Abstract
The throughput of track infrastructure and the quality of railway services can be enhanced by a set of intelligent scheduling measures provided that the timetable design takes the variations of real operations sufficiently into account. Small variations of the train running and dwell times are currently compensated for by mainly based on rules of thumb, sometimes checked by simulation. This paper will discuss the current methods to estimate the characteristic timetable variables as minimal time headway, slack and waiting time. A new stochastic approach is presented for the estimation of blocking times and buffer times at bottlenecks based on distributions of the start and of blocking time waves of trains, which aims at reflecting the interaction between trains following each other on saturated routes.
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