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http://dx.doi.org/10.22680/kasa2020.12.4.039

A Study on the Analysis of Representative Bus Crash Types through Establishment of Bus In-depth Accident Data  

Kim, Hyung Jun (아주대학교 교통시스템공학과)
Jang, Jeong Ah (아주대학교 TOD 기반 지속가능 도시교통 연구센터)
Lee, Insik (아주대학교 교통시스템공학과)
Yi, Yongju (아주대학교 TOD 기반 지속가능 도시교통 연구센터)
Oh, Sei Chang (아주대학교 교통시스템공학과)
Publication Information
Journal of Auto-vehicle Safety Association / v.12, no.4, 2020 , pp. 39-47 More about this Journal
Abstract
In this study, crash situations of representative bus crash types were elicited by analyzing a total of 1,416 bus repair record which were collected in 2018~2019. K-means clustering was used as a methodology for this study. Bus repair record contain the information of repair term, type of bus operation, responsibility of accident, weather condition, road surface condition, type of accident, other party, type of road and type of location for each data. Also, by checking collision parts of each bus repair record, each record was classified by types of collision regions. From this, 760 record are classified to frontal type, 363 record are classified to middle-frontal type, 374 record are classified to middle-rear type and 331 record are classified to rear type. As mentioned, k-means clustering was performed on each type of collision parts. As a result, this study analyzed the severity of bus crash based on actual bus accident data which are based on bus repair record not the crash data from the TAAS. Also, this study presented crash situation of representative bus crash types. It is expected that this study can be expanded to analyzing hydrogen bus crash and defining indicators of hydrogen bus safety.
Keywords
Bus repair record; Factors affecting bus crashes; K-means clustering; Bus crash type;
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