{"id":"https://openalex.org/W2921717718","doi":"https://doi.org/10.1145/3301326.3301378","title":"A Study on Classification of Traffic Accident Injury Grade Using CNN and NASS-CDS Data","display_name":"A Study on Classification of Traffic Accident Injury Grade Using CNN and NASS-CDS Data","publication_year":2018,"publication_date":"2018-12-14","ids":{"openalex":"https://openalex.org/W2921717718","doi":"https://doi.org/10.1145/3301326.3301378","mag":"2921717718"},"language":"en","primary_location":{"id":"doi:10.1145/3301326.3301378","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301326.3301378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 VII International Conference on Network, Communication and Computing","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/A5080688201","display_name":"Hyu-Seop Song","orcid":null},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyu-Seop Song","raw_affiliation_strings":["Soonchunhyang Univ., Dept. of Electric&amp;Robotics Engineering, Asan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soonchunhyang Univ., Dept. of Electric&amp;Robotics Engineering, Asan, South Korea","institution_ids":["https://openalex.org/I24541011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050284607","display_name":"Yong-Beom Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yongbeom Lee","raw_affiliation_strings":["Soonchunhyang Univ., Dept of Future Convergence Technology, Asan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soonchunhyang Univ., Dept of Future Convergence Technology, Asan, South Korea","institution_ids":["https://openalex.org/I24541011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050292399","display_name":"Seongkeun Park","orcid":"https://orcid.org/0000-0002-4868-9404"},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seongkeun Park","raw_affiliation_strings":["Soonchunhyang Univ., Dept. of Smart Automobile, Asan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soonchunhyang Univ., Dept. of Smart Automobile, Asan, South Korea","institution_ids":["https://openalex.org/I24541011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069790641","display_name":"Hyeonseok Kim","orcid":"https://orcid.org/0000-0003-1706-5030"},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeonseok Kim","raw_affiliation_strings":["Soonchunhyang Univ., Dept of Future Convergence Technology, Asan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soonchunhyang Univ., Dept of Future Convergence Technology, Asan, South Korea","institution_ids":["https://openalex.org/I24541011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029862386","display_name":"Eungi Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eungi Cho","raw_affiliation_strings":["Soonchunhyang Univ., Dept of Future Convergence Technology, Asan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soonchunhyang Univ., Dept of Future Convergence Technology, Asan, South Korea","institution_ids":["https://openalex.org/I24541011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103152893","display_name":"Mingyu Park","orcid":"https://orcid.org/0000-0003-3144-3501"},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mingyu Park","raw_affiliation_strings":["Soonchunhyang Univ., Dept of Future Convergence Technology, Asan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soonchunhyang Univ., Dept of Future Convergence Technology, Asan, South Korea","institution_ids":["https://openalex.org/I24541011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003891259","display_name":"Seung\u2010Woo Kim","orcid":"https://orcid.org/0000-0003-0235-1739"},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung-woo Kim","raw_affiliation_strings":["Soonchunhyang Univ., Dept. of Smart Automobile, Asan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soonchunhyang Univ., Dept. of Smart Automobile, Asan, South Korea","institution_ids":["https://openalex.org/I24541011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.25,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62522841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"327","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14412","display_name":"Marine and Coastal Research","score":0.9708999991416931,"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"}},"topics":[{"id":"https://openalex.org/T14412","display_name":"Marine and Coastal Research","score":0.9708999991416931,"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"}},{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9264000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8342034816741943},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7306004762649536},{"id":"https://openalex.org/keywords/crash","display_name":"Crash","score":0.7001134753227234},{"id":"https://openalex.org/keywords/traffic-accident","display_name":"Traffic accident","score":0.5682405829429626},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47225990891456604},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.456347793340683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4475939869880676},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4418712854385376},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4230364263057709},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.407694935798645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3754814863204956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33455824851989746},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1465051770210266},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1390780508518219},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1120794415473938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07026392221450806}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8342034816741943},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7306004762649536},{"id":"https://openalex.org/C183469790","wikidata":"https://www.wikidata.org/wiki/Q333501","display_name":"Crash","level":2,"score":0.7001134753227234},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.5682405829429626},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47225990891456604},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.456347793340683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4475939869880676},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4418712854385376},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4230364263057709},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.407694935798645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3754814863204956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33455824851989746},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1465051770210266},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1390780508518219},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1120794415473938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07026392221450806},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3301326.3301378","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301326.3301378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 VII International Conference on Network, Communication and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8199999928474426,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W636356186","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2183341477","https://openalex.org/W2618530766","https://openalex.org/W2936008696","https://openalex.org/W2945950250"],"related_works":["https://openalex.org/W2026516036","https://openalex.org/W626940945","https://openalex.org/W2040826996","https://openalex.org/W375763875","https://openalex.org/W2111579573","https://openalex.org/W120748129","https://openalex.org/W2061344455","https://openalex.org/W2744235150","https://openalex.org/W796478898","https://openalex.org/W2029117867"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,45],"propose":[4],"a":[5],"new":[6],"occupant":[7,37],"injury":[8],"prediction":[9],"algorithm":[10],"using":[11],"real":[12],"car":[13],"accident":[14],"data":[15,21,50],"base,":[16],"NASS-CDS":[17],"DB.":[18],"Field":[19],"crash":[20,48],"which":[22],"are":[23,46],"collected":[24],"by":[25],"IIHS":[26],"is":[27],"used":[28],"as":[29,51],"input":[30],"of":[31,63],"convolutional":[32],"neural":[33],"network":[34],"to":[35,42],"estimate":[36],"injury.":[38],"And":[39],"in":[40],"order":[41],"applying":[43],"CNN,":[44],"encoding":[47],"information":[49],"two":[52],"dimensional":[53],"image.":[54],"Our":[55],"experiment":[56],"results":[57],"can":[58],"be":[59],"shown":[60],"the":[61],"validity":[62],"our":[64],"proposed":[65],"algorithm.":[66]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
