Academic Journal
Deployable Yet Effective Traffic Signal Optimisation via Automated Planning
العنوان: | Deployable Yet Effective Traffic Signal Optimisation via Automated Planning |
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المؤلفون: | El Kouaiti, Anas, Percassi, Francesco, Saetti, Alessandro, McCluskey, Lee, Vallati, Mauro |
المساهمون: | Felner, Ariel, Li, Jiaoyang |
المصدر: | El Kouaiti , A , Percassi , F , Saetti , A , McCluskey , L & Vallati , M 2024 , Deployable Yet Effective Traffic Signal Optimisation via Automated Planning . in A Felner & J Li (eds) , Proceedings of the 17th International Symposium on Combinatorial Search (SoCS 2024) . 1 edn , vol. 17 , International Symposium on Combinatorial Search , vol. 2024 , AAAI press , pp. 269-270 , 17th International Symposium on Combinatorial Search , Kananaskis , Alberta , Canada , 6/06/24 . https://doi.org/10.1609/socs.v17i1.31575 |
بيانات النشر: | AAAI press |
سنة النشر: | 2024 |
الوصف: | 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. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
DOI: | 10.1609/socs.v17i1.31575 |
الاتاحة: | https://pure.hud.ac.uk/en/publications/57aa9dae-f577-45e9-b161-8c5073f3141e https://doi.org/10.1609/socs.v17i1.31575 https://ojs.aaai.org/index.php/SOCS/issue/view/607 http://www.scopus.com/inward/record.url?scp=85196670574&partnerID=8YFLogxK |
Rights: | info:eu-repo/semantics/openAccess |
رقم الانضمام: | edsbas.E2BA0636 |
قاعدة البيانات: | BASE |
DOI: | 10.1609/socs.v17i1.31575 |
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