Running Time Re-optimization During Real-time
Timetable Perturbations
Author(s)
A. D’Ariano & T. Albrecht
Abstract
Running time re-optimization during real-time
timetable perturbations
A. D’Ariano1 & T. Albrecht1, 2
1Faculty of Civil Engineering and Geosciences,
Delft University of Technology, The Netherlands
2 \“F. List” Faculty of Traffic and Transportation Sciences,
Dresden University of Technology, Germany
Abstract
In the Netherlands the railway network is heavily used by heterogeneous train
traffic and characterised by short headway times. That is why even small initial
delays may perturb the timetable causing consecutive delays. In such conflict
situations, traffic controllers have the complicated task to decide upon the optimal
train schedule in real-time. They could be assisted by sophisticated conflict-solving
systems. Optimal train running profiles can be designed which fit better to the new
train order and allow reducing delays and energy consumption at the same time.
The paper presents a formulation for this complex problem that makes it suitable
for quantitative analysis and for optimizing actual running times at network scale.
A conflict solution system is developed, that models the train scheduling problem
as an alternative graph. Adopting the blocking time model, safe headway distances
between trains are assured by any real-time traffic control measure. The optimal
solution from a network point of view can be improved by modifying the speed
profiles locally for the individual train routes. A constructive heuristic algorithm
for the dynamic modification of running times during operations is proposed
that satisfies the timetable constraints of train orders and routes and guarantees
the feasibility of the running profile, while taking into account the properties of
the signalling and train protection systems in use. A real-world example from
the Netherlands in case of the Dutch signalling system NS54 is presented to
demonstrate the benefits of the proposed methodology.
Keywords: railway traffic management, train scheduling, delay minimization, train
speed optimization, energy optimal train control.
Keywords
railway traffic management, train scheduling, delay minimization, train speed optimization, energy optimal train control.
Related Book
Other papers in this volume
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