Abstract
Abstract
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.
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Urban Studies,Transportation,Automotive Engineering,Geography, Planning and Development,Civil and Structural Engineering
Reference362 articles.
1. Montella B, Gallo M, D’Acierno L (1999) Multimodal network design problems. WIT Trans Built Environ 91:405–414
2. Sewcyk B, Kettner M (2001) Network evaluation model NEMO. In: Proceedings of the 5th world congress on rail research—WCRR 2001, Cologne, Nov 2001
3. Middelkoop D, Bouwman M (2001) SIMONE: large scale train network simulations. In: Proceedings of the 2001 winter simulation conference, Piscataway, Dec 2001
4. TransCAD Transportation Planning Software. Web site: www.caliper.com/tcovu.htm. Accessed Oct 2018
5. Radtke A, Bendfeldt J (2001) Handling of railway operation problems with RailSys. In: Proceedings of the 5th world congress on rail research—WCRR 2001, Cologne, Nov 2001
Cited by
21 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Multi-Agent Reinforcement Learning for railway rescheduling;2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI);2023-05-23
2. Structural Evolution and Community Detection of China Rail Transit Route Network;Sustainability;2022-09-28
3. Environment Representations of Railway Infrastructure for Reinforcement Learning-Based Traffic Control;Applied Sciences;2022-04-28
4. Bike sharing for students’ mobility: the case study of the new engineering hub in Naples, Italy;2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2021-09-07
5. A feasibility assessment of multi-modelling approaches for rail decarbonisation systems simulation;Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit;2021-09-06