An Efficient Hybrid Planning Framework for In-Station Train Dispatching. Cardellini, M., Maratea, M., Vallati, M., Boleto, G., & Oneto, L. In Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V. V., Dongarra, J. J., & Sloot, P. M. A., editors, Computational Science – ICCS 2021, volume 12742, pages 168–182, Cham, 2021. Springer International Publishing. Series Title: Lecture Notes in Computer Science![An Efficient Hybrid Planning Framework for In-Station Train Dispatching [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex In-station train dispatching is the problem of optimising the effective utilisation of available railway infrastructures for mitigating incidents and delays. This is a fundamental problem for the whole railway network efficiency, and in turn for the transportation of goods and passengers, given that stations are among the most critical points in networks since a high number of interconnections of trains’ routes holds therein. Despite such importance, nowadays in-station train dispatching is mainly managed manually by human operators.
@inproceedings{paszynski_efficient_2021,
address = {Cham},
title = {An {Efficient} {Hybrid} {Planning} {Framework} for {In}-{Station} {Train} {Dispatching}},
volume = {12742},
copyright = {All rights reserved},
isbn = {978-3-030-77960-3 978-3-030-77961-0},
url = {https://link.springer.com/10.1007/978-3-030-77961-0_15},
doi = {10.1007/978-3-030-77961-0_15},
abstract = {In-station train dispatching is the problem of optimising the effective utilisation of available railway infrastructures for mitigating incidents and delays. This is a fundamental problem for the whole railway network efficiency, and in turn for the transportation of goods and passengers, given that stations are among the most critical points in networks since a high number of interconnections of trains’ routes holds therein. Despite such importance, nowadays in-station train dispatching is mainly managed manually by human operators.},
language = {en},
urldate = {2022-10-05},
booktitle = {Computational {Science} – {ICCS} 2021},
publisher = {Springer International Publishing},
author = {Cardellini, Matteo and Maratea, Marco and Vallati, Mauro and Boleto, Gianluca and Oneto, Luca},
editor = {Paszynski, Maciej and Kranzlmüller, Dieter and Krzhizhanovskaya, Valeria V. and Dongarra, Jack J. and Sloot, Peter M. A.},
year = {2021},
note = {Series Title: Lecture Notes in Computer Science},
pages = {168--182},
}
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