Mining Characteristics of Speeding and Red Light Running Violations Using Association Rules
Speeding and running red light always belong to the major traffic enforcement target for preventing accidents caused by violation. In the northern metropolitan area in Taiwan, speeding and running red light accounted for 12.56%and 12.97% of total violation citations from 2011 to 2015. This paper aims at analyzing features of such violation including violation area, day of week, time of day, gender, age, regulation, and mode of each violation record by using A priori algorithm of association rules. Total 40 rules with lifts higher than one were discovered for speeding and red light running drivers. It was found that drivers with violation of speeding and red light running have the odds ratios higher than one. That means they are easier being involved into accidents. The results show the characteristics of speeding and red light running drivers and give evidence of the risk of these violations.
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Authors:
- WU, Yuan-Wei
- HSU, Tien-Pen
- Publication Date: 2019
Language
- English
- Japanese
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 2111-2125
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Serial:
- Journal of the Eastern Asia Society for Transportation Studies
- Volume: 13
- Publisher: Eastern Asia Society for Transportation Studies
- EISSN: 1881-1124
- Serial URL: https://www.jstage.jst.go.jp/browse/easts/-char/en
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Red light running; Speeding; Traffic safety; Traffic violations
- Subject Areas: Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01737096
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: Apr 22 2020 12:28PM