Applying Multiscaling Analysis To Detect
Capacity Resources In Railway Networks
Author(s)
A. Gille, M. Klemenz & Th. Siefer
Abstract
A substantial part of railway engineering is modeling of the real track
infrastructure and train operation processes in computer applications. The
electronic data created can be analysed and evaluated for research purposes.
Depending on the aim of the research, three different models can be used which
differ in their level of itemisation. Macroscopic models have a relative low level
of accuracy, mesoscopic a medium and microscopic models have the highest.
The Institute of Transport, Railway Construction and Operation (IVE,
Hannover) researches computing solutions to deliver the data in the requested
level of detail. This is then used for generating and providing infrastructure and
train operation data such as timetable data, running times of trains or block
occupancy times. The Multiscaling Analysis offers the opportunity to use the
appropriate model depth (level of detail) for each request and enables work to
progress efficiently.
For tasks like long term capacity planning in railway networks no high detail
level data is required normally, so macroscopic models can be initiated. To
verify if train paths of a timetable, developed on a macroscopic or mesoscopic
railway infrastructure, can actually be arranged without conflicts within the
block occupancy times or the headway, a more detailed microscopic model is
required. Therefore trains with only a low detail level of information like their
route, stopping locations and stopping times can be mapped onto a microscopic
infrastructure model to prove the feasibility and to determine capacity resources.
Keywords: infrastructure, capacity resources, networks, microscopic model,
mesoscopic model, macroscopic model, RailSys, NEMO.
Keywords
infrastructure, capacity resources, networks, microscopic model,
mesoscopic model, macroscopic model, RailSys, NEMO.
Related Book
Other papers in this volume
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