Viera Klasovitá


Last Name

Klasovitá

First Name

Viera

ORCID

0000-0003-3105-5218

Organisational unit

09611 - Corman, Francesco / Corman, Francesco

Filters

2023 - 20257
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Publications 1 - 7 of 7
  • Stochasticity in line planning and timetabling
    Item type: Presentation
    Klasovitá, Viera; Corman, Francesco (2024)
  • Line planning for time-varying passenger demand in railways
    Item type: Other Conference Item
    Klasovitá, Viera; Corman, Francesco (2023)
    RailBelgrade 2023: Book of Abstracts
    We consider the problem of line planning for a public transport network. We focus on railways as it is more constrained by the availability of infrastructure and overtakes along the infrastructure resources. We look at the extension to evaluate demand which is variable across time. As a goal, we want to keep the nice solution of having a single line plan throughout the demand variations. Formally, we study a periodic line plan, with a set of lines that repeat a given amount of times (frequency) in a given period. Each line has also a given stopping pattern. The frequency and stopping pattern can vary across periods in our variable demand extension. Therefore, we design a multi-stage optimisation model to describe this situation and indicate possible ways to solve it. We comment on the relevance of such a solution.
  • Routing passengers while timetabling based on promises from line planning
    Item type: Conference Paper
    Fuchs, Florian; Klasovitá, Viera; Corman, Francesco (2023)
    hEART 2023: 11th Symposium of the European Association for Research in Transportation
    Effective line planning and timetabling are critical for enhancing public transport efficiency and passenger satisfaction. We propose a Logic-Based Benders decomposition approach to optimise a timetable for a passenger railway system based on the promises made in earlier planning stages. Our approach ensures that the promised travel times and transfers are available and passenger routes are chosen according to the shortest available path. We test this approach on real-world data from the Rhätische Bahn railway system, demonstrating promising results. The proposed approach has shown to be valuable for optimising transfers, improving efficiency and passenger satisfaction, and reducing travel times. The method has limitations, including the inability to consider multiple connections per origin-destination pair, adaptation time at the origin station, and crowding. Further research can focus on improving and extending the model's performance to include these factors.
  • Line planning with passenger demand uncertainty
    Item type: Other Conference Item
    Klasovitá, Viera; Corman, Francesco (2023)
  • Stochastic programming for the line planning problem with uncertain passenger demand
    Item type: Conference Paper
    Klasovitá, Viera; Fuchs, Florian; Corman, Francesco (2025)
    In this paper, we investigate the use of stochastic programming with a recourse action for line planning in public transport systems, specifically addressing the uncertainty in passenger demand. We compare the performance of the integer L-shaped method with a standard solver, focusing on runtime, optimality gaps, and the quality of solutions. Our results indicate that, while the L-shaped method has a large optimality gap and extended runtime, it often achieves similar or even better results compared to the solver and finds good solutions quickly. The analysis of different demand scenarios reveals varying second-stage costs that follow expected patterns. Furthermore, the computed value of stochastic solution (VSS) and the expected value of perfect information (EVPI) are promising, demonstrating the significant benefits of incorporating uncertainty into the line planning process. These findings underscore the importance of developing stochastic models that can effectively handle variability in passenger demand, ultimately improving decision-making and the overall performance of public transport systems.
  • Line planning for time-varying passenger demand in railways
    Item type: Conference Poster
    Klasovitá, Viera; Corman, Francesco (2023)
  • Including uncertainties in line planning and timetabling
    Item type: Conference Paper
    Klasovitá, Viera; Corman, Francesco (2024)
    This paper examines some important aspects of uncertainties in the line planning problem and in timetabling within the context of public transport. A literature review considers various methods for modelling the problem and associated uncertainties. These models range from (light) robustness to stochastic programming, e.g. 2-stage models, for stochastic parameters. In addition, the paper explores various solution strategies that have been applied to address uncertainties in line planning and related problems. The synthesis of the different literature papers shows which uncertainties are usually considered, which seem to be omitted, and different ways of modelling them. Moreover, it also reveals variations in terminology across different papers, highlighting the complexities researchers face.
Publications 1 - 7 of 7