Academic Journal

Deployable Yet Effective Traffic Signal Optimisation via Automated Planning

التفاصيل البيبلوغرافية
العنوان: Deployable Yet Effective Traffic Signal Optimisation via Automated Planning
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
الوصف
DOI:10.1609/socs.v17i1.31575