The paper presents models allowing for the analysis of the functionality and safety of train traffic management systems based on absolute Moving Block spacing. These models were developed based on Markov processes describing such events and allow for the estimation of appropriate coefficients characterizing these types of systems. They can also serve as a basis for simulation studies to verify the adopted assumptions.In works [1], [2], and [3], the principle of the moving block (MB) in train succession control was presented. Operational scenarios related to the Control Center’s response to events resulting either from typical traffic management events on the line (e.g., the entry of a train not equipped with a radio-based location system RSW) or from typical emergency situations (e.g., loss of transmission from a train equipped with the RSW system) were also presented.
For modeling events occurring on the line, a description in the form of Markov processes (homogeneous, stationary, and ergodic) was proposed, which is associated with the adoption of the Poisson distribution for modeling events and the exponential distribution for modeling the time of their occurrence [4], [6].
2. MODELS OF THE TRAFFIC MANAGEMENT SYSTEM USING MOVING BLOCK SPACING (…)
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Source: Logistyka Magazine 2/2010