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A Domain-specific Heuristic for PDDL+-based Traffic Signal Optimisation

Title: A Domain-specific Heuristic for PDDL+-based Traffic Signal Optimisation
Authors: Doria, Francesco; Percassi, Francesco; Maratea, Marco; Vallati, Mauro
Contributors: Koenig, Sven; Jenkins, Chad; Taylor, Matthew E.
Source: Doria, F, Percassi, F, Maratea, M & Vallati, M 2026, A Domain-specific Heuristic for PDDL+-based Traffic Signal Optimisation. in S Koenig, C Jenkins & M E Taylor (eds), The Fortieth AAAI Conference on Artificial Intelligence : Thirty-Eighth Conference on Innovative Applications of Artificial Intelligence, Sixteenth Symposium on Educational Advances in Artificial Intelligence. vol. 40, Proceedings of the AAAI Conference on Artificial Intelligence, no. 43, vol. 40, AAAI press, pp. 36207-36216, The 40th Annual AAAI Conference on Artificial Intelligence, Singapore, 20/01/26. https://doi.org/10.1609/aaai.v40i43.40939
Publisher Information: AAAI press
Publication Year: 2026
Description: Optimising traffic signals is crucial for mitigating urban congestion, and automated planning, particularly with PDDL+, has shown promise for real-world deployment due to its flexibility and centralised perspective. While existing PDDL+ models guarantee deployability on current infrastructure, they face significant limitations: reliance on domain-independent heuristics restricts their applicability and scalability, leading to slow solution generation and unclear plan quality. To overcome these challenges and unlock the widespread adoption of planning-based traffic control, we introduce hCAFE, a domain-specific heuristic for PDDL+-based traffic signal optimisation. Unlike prior approaches, hCAFE is designed to work effectively across multiple problem encodings, addressing a key limitation of traditional domain-specific heuristics. We demonstrate its capabilities on real-world data from a region of the UK, showing significant improvements in solution generation time and search space exploration. Our evaluation also compares the strategies generated by hCAFE against historical data from existing traffic control systems and a non-deployable benchmark, confirming the high quality of the resulting plans.
Document Type: article in journal/newspaper
Language: English
ISBN: 978-1-57735-906-7; 1-57735-906-2
ISSN: 15773590
Relation: info:eu-repo/semantics/altIdentifier/isbn/1577359062; info:eu-repo/semantics/altIdentifier/isbn/9781577359067; urn:ISBN:1577359062; urn:ISBN:9781577359067
DOI: 10.1609/aaai.v40i43.40939
Availability: https://pure.hud.ac.uk/en/publications/10a5c3f5-e0dc-4ebb-a4e6-c558d6c62b91; https://doi.org/10.1609/aaai.v40i43.40939; https://ojs.aaai.org/index.php/AAAI/issue/view/725
Rights: info:eu-repo/semantics/closedAccess
Accession Number: edsbas.7DBBDF18
Database: BASE