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In the forthcoming decades, railway transport is expected to face a signifcant growth of traffic flows which will mostly have to be accommodated over the existing infrastructures. An increase of capacity utilization is needed to avoid reduction of reliability and punctuality of transport services. Furthermore, energy-efficient operations and multimodality opportunities are also topics of growing interest. Intelligent railway operations management requires accurate modelling and simulation of train and pedestrian traffic fows and optimal management of key decisions at strategic, tactical, and operational levels. This special issue focuses on advanced mathematical modelling and optimal control in the railway domain and related multimodal transport networks. We aim to identify new methods for improving the efectiveness and efciency of railway operations, including the development of advanced algorithmic techniques for timetabling, capacity management, infrastructure management, and trafc and passengers fow management. | In the forthcoming decades, railway transport is expected to face a signifcant growth of traffic flows which will mostly have to be accommodated over the existing infrastructures. An increase of capacity utilization is needed to avoid reduction of reliability and punctuality of transport services. Furthermore, energy-efficient operations and multimodality opportunities are also topics of growing interest. Intelligent railway operations management requires accurate modelling and simulation of train and pedestrian traffic fows and optimal management of key decisions at strategic, tactical, and operational levels. This special issue focuses on advanced mathematical modelling and optimal control in the railway domain and related multimodal transport networks. We aim to identify new methods for improving the efectiveness and efciency of railway operations, including the development of advanced algorithmic techniques for timetabling, capacity management, infrastructure management, and trafc and passengers fow management. | ||
| − | Document type: | + | Document type: Article |
== Full document == | == Full document == | ||
| − | <pdf>Media: | + | <pdf>Media:DAriano_et_al_2018a-beopen797-6412-document.pdf</pdf> |
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The different versions of the original document can be found in: | The different versions of the original document can be found in: | ||
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| − | * [http://dx.doi.org/10.1155/2018/4896748 http://dx.doi.org/10.1155/2018/4896748] under the license | + | * [http://dx.doi.org/10.1155/2018/4896748 http://dx.doi.org/10.1155/2018/4896748] under the license cc-by |
| − | * [http://dx.doi.org/10.3929/ethz-b-000281197 http://dx.doi.org/10.3929/ethz-b-000281197] | + | * [http://dx.doi.org/10.3929/ethz-b-000281197 http://dx.doi.org/10.3929/ethz-b-000281197] under the license http://creativecommons.org/licenses/by/4.0 |
| − | * [http://hdl.handle.net/20.500.11850/281197 http://hdl.handle.net/20.500.11850/281197] under the license | + | * [http://hdl.handle.net/20.500.11850/281197 http://hdl.handle.net/20.500.11850/281197] under the license https://creativecommons.org/licenses/by/4.0/legalcode |
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| − | * [http://dx.doi.org/10.1155/2018/4896748 http://dx.doi.org/10.1155/2018/4896748],[https://doaj.org/toc/0197-6729 https://doaj.org/toc/0197-6729],[https://doaj.org/toc/2042-3195 https://doaj.org/toc/2042-3195] | + | * [http://dx.doi.org/10.1155/2018/4896748 http://dx.doi.org/10.1155/2018/4896748], |
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| + | * [https://discovery.ucl.ac.uk/id/eprint/10056770 https://discovery.ucl.ac.uk/id/eprint/10056770], | ||
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| + | * [https://hal.archives-ouvertes.fr/hal-02485859 https://hal.archives-ouvertes.fr/hal-02485859], | ||
| + | : [https://hal.archives-ouvertes.fr/hal-02485859/document https://hal.archives-ouvertes.fr/hal-02485859/document], | ||
| + | : [https://hal.archives-ouvertes.fr/hal-02485859/file/doc00031343.pdf https://hal.archives-ouvertes.fr/hal-02485859/file/doc00031343.pdf] | ||
| + | |||
| + | * [https://www.hindawi.com/journals/jat/2018/4896748 https://www.hindawi.com/journals/jat/2018/4896748], | ||
| + | : [http://downloads.hindawi.com/journals/jat/2018/4896748.pdf http://downloads.hindawi.com/journals/jat/2018/4896748.pdf], | ||
| + | : [https://iris.uniroma3.it/handle/11590/355747 https://iris.uniroma3.it/handle/11590/355747], | ||
| + | : [https://discovery.ucl.ac.uk/10056770 https://discovery.ucl.ac.uk/10056770], | ||
| + | : [http://discovery.ucl.ac.uk/10056770 http://discovery.ucl.ac.uk/10056770], | ||
| + | : [https://academic.microsoft.com/#/detail/2886659502 https://academic.microsoft.com/#/detail/2886659502] | ||
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DOIS: 10.1155/2018/4896748 10.3929/ethz-b-000281197 | DOIS: 10.1155/2018/4896748 10.3929/ethz-b-000281197 | ||
In the forthcoming decades, railway transport is expected to face a signifcant growth of traffic flows which will mostly have to be accommodated over the existing infrastructures. An increase of capacity utilization is needed to avoid reduction of reliability and punctuality of transport services. Furthermore, energy-efficient operations and multimodality opportunities are also topics of growing interest. Intelligent railway operations management requires accurate modelling and simulation of train and pedestrian traffic fows and optimal management of key decisions at strategic, tactical, and operational levels. This special issue focuses on advanced mathematical modelling and optimal control in the railway domain and related multimodal transport networks. We aim to identify new methods for improving the efectiveness and efciency of railway operations, including the development of advanced algorithmic techniques for timetabling, capacity management, infrastructure management, and trafc and passengers fow management.
Document type: Article
The different versions of the original document can be found in:
DOIS: 10.1155/2018/4896748 10.3929/ethz-b-000281197
Published on 01/01/2018
Volume 2018, 2018
DOI: 10.1155/2018/4896748
Licence: CC BY-NC-SA license
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