Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
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Article Number | 03003 | |
Number of page(s) | 6 | |
Section | Traffic Construction Engineering and Transportation Optimization | |
DOI | https://doi.org/10.1051/e3sconf/202451203003 | |
Published online | 10 April 2024 |
Automated Monitoring and Emergency Response System for Sensitive Areas Along High-Speed Railway Lines
1 School of Civil Engineering, Jiaying University, Meizhou, Guangdong, 514015, China
2 School of Innovation and Entrepreneurship, Sanming University, Sanming, Fujian, 365004, China
* Corresponding author’s e-mail: 202107011@jyu.edu.cn
The safety of high-speed railroads is an important indicator of travelers’ trust, and it is also an important factor in determining whether or not the operation volume can reach the expected goal. Therefore, high-speed railroad companies in Europe, the United States, and Japan have invested heavily in establishing safety monitoring systems in order to avoid the occurrence of disasters and to strengthen the mechanism of crisis response and emergency treatment. High-speed railroad operation may occur in a variety of accidents, different disaster warning, emergency response and rescue, need to have different equipment, contingency measures, and well-trained personnel to deal with. Therefore, the safety standards for high-speed rail systems in advanced countries around the world are much higher than those for traditional train systems. The theories and technologies of disaster prevention and relief have matured both at home and abroad. This study combines the theories and technologies of disaster prevention with GIS, such as monitoring instruments, satellite positioning, remote sensing detection, radio transmission, the Internet, database management, and information management, to provide effective support for decision-making and analysis of commanders, to rapidly assist in crisis management, and to strengthen the mechanism of emergency response.
© 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.
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