Abstract
In railway networks, stations are probably the most critical points for interconnecting trains’ routes: in a restricted geographical area, a potentially large number of trains have to stop according to an official timetable, with the concrete risk of accumulating delays that can then have a knockout effect on the rest of the network. In this context, in-station train dispatching plays a central role in maximising the effective utilisation of available railway infrastructures and in mitigating the impact of incidents and delays. Unfortunately, in-station train dispatching is still largely handled manually by human operators in charge of a group of stations. In this paper we make a step towards supporting the operator with some automatic tool, by describing an approach for performing in-station dispatching by means of automated planning techniques. Given the mixed discrete-continuous nature of the problem, we employ PDDL+ for the specification of the problem, and the ENHSP planning engine enhanced by domain-specific solving techniques. Results on a range of scenarios, using real-data of a station of the North West of Italy, show the potential of our approach.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 31st International Conference on Automated Planning and Scheduling |
| Subtitle of host publication | ICAPS 2021 |
| Editors | Susanne Biundo, Minh Do, Robert Goldman, Michael Katz, Qiang Yang, Hankz Hankui Zhou |
| Publisher | AAAI press |
| Pages | 450-458 |
| Number of pages | 9 |
| Volume | 31 |
| ISBN (Print) | 9781577358671 |
| DOIs | |
| Publication status | Published - 18 May 2021 |
| Event | 31st International Conference on Automated Planning and Scheduling - Now to be held online due to COVID-19), Virtual from Guangzhou, China Duration: 2 Aug 2021 → 13 Aug 2021 Conference number: 31 https://icaps21.icaps-conference.org/ |
Publication series
| Name | Proceedings of the International Conference on Automated Planning and Scheduling |
|---|---|
| Publisher | AAAI Press |
| Volume | 31 |
| ISSN (Print) | 2334-0835 |
| ISSN (Electronic) | 2334-0843 |
Conference
| Conference | 31st International Conference on Automated Planning and Scheduling |
|---|---|
| Abbreviated title | ICAPS 2021 |
| Country/Territory | China |
| City | Virtual from Guangzhou |
| Period | 2/08/21 → 13/08/21 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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