| Issue |
E3S Web of Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
|---|---|---|
| Article Number | 03035 | |
| Number of page(s) | 7 | |
| Section | Traffic Construction Engineering and Transportation Optimization | |
| DOI | https://doi.org/10.1051/e3sconf/202451203035 | |
| Published online | 10 April 2024 | |
Study on Factors Affecting Rapid Detection of Retroreflection in Road Markings Based on One-Way ANOVA Analysis
1 Jinhua Highway Administration Bureau, Jinhua 321000, China
2 Dongyang Highway Administration Bureau, Jinhua 321000, China
3 Jindong District Highway Administration Center, Jinhua 321015, China
4 Jinhua Transport Bureau, Jinhua 321000, China
5 Department of Roadway Engineering, School of Transportation, Southeast University, Nanjing 211189, China
* Corresponding author: 230208344@seu.edu.cn
In the dynamic and rapid detection of retroreflection coefficient in road traffic markings, different factors may affect the detection results. This study investigates the significance of different levels of environmental light intensity and vehicle speed on the detection results of retroreflection coefficient in road markings using one-way ANOVA analysis. The results show that within a 95% confidence interval, there is no statistically significant difference in the detection results of retroreflection coefficient under different levels of environmental light intensity and vehicle speed. The variance effect size calculation indicates that for the detection of retroreflection coefficient in road markings, vehicle speed control is more important than light intensity. To obtain more reliable detection results, it is recommended to maintain a stable and uniform speed of no more than 80 km/h during the detection process.
© The Authors, published by EDP Sciences, 2024
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.