Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision
- DOI
- 10.2991/ijcis.2011.4.6.4How to use a DOI?
- Keywords
- Time to collision, Gaussian mixture model, Expressway traffic safety.
- Abstract
Traffic safety is of great significance, especially in urban expressway where traffic volume is large and traffic conflicts are highlighted. It is thus important to develop a methodology that is able to assess traffic safety. In this paper, we first analyze the time to collision (TTC) samples from traffic videos collected from Beijing expressway with different locations, lanes, and traffic conditions. Accordingly, some basic descriptive statistics of 5 locations' TTC samples are shown, and it is concluded that Gaussian mixture model (GMM) distribution is the best-fitted distribution to TTC samples based on K-S goodness of fit tests. Using GMM distribution, TTC samples can be divided into three categories: dangerous situations, relative safe situations, and absolute safe situations, respectively. We then proceeds to introduce a novel concept of the percentage of serious traffic conflicts as the percentage of TTC samples below a predetermined threshold value in dangerous situation. After that, assessment results of expressway traffic safety are presented using the proposed traffic safety indictor. The results imply that traffic safety on the weaving segment is lower than that on mainlines and the percentage of serious traffic conflicts on median lane is larger than that on middle lane and shoulder lane.
- Copyright
- © 2011, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Sheng Jin AU - Xiaobo Qu AU - Dianhai Wang PY - 2011 DA - 2011/12/01 TI - Assessment of Expressway Traffic Safety Using Gaussian Mixture Model based on Time to Collision JO - International Journal of Computational Intelligence Systems SP - 1122 EP - 1130 VL - 4 IS - 6 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2011.4.6.4 DO - 10.2991/ijcis.2011.4.6.4 ID - Jin2011 ER -