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In Search of the Consequence Severity of Traffic Conflict
Joint Authors
Zhu, Shunying
Jiang, Ruoxi
Wang, Pan
Chen, QiuCheng
Zou, He
Kuang, Shiping
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-13
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Currently, many studies on the severity of traffic conflicts only considered the possibility of potential collisions but ignored the consequences severity of potential collisions.
Aiming toward this defect, this study establishes a potential collision (serious conflict) consequences severity model on the basis of vehicle collision theory.
Regional vehicles trajectory data and historical traffic accident data were obtained.
The field data were brought into the conflict consequences severity model to calculate the conflict severity rate of each section under different TTC thresholds.
For comparison, the traditional conflict rate of each section under different TTC thresholds that considered only the number of conflicts was also calculated.
Results showed that the relationship between conflict severity rate and influencing factors was somehow different.
The conflict severity rate seemed to have a higher correlation with accident rate and accident severity rate than conflict rate did.
The TTC threshold value also affected the correlation between conflicts and accidents, with high and low TTC threshold indicating a lower correlation.
The results showed that conflict severity rate that considered each single conflict consequence severity was a little better than the traditional conflict rate that considered only the numbers of conflicts in reflecting real risks as a new conflict evaluation indicator.
The severity of traffic conflicts should consider two dimensions: the possibility and consequence of potential collisions.
Based on this, we propose a new traffic safety evaluation method that takes into account the severity of the consequences of the conflict.
More data and prediction models are needed to conduct more realistic and complex research in the future to ensure reliability of this new method.
American Psychological Association (APA)
Jiang, Ruoxi& Zhu, Shunying& Wang, Pan& Chen, QiuCheng& Zou, He& Kuang, Shiping. 2020. In Search of the Consequence Severity of Traffic Conflict. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1181064
Modern Language Association (MLA)
Jiang, Ruoxi…[et al.]. In Search of the Consequence Severity of Traffic Conflict. Journal of Advanced Transportation No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1181064
American Medical Association (AMA)
Jiang, Ruoxi& Zhu, Shunying& Wang, Pan& Chen, QiuCheng& Zou, He& Kuang, Shiping. In Search of the Consequence Severity of Traffic Conflict. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1181064
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181064