Issue |
E3S Web Conf.
Volume 136, 2019
2019 International Conference on Building Energy Conservation, Thermal Safety and Environmental Pollution Control (ICBTE 2019)
|
|
---|---|---|
Article Number | 04035 | |
Number of page(s) | 4 | |
Section | Urban Public Safety | |
DOI | https://doi.org/10.1051/e3sconf/201913604035 | |
Published online | 10 December 2019 |
Research on Optimization of Graphical Scheme for Large Plane Cross Signs
School of Highway, Chang'an University, Xi'an, Shanxi, 710064, China
* Corresponding author’s e-mail: 1789219642@qq.com
In order to find a practical graphical layout of the plane cross sign and the corresponding intersection road information expression method, and effectively solve the multi-attribute information transmission problem of intersecting roads, the drivers’ eye movement characteristics and the visual response time was analyzed when recognizing the signs with different graphic scheme designs and intersecting road information expressions. The tests were divided into static test and dynamic test by using SMT ETG 2W and Tobbi X20-30 eye trackers. The study found that under the condition of three road name information, comparing the graphical layout with both the intersecting road number and road name and the graphical layout which expressed none information of intersecting road for the large plane cross signs, it is equivalent to the addition of two pieces of information. And the conclusion for six road name information is more obvious.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.