Abstract
The railway industry continuously strive to reduce cost and utilise resources optimally.
Thus, there is a demand for tools that are able to fast and efficiently provide decision-makers
with solutions that can help them achieve their goals. In strategic planning of capacity, this
translates into being able to evaluate capacity considering robustness of the operation effi-
ciently. To achieve this efficiency a timetable should not be needed as input, as producing
timetables is very time consuming. In this paper we therefore propose a model to calculate
the capacity consumption distribution in networks where a timetable is not needed as input.
We account for robustness using a stochastic simulation of delays to obtain the stochastic
capacity consumption in a network. The model is used on a case network where four different
infrastructure scenarios are considered and both deterministic and stochastic capacity
consumption results are obtained efficiently. The case study show that the results of capacity
analysis depends on the size of the network considered. Furthermore, we find that the
capacity gain in the case scenarios are greater when delays are considered compared to a
deterministic setting.
Original language | English |
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Title of host publication | Proceedings of the 6th International Conference on Railway Operations Modelling and Analysis (RailTokyo2015) |
Number of pages | 21 |
Publication date | 2015 |
Publication status | Published - 2015 |
Event | 6th International Conference on Railway Operations Modelling and Analysis - Chiba Institute of Technology, Tsudanuma Campus, Tokyo, Japan Duration: 23 Mar 2015 → 26 Mar 2015 |
Conference
Conference | 6th International Conference on Railway Operations Modelling and Analysis |
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Location | Chiba Institute of Technology, Tsudanuma Campus |
Country/Territory | Japan |
City | Tokyo |
Period | 23/03/2015 → 26/03/2015 |
Keywords
- Capacity
- Delays
- Networks
- Stochastic simulation
- Robustness