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The Impact of Truck Proportion on Traffic Safety Using Surrogate Safety Measures in China
Joint Authors
Zhang, H. Michael
Peng, Yichuan
Zhang, Shiwen
Lu, Jian
Chen, Shengdi
Xing, Yingying
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-12
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The purpose of this study is to investigate the impact of the truck proportion on surrogate safety measures to explore the relationship between truck proportion and traffic safety.
The relationship between truck proportion and traffic flow parameters was analyzed by correlation and partial correlation analysis, and the value of the 85th percentile speed minus the 15th percentile speed (85%V–15%V) and the speed variation coefficient were selected as surrogate safety measures to explore the impact of truck proportion on traffic status.
The k-means algorithm and the support vector machine were employed to evaluate traffic status on a freeway under different truck proportions in different periods.
The major results are that the relationship between truck proportion and the value of 85%V–15%V and the speed variation coefficient is consistent in different aggregation periods.
With increasing truck proportion, the value of 85%V–15%V, as well as the speed variation coefficient, increases initially and then decreases.
In addition, the traffic flow status tends to be dangerous when the truck proportion ranges from 0.4 to 0.6 and when the value of 85%V–15%V and the speed variation coefficient are above 42 km/h and 0.223, respectively.
While the truck proportion is from 0.1 to 0.3 and from 0.7 to 0.9, the traffic flow is relatively safe on the condition that the value of 85%V–15%V and the speed variation coefficient were under 42 km/h and 0.223, respectively.
Therefore, the relationship between truck proportion and traffic safety could be well revealed by two surrogate safety measures, that is, the value of 85%V–15%V and the speed variation coefficient.
In addition, the k-means algorithm and the support vector machine can well reveal the impact of truck proportion on traffic safety in different periods.
The findings of this study indicate a need for decreasing the disturbance of mixed traffic and the impact of the truck proportion on traffic safety status.
American Psychological Association (APA)
Chen, Shengdi& Zhang, Shiwen& Xing, Yingying& Lu, Jian& Peng, Yichuan& Zhang, H. Michael. 2020. The Impact of Truck Proportion on Traffic Safety Using Surrogate Safety Measures in China. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1176133
Modern Language Association (MLA)
Chen, Shengdi…[et al.]. The Impact of Truck Proportion on Traffic Safety Using Surrogate Safety Measures in China. Journal of Advanced Transportation No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1176133
American Medical Association (AMA)
Chen, Shengdi& Zhang, Shiwen& Xing, Yingying& Lu, Jian& Peng, Yichuan& Zhang, H. Michael. The Impact of Truck Proportion on Traffic Safety Using Surrogate Safety Measures in China. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1176133
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1176133