Citation

Kuang Y, Qu X, Yan Y. PLoS One 2017; 12(8): e0182458.

Affiliation

School of Civil Engineering, Zhengzhou University, Zhengzhou, Henan, China.

Copyright

(Copyright © 2017, Public Library of Science)

DOI

10.1371/journal.pone.0182458

PMID

28787022

Abstract

In this paper, we aim to examine the relationship between traffic flow and potential conflict risks by using crash surrogate metrics. It has been widely recognized that one traffic flow corresponds to two distinct traffic states with different speeds and densities. In view of this, instead of simply aggregating traffic conditions with the same traffic volume, we represent potential conflict risks at a traffic flow fundamental diagram. Two crash surrogate metrics, namely, Aggregated Crash Index and Time to Collision, are used in this study to represent the potential conflict risks with respect to different traffic conditions. Furthermore, Beijing North Ring III and Next Generation SIMulation Interstate 80 datasets are utilized to carry out case studies. By using the proposed procedure, both datasets generate similar trends, which demonstrate the applicability of the proposed methodology and the transferability of our conclusions.

Language: en