Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/B36CF5D1-2B51-4BF0-8891-BBB79360CB31 | - |
| Identifier | https://doi.org/10.1109/ITSC.2011.6082968 | - |
| Language | en | - |
| Title | A learning technique for deploying self-tuning traffic control systems | en |
| Creator | Papageorgiou Markos | en |
| Creator | Παπαγεωργιου Μαρκος | el |
| Creator | Kosmatopoulos Ilias | en |
| Creator | Κοσματοπουλος Ηλιας | el |
| Creator | Ioannis Papamichail | en |
| Creator | Kouvelas Anastasios | en |
| Creator | Κουβελας Αναστασιος | el |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | Currently, a considerable amount of human effort and time is spent for initialization or calibration of operational traffic control systems. Typically, this optimization (fine-tuning) procedure is conducted manually, via trial-and-error, relying on expertise and human judgment and does not always lead to a desirable outcome. This paper presents a new learning/adaptive algorithm that enables automatic fine-tuning of general traffic control systems. The efficiency and online feasibility of the algorithm is investigated through extensive simulation experiments. The fine-tuning problem of three mutually-interacting control modules - each one with its distinct design parameters - of an urban traffic signal control strategy is thoroughly investigated. Simulation results indicate that the learning algorithm can provide efficient automatic fine-tuning, guaranteeing safe and convergent behavior. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-09 | - |
| Date of Publication | 2011 | - |
| Bibliographic Citation | A. Kouvelas, M. Papageorgiou, E.B. Kosmatopoulos, I. Papamichail, "A learning technique for deploying self-tuning traffic control systems," in 14th International IEEE Conference on Intelligent Transportation Systems, 2011, pp. 1646-1651. doi: 10.1109/ITSC.2011.6082968 | en |
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