Rescheduling Railway Traffic Taking into Account Minimization of Passengers’ Discomfort

Corman, Francesco; Pacciarelli, Dario; D’Ariano, Andrea; Samà, Marcella

doi:10.1007/978-3-319-24264-4_41

Cited by 9 publications

(6 citation statements)

References 22 publications

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“…The trade-off between the targets pursued by the two above-mentioned stakeholders (i.e. infrastructure managers and train operating companies) is addressed in [87, 163,164]. In addition, since the reduction in energy consumption is one of the main goals of railway companies, as already touched upon, rescheduling methods which adopt an energy-saving perspective have also been proposed, confirming the close relationship among the analysed domains.…”

Section: The Rescheduling Problemmentioning

confidence: 76%

Dispatching and Rescheduling Tasks and Their Interactions with Travel Demand and the Energy Domain: Models and Algorithms

Botte

D’Acierno

2018

Urban Rail Transit

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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 simulation environment a rail service cannot be considered an isolated system, also the connected systems, which influence and, in turn, are influenced by such services, must be properly modelled. For this purpose, an extensive overview of the rail simulation and optimisation models proposed in the literature is first provided. Rail simulation models are classified according to the level of detail implemented (microscopic, mesoscopic and macroscopic), the variables involved (deterministic and stochastic) and the processing techniques adopted (synchronous and asynchronous). By contrast, within rail optimisation models, both planning (timetabling) and management (rescheduling) phases are discussed. The main issues concerning the interaction of rail services with travel demand flows and the energy domain are also described. Finally, in an attempt to provide a comprehensive framework an overview of the main metaheuristic resolution techniques used in the planning and management phases is shown.

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Section: The Rescheduling Problemmentioning

confidence: 76%

Dispatching and Rescheduling Tasks and Their Interactions with Travel Demand and the Energy Domain: Models and Algorithms

Botte

D’Acierno

2018

Urban Rail Transit

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“…Reference [6] extended the laboratory scheduling support tool ROMA to deal with more saturated railway networks and complex infrastructure configurations. Reference [7] put forward a delay management model which focused on the impact of rescheduling decisions on the service quality of passengers. A new lower bound was proposed, which consisted of solutions to a set of min-cost flow problems with activation constraints.…”

Section: A Timetable Scheduling and Reschedulingmentioning

confidence: 99%

Scheduling Extra Train Paths Into Cyclic Timetable Based on the Genetic Algorithm

Tan

Wang

2020

IEEE Access

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In order to support the process of scheduling a hybrid cyclic timetable, this paper is devoted to inserting additional non-cyclic train paths into existing cyclic timetable. The adding train paths problem is an integration of timetable scheduling and rescheduling problem. The train dispatcher can not only modify the given timetable to manage the interruptions in existing operations, but also establish schedules for additional trains. A multi-objective model minimizing both the travel time of additional trains and the variation of existing trains is proposed in this paper. In addition, we consider both general constraints and some additional practical constraints, such as the overtaking priority constraint, reasonable adjustment of initial schedules and the scheduled connections. This problem is very difficult and must be solved in practice. A heuristic algorithm is introduced to find high-quality solutions for large-scale cases within reasonable computing time. Based on high-speed railway line in China, the case studies illustrate the methodology and compare the performance of trains. Numerical experiments indicate that the proposed solution approach to the adding train paths problem is promising. INDEX TERMS High-speed railway, cyclic timetable, adding additional train paths, genetic algorithm, mixed integer programming.

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“…However, other promising approaches have been provided in the literature, either based on mathematical formulations (Cadarso and Marín [3]; Caimi et al [7]; Lamorgese and Mannino [34]; Pellegrini et al [43]; Rodriguez [46]; S ¸ahin [47]; Törnquist and Persson [51]; Wegele et al [54]) or on algorithmic approaches (Almodovar et al [2], Cai and Goh [6]; Cheng [8]; Chiu et al [9]; Liu and Kozan [35]; Törnquist Krasemann [52]; Wegele and Schnieder [53]). Another important aspect when dealing with rail operations is the passenger behaviour (Cadarso et al [4]; Corman et al [19]; Dollevoet et al [28]; Kroon et al [33]), even if this latter aspect is not considered explicitly in this paper.…”

Section: Literature Reviewmentioning

confidence: 99%

A variable neighbourhood search for fast train scheduling and routing during disturbed railway traffic situations

Samà

D’Ariano

Corman

et al. 2017

Computers & Operations Research

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129

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Rescheduling Railway Traffic Taking into Account Minimization of Passengers’ Discomfort

Cited by 9 publications

References 22 publications

Dispatching and Rescheduling Tasks and Their Interactions with Travel Demand and the Energy Domain: Models and Algorithms

Dispatching and Rescheduling Tasks and Their Interactions with Travel Demand and the Energy Domain: Models and Algorithms

Scheduling Extra Train Paths Into Cyclic Timetable Based on the Genetic Algorithm

A variable neighbourhood search for fast train scheduling and routing during disturbed railway traffic situations

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