{"id":"https://openalex.org/W4398233262","doi":"https://doi.org/10.1145/3652628.3652723","title":"Analysis of Typical Serious Traffic Accident Scenarios Based on Data Mining Techniques","display_name":"Analysis of Typical Serious Traffic Accident Scenarios Based on Data Mining Techniques","publication_year":2023,"publication_date":"2023-11-17","ids":{"openalex":"https://openalex.org/W4398233262","doi":"https://doi.org/10.1145/3652628.3652723"},"language":"en","primary_location":{"id":"doi:10.1145/3652628.3652723","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652628.3652723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-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/A5042587643","display_name":"Shibo Zhu","orcid":"https://orcid.org/0009-0004-0036-2236"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shibo Zhu","raw_affiliation_strings":["Chang'an Dublin International Transport College, Chang'an University, China"],"raw_orcid":"https://orcid.org/0009-0004-0036-2236","affiliations":[{"raw_affiliation_string":"Chang'an Dublin International Transport College, Chang'an University, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059696709","display_name":"Yunheng Zhang","orcid":"https://orcid.org/0009-0003-8904-5298"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunheng Zhang","raw_affiliation_strings":["Chang'an Dublin International Transport College, Chang'an University, China"],"raw_orcid":"https://orcid.org/0009-0003-8904-5298","affiliations":[{"raw_affiliation_string":"Chang'an Dublin International Transport College, Chang'an University, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042587643"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24255966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"574","last_page":"579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9961000084877014,"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":0.9961000084877014,"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/T10370","display_name":"Traffic and Road Safety","score":0.9613000154495239,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9222999811172485,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7071967720985413},{"id":"https://openalex.org/keywords/traffic-accident","display_name":"Traffic accident","score":0.5945740342140198},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5839690566062927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5648170709609985},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5066869854927063},{"id":"https://openalex.org/keywords/accident","display_name":"Accident (philosophy)","score":0.44627413153648376},{"id":"https://openalex.org/keywords/road-traffic-safety","display_name":"Road traffic safety","score":0.4254893660545349},{"id":"https://openalex.org/keywords/road-traffic","display_name":"Road traffic","score":0.3714427351951599},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2710167169570923},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2372666895389557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11110231280326843}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7071967720985413},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.5945740342140198},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5839690566062927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5648170709609985},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5066869854927063},{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.44627413153648376},{"id":"https://openalex.org/C2777636896","wikidata":"https://www.wikidata.org/wiki/Q1147899","display_name":"Road traffic safety","level":3,"score":0.4254893660545349},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.3714427351951599},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2710167169570923},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2372666895389557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11110231280326843},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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:10.1145/3652628.3652723","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652628.3652723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2062551369","https://openalex.org/W2080718434","https://openalex.org/W2340399778","https://openalex.org/W2373411898","https://openalex.org/W2787924985","https://openalex.org/W2790502427","https://openalex.org/W2912923646","https://openalex.org/W2969291609","https://openalex.org/W3048353368","https://openalex.org/W3111875345","https://openalex.org/W3155793347","https://openalex.org/W3189582709"],"related_works":["https://openalex.org/W2488460099","https://openalex.org/W2354836866","https://openalex.org/W4401743298","https://openalex.org/W852515486","https://openalex.org/W2384322858","https://openalex.org/W2366187940","https://openalex.org/W2364212620","https://openalex.org/W2352065077","https://openalex.org/W2354557213","https://openalex.org/W2512338446"],"abstract_inverted_index":{"Road":[0],"traffic":[1,34,42,110],"accidents":[2,35,111],"cause":[3],"huge":[4],"losses":[5],"of":[6,32],"lives":[7],"and":[8,21,112],"property":[9],"every":[10],"year.":[11],"Compared":[12],"to":[13,27,40,58,77,96,102,107],"general":[14],"accidents,":[15],"severe":[16,33,109],"ones":[17],"have":[18],"distinct":[19],"characteristics":[20],"risk":[22],"factors.":[23],"This":[24],"study":[25],"aims":[26],"identify":[28],"the":[29,71,85,103],"typical":[30],"scenarios":[31,82],"using":[36],"data":[37,48],"mining":[38],"techniques,":[39],"improve":[41],"safety.":[43,115],"Based":[44],"on":[45],"historical":[46],"accident":[47],"containing":[49],"multi-dimensional":[50],"factors,":[51],"we":[52],"apply":[53],"a":[54],"random":[55],"forest":[56],"algorithm":[57],"select":[59],"key":[60,86],"feature":[61],"variables,":[62],"including":[63],"driving":[64],"years,":[65],"road":[66],"conditions,":[67],"illumination,":[68],"etc.":[69],"Then":[70],"PAM":[72],"clustering":[73],"method":[74],"is":[75],"utilized":[76],"discover":[78],"10":[79],"major":[80],"accident-prone":[81],"characterized":[83],"by":[84],"variables.":[87],"The":[88],"results":[89],"provide":[90],"supportive":[91],"findings":[92],"for":[93],"transportation":[94],"authorities":[95],"implement":[97],"targeted":[98],"preventive":[99],"actions":[100],"according":[101],"identified":[104],"high-risk":[105],"scenarios,":[106],"reduce":[108],"ensure":[113],"public":[114]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}