Abstract
To meet the demand for middle and low-density railway lines, a Global Navigation Satellite System (GNSS) based on a train integrity monitoring system (TIMS) is used for train integrity detection. Each system has to be analyzed before it is applied in practice. To evaluate the safety of the train integrity detection, a collision risk evaluation method is proposed based on the positioning errors and protection level, in which the Probability of dangerous Failure per Hour (PFH) is computed to quantify the the criteria of Safety Integrity Level (SIL). Then, an experiment-based simulation procedure is presented for safety verification. Statistics results have been obtained from field test data, and simulations are carried out using CPN and MATLAB to verify the collision risk of GNSS-based train integrity detection. The result showed that the GNSS-based train integrity detection satisfies the safety requirements in the system design phase for railway applications.
Highlights
In railway freight transport, there might be decoupling accidents that would seriously threaten a train’s operation safety
For the Global Navigation Satellite System (GNSS)-based train integrity detection, the limit-state indicates the margin of safety between the detection threshold and the estimated train positioning results
For each specific scenario in GNSS-based train integrity monitoring system (TIMS) constructed from the attributes of the operating situation, the probability of a specific event in a scenario depends on the frequency range assigned to the safety function [21]
Summary
There might be decoupling accidents that would seriously threaten a train’s operation safety. There are train integrity solutions based on brake air pipe pressure, wireless sensor network, and GNSS as presented in reference [2,3,4,5,6]. In these systems, GNSS and other sensors are employed for self-localization and wireless communication. Net (CPN) is selected as the simulation of train positioning errors for the newly developed GNSS-based TIMS. The safety of train integrity detection is evaluated based on the positioning errors and protection level using an indicator of Failure per Hour (PFH) to quantify the criteria of SIL, and an experiment-based Monte Carlo simulation verification procedure is proposed. Simulations are carried out by CPN and MATLAB using the statistics from field tests
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