Robustness and disturbances in public transport

L Ge, S Voß, L Xie - Public transport, 2022 - Springer
Network-based systems are at the core of our everyday life. Whether it is electronic
networking, electricity grids or transportation, users expect the networks to function properly …

Dispatching and rescheduling tasks and their interactions with travel demand and the energy domain: Models and algorithms

M Botte, L D'Acierno - Urban Rail Transit, 2018 - Springer
The paper aims to provide an overview of the key factors to consider when performing
reliable modelling of rail services. Given our underlying belief that to build a robust …

Designing a hybrid system dynamic model for analyzing the impact of strategic alignment on project portfolio selection

FH Rad, SM Rowzan - Simulation Modelling Practice and Theory, 2018 - Elsevier
One of the key challenges in project organizations is the alignment of portfolio management
with major corporate strategies. Usually, project-based organizations use shared resources …

An efficient heuristic method for joint optimization of train scheduling and stop planning on double-track railway systems

M Boroun, S Ramezani… - INFOR: Information …, 2020 - Taylor & Francis
In this study, a new mathematical programming approach for solving the joint timetabling
and train stop planning problem in a railway line with double-track segments is proposed …

A fuzzy expert system for mitigation of risks and effective control of gas pressure reduction stations with a real application

R Nourian, SM Mousavi, S Raissi - Journal of loss prevention in the process …, 2019 - Elsevier
Environmental changes and increased uncertainty due to technical damage, explosions and
large fires have caused the risk of an inevitable element in the gas industry. This study …

Train schedule optimization in a high-speed railway system using a hybrid simulation and meta-model approach

E Hassannayebi, M Boroun, SA Jordehi… - Computers & Industrial …, 2019 - Elsevier
In urban metro systems, several factors such as passenger congestion may affect the
movement of trains, resulting in significant deviations from the planned timetable. This study …

[HTML][HTML] A decision making procedure for robust train rescheduling based on mixed integer linear programming and Data Envelopment Analysis

G Cavone, M Dotoli, N Epicoco, C Seatzu - Applied Mathematical Modelling, 2017 - Elsevier
This paper presents a self-learning decision making procedure for robust real-time train
rescheduling in case of disturbances. The procedure is applicable to aperiodic timetables of …

Literature Review on Problem Models and Solution Approaches for Managing Real-Time Passenger Train Operations: The Perspective of Train Operating Companies

L Marques, S Moro, P Ramos - Transportation Research …, 2023 - journals.sagepub.com
This study presents a comprehensive review of different problem models for managing
railway operations by problem-type classification. Railway terminology was used to identify …

Stochastic optimization of an urban rail timetable under time‐dependent and uncertain demand

M Shakibayifar, E Hassannayebi… - … Stochastic Models in …, 2017 - Wiley Online Library
Urban rail planning is extremely complex, mainly because it is a decision problem under
different uncertainties. In practice, travel demand is generally uncertain, and therefore, the …

A multi-commodity network flow model for railway capacity optimization in case of line blockage

A Azadi Moghaddam Arani, F Jolai… - International Journal of …, 2019 - Taylor & Francis
In this study, a multi-commodity network flow model is proposed to optimize the railroad
capacity under temporary line blockage. The proposed model enables the assessment of …