Presentation 2024-03-13
Formal Concept Analysis of Traffic Accidents Factors using Traffic Accident Summaries
Haruto Murakami, Kazutoshi Sakakibara, Masaki Nakamura, Tatsuro Motoyoshi, Keisuke Hoshikawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The purpose of this study is to support police activities targeting elderly pedestrians and other vulnerable road users, so we analyze past traffic accident data using formal concept analysis to prevent future traffic accidents. Traffic accident data contains an accident summary that summarizes the circumstances leading up to the occurrence of each accident in 30 to 200 words. Since formal concept analysis requires a table organized by binary information, words are extracted from the accident summary using morphological analysis and the TF-IDF method. In addition, in order to cope with word orthography and synonymy, synonym unification using Word2Vec, etc. is performed after morphological analysis. Then, the data organized into two value information is applied to formal concept analysis, and hypotheses are formulated based on the rules obtained, and an attempt is made to elucidate the causes of traffic accidents through statistical analysis.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Traffic Accidents / Formal Concept Analysis / Natural Language Processing
Paper # MSS2023-79,NLP2023-131
Date of Issue 2024-03-06 (MSS, NLP)

Conference Information
Committee NLP / MSS
Conference Date 2024/3/13(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kikai-Shinko-Kaikan Bldg.
Topics (in Japanese) (See Japanese page)
Topics (in English) MSS, NLP, etc.
Chair Hiroyuki Torikai(Hosei Univ.) / Shingo Yamaguchi(Yamaguchi Univ.)
Vice Chair Yuichi Tanji(Kagawa Univ.) / Toshiyuki Miyamoto(Osaka Inst. of Tech.)
Secretary Yuichi Tanji(Gifu Univ.) / Toshiyuki Miyamoto(Chukyo Univ.)
Assistant Yoshikazu Yamanaka(Utsunomiya Univ.) / Eri Ioka(Shibaura Inst. of Tech.) / Masato Shirai(Shimane Univ.)

Paper Information
Registration To Technical Committee on Nonlinear Problems / Technical Committee on Mathematical Systems Science and its Applications
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Formal Concept Analysis of Traffic Accidents Factors using Traffic Accident Summaries
Sub Title (in English)
Keyword(1) Traffic Accidents
Keyword(2) Formal Concept Analysis
Keyword(3) Natural Language Processing
1st Author's Name Haruto Murakami
1st Author's Affiliation Toyama Prefectural University(Toyama Prefectural Univ.)
2nd Author's Name Kazutoshi Sakakibara
2nd Author's Affiliation Toyama Prefectural University(Toyama Prefectural Univ.)
3rd Author's Name Masaki Nakamura
3rd Author's Affiliation Toyama Prefectural University(Toyama Prefectural Univ.)
4th Author's Name Tatsuro Motoyoshi
4th Author's Affiliation Toyama Prefectural University(Toyama Prefectural Univ.)
5th Author's Name Keisuke Hoshikawa
5th Author's Affiliation Toyama Prefectural University(Toyama Prefectural Univ.)
Date 2024-03-13
Paper # MSS2023-79,NLP2023-131
Volume (vol) vol.123
Number (no) MSS-427,NLP-428
Page pp.pp.42-47(MSS), pp.42-47(NLP),
#Pages 6
Date of Issue 2024-03-06 (MSS, NLP)