://openalex.org/W2966842935","https://openalex.org/W2998299723","https://openalex.org/W3018720890","https://openalex.org/W3021114543","https://openalex.org/W3036417315","https://openalex.org/W3037500800","https://openalex.org/W3092339997","https://openalex.org/W3094836761","https://openalex.org/W3095755532","https://openalex.org/W3096776945","https://openalex.org/W3098957257","https://openalex.org/W3122396520","https://openalex.org/W3139729413","https://openalex.org/W3170655656","https://openalex.org/W3175925542","https://openalex.org/W3186512740","https://openalex.org/W3210749941"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W4363671829","https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
