Abstract
The use of planning techniques in traffic signal optimisation has proven effective in managing unexpected traffic conditions as well as typical traffic patterns. However, significant challenges concerning the deployability of generated signal plans remain, as planning systems need to consider constraints and features of the actual real-world infrastructure on which they will be implemented. To address this challenge, we introduce a range of PDDL+ models embodying technological requirements as well as insights from domain experts. The proposed models have been extensively tested on historical data using a range of well-known search strategies and heuristics, as well as alternative encodings. Results demonstrate their competitiveness with the state of the art.
Original language | English |
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Title of host publication | Proceedings of the 17th International Symposium on Combinatorial Search (SoCS 2024) |
Editors | Ariel Felner, Jiaoyang Li |
Publisher | AAAI press |
Pages | 269-270 |
Number of pages | 2 |
Volume | 17 |
Edition | 1 |
ISBN (Print) | 9781577358916 |
DOIs | |
Publication status | Published - 1 Jun 2024 |
Event | 17th International Symposium on Combinatorial Search - Pomeroy Kananaskis Mountain Lodge , Kananaskis, Canada Duration: 6 Jun 2024 → 8 Jun 2024 Conference number: 17 https://socs24.search-conference.org/ |
Publication series
Name | International Symposium on Combinatorial Search |
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Publisher | AAAI |
Volume | 2024 |
ISSN (Print) | 2832-9171 |
ISSN (Electronic) | 2832-9163 |
Conference
Conference | 17th International Symposium on Combinatorial Search |
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Abbreviated title | SoCS 2024 |
Country/Territory | Canada |
City | Kananaskis |
Period | 6/06/24 → 8/06/24 |
Internet address |