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Optimization of supplements and buffer times in passenger robust timetabling
- Publication Year :
- 2017
- Publisher :
- Elsevier Ltd, 2017.
-
Abstract
- This paper proposes an iterative approach to construct a passenger robust railway routing plan and timetable from scratch that also takes supplement and buffer time allocation into account on the signaling level. Each iteration is based on four pillars, which are subsequently executed. First a routing plan that optimizes infrastructure usage is constructed. Secondly, a timetable is constructed that optimizes buffer times between trains while taking passenger numbers into account. Thirdly, simulation is used to evaluate the passenger robustness of the routing plan and the timetable. Finally, the simulation outcome is used to make a new supplement assignment for the next iteration. The algorithm is tested on a case study for the complex station area of Brussels (Belgium). The resulting timetable and routing plan are much more passenger robust than the existing combinations of timetables and routing plans for this case, developed during research or implemented in practice. no ISSN ispartof: pages:190-208 ispartof: Proceedings of 7th International Seminar on Railway Operations Modelling and Analysis (IAROR) vol:2017 pages:190-208 ispartof: RailLille2017 location:Lille, France date:4 Apr - 7 Apr 2017 status: published
- Subjects :
- 050210 logistics & transportation
Engineering
021103 operations research
Operations research
business.industry
05 social sciences
Time allocation
0211 other engineering and technologies
Transportation
02 engineering and technology
Management Science and Operations Research
simulation
Computer Science Applications
Transport engineering
CIB_PUBLIC
timetabling
routing
Robustness (computer science)
Modeling and Simulation
0502 economics and business
Train
business
Passenger robustness
Civil and Structural Engineering
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....2cf80ac6dfce938ef39528d398037fcc