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An Efficient Hybrid Planning Framework for In-Station Train Dispatching

First Author: Cardellini M
Attributed to:  Artificial Intelligence for Autonomic Urban Traffic Control funded by UKRI FLF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-030-77961-0_15

Publication URI: http://dx.doi.org/10.1007/978-3-030-77961-0_15

Type: Book Chapter

Book Title: Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part I (2021)

Page Reference: 168-182