| 1. |
- Johansson, Ingrid, 1990-, et al.
(författare)
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Strategic assessment of railway station capacity – Further development of a UIC 406-based approach considering timetable uncertainty
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Railway capacity analysis aims to assess the number of trains that can reasonably be operated on a given infrastructure. The UIC timetable compression method is a widely accepted standard for evaluating and comparing the infrastructure utilization of timetable concepts. Originally designed for capacity analysis of railway lines it has been adapted to railway stations in the second version of UIC Code 406. In this paper we discuss further developments of a statistical approach for station capacity analysis using UIC-compression methodology suited for long-term infrastructure planning. It allows to assess the capability of railway station track layouts based on a distributional analysis of different timetable variants derived from a given traffic concept. As a result, the infrastructure’s flexibility to cope with different timetable variants – which is particularly relevant for deregulated transport markets – can be tested. To better account for train-interdependencies, stations are considered in their entirety and a new time-window oriented gap-filling approach is introduced that preserves the overall timetable structure while allowing to perform local optimization of infrastructure occupation. The approach is demonstrated in a case study based on the Southern part of the Swedish railway network.
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| 2. |
- Johansson, Ingrid, 1990-, et al.
(författare)
-
Strategic assessment of railway station capacity – Further development of a UIC 406-based approach considering timetable uncertainty
- 2021
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Konferensbidrag (refereegranskat)abstract
- Railway capacity analysis aims to assess the number of trains that can reasonably be operated on a given infrastructure. The UIC timetable compression method is a widely accepted standard for evaluating and comparing the infrastructure utilization of timetable concepts. Originally designed for capacity analysis of railway lines it has been adapted to railway stations in the second version of UIC Code 406. In this paper we discuss further developments of a statistical approach for station capacity analysis using UIC-compression methodology suited for long-term infrastructure planning. It allows to assess the capability of railway station track layouts based on a distributional analysis of different timetable variants derived from a given traffic concept. As a result, the infrastructure’s flexibility to cope with different timetable variants – which is particularly relevant for deregulated transport markets –can be tested. To better account for train-interdependencies, stations are considered in their entirety and a new time-window oriented gap-filling approach is introduced that preserves the overall timetable structure while allowing to perform local optimization of infrastructure occupation. The approach is demonstrated in a case study based on the Southern part of the Swedish railway network.
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| 3. |
- Weik, Norman, et al.
(författare)
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Extending UIC 406-based capacity analysis – New approaches for railway nodes and network effects
- 2020
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Ingår i: Journal of Rail Transport Planning & Management. - : Elsevier BV. - 2210-9706 .- 2210-9714. ; 15, s. 100199-
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Tidskriftsartikel (refereegranskat)abstract
- Railway capacity planning aims to determine the amount of traffic that can be operated on a given infrastructure. The timetable compression method described in UIC Code 406 has become one of the standard tools in this area. Motivated by the Swedish Transportation Administration's timetable independent adaptation of the methodology and its need for extension we explore how the compression method can be applied to evaluate the capacity of the underlying infrastructure for strategic planning rather than the occupation ratio of a specific timetable. By performing ensemble averaging of scheduled train sequences we abstract from a single timetable concept and perform a distributional analysis of timetable utilization. To mitigate decomposition-induced underestimation of network effects the compression area is extended and approaches to include interdependencies between stations and lines are investigated. The methodology is applied for capacity assessment of railway stations and line segments in a case study based on the Swedish Southern Main Line rail corridor.
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