| Title: |
PDDL+ Models for Deployable yet Effective Traffic Signal Optimisation |
| Authors: |
El Kouaiti, Anas; Percassi, Francesco; Saetti, Alessandro; McCluskey, Lee; Vallati, Mauro |
| Contributors: |
Bernardini, Sara; Muise, Christian |
| Source: |
El Kouaiti, A, Percassi, F, Saetti, A, McCluskey, L & Vallati, M 2024, PDDL+ Models for Deployable yet Effective Traffic Signal Optimisation. in S Bernardini & C Muise (eds), Proceedings of the Thirty-Forth International Conference on Automated Planning and Scheduling. Proceedings International Conference on Automated Planning and Scheduling, ICAPS, vol. 34, AAAI press, pp. 168-177, 34th International Conference on Automated Planning and Scheduling, Banff, Alberta, Canada, 1/06/24. https://doi.org/10.1609/icaps.v34i1.31473 |
| Publisher Information: |
AAAI press |
| Publication Year: |
2024 |
| Description: |
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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| ISBN: |
978-1-57735-889-3; 1-57735-889-9 |
| Relation: |
info:eu-repo/semantics/altIdentifier/isbn/9781577358893; urn:ISBN:9781577358893 |
| DOI: |
10.1609/icaps.v34i1.31473 |
| Availability: |
https://pure.hud.ac.uk/en/publications/0954fcc2-d082-44a3-9fbf-9de71ed3d3a6; https://doi.org/10.1609/icaps.v34i1.31473; https://www.scopus.com/pages/publications/85195933495 |
| Rights: |
info:eu-repo/semantics/openAccess |
| Accession Number: |
edsbas.C35F0644 |
| Database: |
BASE |