Citation

Xu Y, Li S, Gao S, Tan D, Guo D, Wang Y. Accid. Anal. Prev. 2018; 113: 193-201.

Affiliation

School of Transportation and Vehicle Engineering, Shandong University of Technology, 255000 Zibo, China.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.aap.2018.01.041

PMID

29427918

Abstract

Drivers eye movement data in simulated construction conflicts at different speeds were collected and analyzed to find the relationship between the drivers' eye movement and the construction conflict. On the basis of the relationship between the drivers' eye movement and the construction conflict, the peak point of wavelet processed pupil diameter, the first point on the left side of the peak point and the first blink point after the peak point are selected as key points for locating construction conflict periods. On the basis of the key points and the GSA, a construction conflict recognition method so called the CCFRM is proposed. And the construction conflict recognition speed and location accuracy of the CCFRM are verified. The good performance of the CCFRM verified the feasibility of proposed key points in construction conflict recognition.

Copyright © 2018 Elsevier Ltd. All rights reserved.

Language: en

Keywords

Conflict recognition method; Construction conflict; Driver; Eye movement; Traffic conflict technique