Research of Vehicle Rear-End Collision Model considering Multiple Factors
Joint Authors
Luo, Qiang
Chen, Xinqiang
Yuan, Jie
Zang, Xiaodong
Yang, Junheng
Wu, Shubo
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The accuracy of the rear-end collision models is crucial for the early warning of potential traffic accident identification, and thus analyzes of the main factors influencing the rear-end collision relevant models is an active topic in the field.
The previous studies have tried to determine the single factor influence on the rear-end collision model performance.
Less attention was paid to exploit mutual influences on the model performance.
To bridge the gap, we proposed an improved vehicle rear-end collision model by integrating varied factors which influence two parameters (i.e., response time and road adhesion coefficient).
The two parameters were solved with the integrated weighting and neural network models, respectively.
After that we analyzed the relationship between varied factors and the minimum car-following distance.
The research findings support both the theoretical and practical guidance for transportation regulations to release more reasonable minimum headway distance to enhance the roadway traffic safety.
American Psychological Association (APA)
Luo, Qiang& Zang, Xiaodong& Yuan, Jie& Chen, Xinqiang& Yang, Junheng& Wu, Shubo. 2020. Research of Vehicle Rear-End Collision Model considering Multiple Factors. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1197221
Modern Language Association (MLA)
Luo, Qiang…[et al.]. Research of Vehicle Rear-End Collision Model considering Multiple Factors. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1197221
American Medical Association (AMA)
Luo, Qiang& Zang, Xiaodong& Yuan, Jie& Chen, Xinqiang& Yang, Junheng& Wu, Shubo. Research of Vehicle Rear-End Collision Model considering Multiple Factors. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1197221
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197221