Precise Position Estimation of High Speed Railway Train for Collision Early Warning System

2013 ◽  
Vol 5 (8) ◽  
pp. 1155-1166
Author(s):  
LIU Jiang ◽  
CAI Baigen ◽  
WANG Jian
2010 ◽  
Vol 3 (3-4) ◽  
pp. 140-156 ◽  
Author(s):  
Gianmarco Baldini ◽  
Igor Nai Fovino ◽  
Marcelo Masera ◽  
Marco Luise ◽  
Vincenzo Pellegrini ◽  
...  

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Hu Qizhou ◽  
Fang Xin ◽  
Bian Lishuang

Abstract In this paper, the least square support vector machine (LSSVM) is used to study the safety of a high-speed railway. According to the principle of LSSVM regression prediction, the parameters of the LSSVM are optimized to model the natural disaster early warning of safe operation of a high-speed railway, and the management measures and methods of high-speed railway safety operation under natural disasters are given. The relevant statistical data of China's high-speed railway are used for training and verification. The experimental results show that the LSSVM can well reflect the nonlinear relationship between the accident rate and the influencing factors, with high simulation accuracy and strong generalization ability, and can effectively predict the natural disasters in the safe operation of a high-speed railway. Moreover, the early warning system can improve the ability of safety operation evaluation and early warning of high-speed railway under natural disasters, realize the development goals of high-speed railway (safety, speed, economic, low-carbon and environmental protection) and provide a theoretical basis and technical support for improving the safety of a high-speed railway.


2017 ◽  
Vol 22 (2) ◽  
pp. 69-88
Author(s):  
Jauder Alexander Ocampo Toro ◽  
Juan Pablo Alzate Sanchez ◽  
Ángel David Chancy Villa ◽  
Sebastián Valencia Cardona

Half of the natural disasters are due to floods of all kinds, leaving thousands dead and injured, as well as costly material damages. An early warning system (EWS) is a vital tool to reduce disaster risk but requires components that allow rapid communication and effective response of people at risk. Contribution of advanced technology has been fundamental in the prevention of catastrophes, but unfortunately, its high cost, among other factors, does not allow its coverage to reach developing countries or to communities in areas of higher vulnerability. This was evident in Colombia, where EWS exists for large-scale phenomena, but where river floods in poor municipalities meant the country's greatest tragedies in recent years. Hence the importance of designing the self-sustaining early warning system in river currents, since it combines state-of-the-art but low-cost technological elements, allowing it to operate autonomously from alternative energy sources, continuously and accurately measure the current fluvial level, and send real-time alert signals via high-speed and efficient wireless communication protocols. Construction of a prototype of the system made it possible to test and verify the functionality and efficiency of the monitoring stations, both in accuracy and speed in measures of increasing water levels, as well as in the rapid communication of alerts to an end-user, through cell phone text messaging.


Sign in / Sign up

Export Citation Format

Share Document