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Review of planning and capacity analysis for stations with multiple platforms – Case Stuttgart 21
- Source :
- Journal of Rail Transport Planning & Management. 6:313-330
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- The master plan, design and capacity analysis of the future network timetable and track infrastructure of the project known as Stuttgart 21 (Germany) is reviewed with focus on the methods and results for capacity estimation of the planned through station close to the city center. The methods used and results reported for the capacity analysis of the network timetable and in particular the main through station since the first feasibility studies in 1994, complementing timetabling and operations research analysis in 1997 until the robustness analysis in the scope of the stress test simulations are described in detail in order to identify and discuss the critical issues. The shortcomings of the original approach consisting of a periodic network timetable design, queuing models for the estimation of the waiting probability and queue length for the purpose of timetabling and estimation of the operations quality respectively, as well as multiple stochastic simulations are explained and the consistency of the recent stress test simulations are examined.
- Subjects :
- Estimation
050210 logistics & transportation
Queueing theory
Engineering
Operations research
Scope (project management)
business.industry
05 social sciences
Transportation
010501 environmental sciences
Management Science and Operations Research
Track (rail transport)
01 natural sciences
Computer Science Applications
Consistency (database systems)
Robustness (computer science)
Stress test
Modeling and Simulation
0502 economics and business
business
Queue
0105 earth and related environmental sciences
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 22109706
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Journal of Rail Transport Planning & Management
- Accession number :
- edsair.doi...........6b72439644de352931d2f64e14173b91
- Full Text :
- https://doi.org/10.1016/j.jrtpm.2016.12.002