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Automated tuning of ITS management and control systems: results from real-life experiments

Manolis Diamantis, Papamichail Ioannis, Kosmatopoulos Ilias, Papageorgiou Markos

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/0EC95C71-461E-4C84-8B07-5490B814AA38-
Αναγνωριστικόhttps://www.sciencedirect.com/science/article/pii/S0968090X15003216?via%3Dihub-
Αναγνωριστικόhttps://doi.org/10.1016/j.trc.2015.08.020-
Γλώσσαen-
Μέγεθος17 pagesen
ΤίτλοςAutomated tuning of ITS management and control systems: results from real-life experimentsen
ΔημιουργόςManolis Diamantisen
ΔημιουργόςΜανωλης Διαμαντηςel
ΔημιουργόςPapamichail Ioannisen
ΔημιουργόςΠαπαμιχαηλ Ιωαννηςel
ΔημιουργόςKosmatopoulos Iliasen
ΔημιουργόςΚοσματοπουλος Ηλιαςel
ΔημιουργόςPapageorgiou Markosen
ΔημιουργόςΠαπαγεωργιου Μαρκοςel
ΕκδότηςElsevieren
ΠερίληψηThe design and deployment of the majority of Management and Control Systems (MCS) for ITS involves a tedious, effort- and time-consuming manual tuning and calibration procedure not only during the initial design and deployment of the ITS but, in most cases, during its whole lifetime. Recently, we have developed and evaluated, both by means of theoretical analysis and extensive simulation experiments, a new methodology which fully automatically takes over the manual tuning and calibration procedure. Most importantly, this new methodology, called Adaptive Fine-Tuning (AFT), achieves to improve the performance of the system and compensate the effect of the continuous changes of its behavior that may be due to either internal or external factors. In this paper, we report results of implementing AFT to a real-life ITS MCS. More precisely, this paper reports and analyzes the results from implementing AFT to an urban traffic signal control application. The results from AFT real-life application demonstrate that it is capable of significantly improving the performance of the system in a safe and robust manner. Moreover, the real-life results exhibit the capability of AFT to efficiently adapt and compensate in cases of changes in the system behavior, even if these changes are significant.en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2018-10-15-
Ημερομηνία Δημοσίευσης2016-
Θεματική ΚατηγορίαAdaptive fine-tuningen
Θεματική ΚατηγορίαCognitive adaptive optimizationen
Θεματική ΚατηγορίαManagement and control systems for ITSen
Θεματική ΚατηγορίαUrban traffic controlen
Βιβλιογραφική ΑναφοράD. Manolis, I. Papamichail, E. B. Kosmatopoulos and M. Papageorgiou, "Automated tuning of ITS management and control systems: results from real-life experiments," Transport Res C: Emer., vol. 66, pp. 119-135, May 2016. doi: 10.1016/j.trc.2015.08.020 en

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