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Journal of Sensors
Volume 2017, Article ID 9168525, 10 pages
Research Article

A Sensor-Based Visual Effect Evaluation of Chevron Alignment Signs’ Colors on Drivers through the Curves in Snow and Ice Environment

1School of Transportation, Wuhan University of Technology, Wuhan 430063, China
2School of Economics and Management, Inner Mongolia University of Science and Technology, No. 7 Aerding, Baotou, China
3College of Agricultural and Life Sciences, University of Wisconsin-Madison, 1552 University Ave, Madison, WI 53706, USA

Correspondence should be addressed to Wei Zhao; ude.csiw@74iewz

Received 3 July 2017; Accepted 27 August 2017; Published 11 October 2017

Academic Editor: Chuan Ding

Copyright © 2017 Wei Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The ability to quantitatively evaluate the visual feedback of drivers has been considered as the primary research for reducing crashes in snow and ice environments. Different colored Chevron alignment signs cause diverse visual effect. However, the effect of Chevrons on visual feedback and on the driving reaction while navigating curves in SI environments has not been adequately evaluated. The objective of this study is twofold: an effective and long-term experiment was designed and developed to test the effect of colored Chevrons on drivers’ vision and vehicle speed; a new quantitative effect evaluation model is employed to measure the effect of different colors of the Chevrons. Fixation duration and pupil size were used to describe the driver’s visual response, and Cohen’s was used to evaluate the colors’ psychological effect on drivers. The results showed the following: after choosing the proper color for Chevrons, drivers reduced the speed of the vehicle while approaching the curves. It was easier for drivers to identify the road alignment after setting the Chevrons. Cohen’s related to different colors of Chevrons have different effect sizes. The conclusions provide evident references for freeway warning products and the design of intelligent vehicles.