{"id":"https://openalex.org/W4213252219","doi":"https://doi.org/10.1007/s13177-021-00293-y","title":"Improving the Accuracy of Traffic Accident Prediction Models on Expressways by Considering Additional Information","display_name":"Improving the Accuracy of Traffic Accident Prediction Models on Expressways by Considering Additional Information","publication_year":2022,"publication_date":"2022-02-16","ids":{"openalex":"https://openalex.org/W4213252219","doi":"https://doi.org/10.1007/s13177-021-00293-y"},"language":"en","primary_location":{"id":"doi:10.1007/s13177-021-00293-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13177-021-00293-y","pdf_url":null,"source":{"id":"https://openalex.org/S118678737","display_name":"International Journal of Intelligent Transportation Systems Research","issn_l":"1348-8503","issn":["1348-8503","1868-8659"],"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":"International Journal of Intelligent Transportation Systems Research","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/A5054580092","display_name":"Yuki Wakatsuki","orcid":"https://orcid.org/0000-0002-9512-676X"},"institutions":[{"id":"https://openalex.org/I4210154200","display_name":"Kitasato Institute Hospital","ror":"https://ror.org/05js82y61","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210154200"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuki Wakatsuki","raw_affiliation_strings":["GRID Inc., Ao Bldg. 6F., 3-11-7, Kitaaoyama, Minato-ku, Tokyo, 107-0061, Japan","GRID Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"GRID Inc., Ao Bldg. 6F., 3-11-7, Kitaaoyama, Minato-ku, Tokyo, 107-0061, Japan","institution_ids":["https://openalex.org/I4210154200"]},{"raw_affiliation_string":"GRID Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007343699","display_name":"Jumpei Tatebe","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154200","display_name":"Kitasato Institute Hospital","ror":"https://ror.org/05js82y61","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210154200"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jumpei Tatebe","raw_affiliation_strings":["GRID Inc., Ao Bldg. 6F., 3-11-7, Kitaaoyama, Minato-ku, Tokyo, 107-0061, Japan","GRID Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"GRID Inc., Ao Bldg. 6F., 3-11-7, Kitaaoyama, Minato-ku, Tokyo, 107-0061, Japan","institution_ids":["https://openalex.org/I4210154200"]},{"raw_affiliation_string":"GRID Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103287857","display_name":"Jian Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126976","display_name":"Nippon Institute for Biological Science","ror":"https://ror.org/02qdq4a41","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210126976"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jian Xing","raw_affiliation_strings":["Nippon Expressway Research Institute Co., Ltd., 1-4-1, Tadao, Machida, Tokyo, 194-8508, Japan","Nippon Expressway Research Institute Co., Ltd., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Nippon Expressway Research Institute Co., Ltd., 1-4-1, Tadao, Machida, Tokyo, 194-8508, Japan","institution_ids":["https://openalex.org/I4210126976"]},{"raw_affiliation_string":"Nippon Expressway Research Institute Co., Ltd., Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054580092"],"corresponding_institution_ids":["https://openalex.org/I4210154200"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.5398,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61086033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"1","first_page":"309","last_page":"319"},"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":0.989799976348877,"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/T10370","display_name":"Traffic and Road Safety","score":0.9872999787330627,"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":0.6184426546096802},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.552969753742218},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5457451343536377},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5006742477416992},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4800530672073364},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46917229890823364},{"id":"https://openalex.org/keywords/traffic-volume","display_name":"Traffic volume","score":0.43887633085250854},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.43039610981941223},{"id":"https://openalex.org/keywords/traffic-accident","display_name":"Traffic accident","score":0.42887312173843384},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3662470281124115},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.314004123210907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26493966579437256},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26357829570770264},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20321926474571228},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10310584306716919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6184426546096802},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.552969753742218},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5457451343536377},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5006742477416992},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4800530672073364},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46917229890823364},{"id":"https://openalex.org/C168443057","wikidata":"https://www.wikidata.org/wiki/Q7001223","display_name":"Traffic volume","level":2,"score":0.43887633085250854},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.43039610981941223},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.42887312173843384},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3662470281124115},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.314004123210907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26493966579437256},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26357829570770264},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20321926474571228},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10310584306716919},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13177-021-00293-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13177-021-00293-y","pdf_url":null,"source":{"id":"https://openalex.org/S118678737","display_name":"International Journal of Intelligent Transportation Systems Research","issn_l":"1348-8503","issn":["1348-8503","1868-8659"],"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":"International Journal of Intelligent Transportation Systems Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1991208598","https://openalex.org/W2016630489","https://openalex.org/W2143062961","https://openalex.org/W2440652645","https://openalex.org/W2583901265","https://openalex.org/W2798249343","https://openalex.org/W2802508687","https://openalex.org/W2808862972","https://openalex.org/W2937026923","https://openalex.org/W2945253341","https://openalex.org/W3106746327"],"related_works":["https://openalex.org/W4282043467","https://openalex.org/W2105697914","https://openalex.org/W1971963271","https://openalex.org/W2761984238","https://openalex.org/W1534413906","https://openalex.org/W657100504","https://openalex.org/W2366841221","https://openalex.org/W1513697706","https://openalex.org/W2070020448","https://openalex.org/W609440573"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
