|Table of Contents|

[1] Li Yaping, Lu Jian,. Analysis of rear-end risk for driver using vehicle trajectory data [J]. Journal of Southeast University (English Edition), 2017, 33 (2): 236-240. [doi:10.3969/j.issn.1003-7985.2017.02.018]
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Analysis of rear-end risk for driver using vehicle trajectory data()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
33
Issue:
2017 2
Page:
236-240
Research Field:
Traffic and Transportation Engineering
Publishing date:
2017-06-30

Info

Title:
Analysis of rear-end risk for driver using vehicle trajectory data
Author(s):
Li Yaping Lu Jian
School of Transportation, Southeast University, Nanjing 210096, China
Keywords:
rear-end risk novice driver experienced driver driving behavior
PACS:
U491
DOI:
10.3969/j.issn.1003-7985.2017.02.018
Abstract:
To explore the relationship between rear-end crash risk and its influencing factors, on-road experiments were conducted for measuring the individual vehicle trajectory data associated with novice and experienced drivers. The rear-end crash potential probability based on the time to collision was proposed to represent the interpretation of rear-end crash risk. One-way analysis of variance was applied to compare the rear-end crash risks for novice and experienced drivers. The rear-end crash risk models for novice and experienced drivers were respectively developed to identify the effects of contributing factors on the driver rear-end crash risk. Also, the cumulative residual method was used to examine the goodness-of-fit of models. The results show that there is a significant difference in rear-end risk between the novice and experienced drivers. For the novice drivers, three risk factors including the traffic volume, the number of lanes and gender are found to significantly impact on the rear-end crash risk, while significant impact factors for experienced drivers are the vehicle speed and traffic volume. The rear-end crash risk models perform well based on the existing limited data samples.

References:

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Memo

Memo:
Biographies: Li Yaping(1990—), female, graduate; Lu Jian(corresponding author), male, doctor, professor, lujian-1972@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.51478110).
Citation: Li Yaping, Lu Jian.Analysis of rear-end risk for driver using vehicle trajectory data[J].Journal of Southeast University(English Edition), 2017, 33(2):236-240.DOI:10.3969/j.issn.1003-7985.2017.02.018.
Last Update: 2017-06-20