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Pregled bibliografske jedinice broj: 595065

Dynamic capacity allocation of tollbooth plaza based on fuzzy logic


Ivanjko, Edouard; Matulin, Marko; Mrvelj, Štefica
Dynamic capacity allocation of tollbooth plaza based on fuzzy logic // Proceedings of 23th International Central European Conference on Information and Intelligent Systems CECIIS 2012 / Tihomir Hunjak, Sandra Lovrenčić, Igor Tomičić (ur.).
Varaždin: Faculty of Organization and Informatics, University of Zagreb, 2012. str. 413-419 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Dynamic capacity allocation of tollbooth plaza based on fuzzy logic

Autori
Ivanjko, Edouard ; Matulin, Marko ; Mrvelj, Štefica

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 23th International Central European Conference on Information and Intelligent Systems CECIIS 2012 / Tihomir Hunjak, Sandra Lovrenčić, Igor Tomičić - Varaždin : Faculty of Organization and Informatics, University of Zagreb, 2012, 413-419

Skup
23th International Central European Conference on Information and Intelligent Systems CECIIS 2012

Mjesto i datum
Varaždin, Hrvatska, 19-21.09.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Tollbooth plaza; fuzzy logic controller; Markov process; dynamic capacity allocation

Sažetak
This paper presents a fuzzy logic-based approach to control the number of active tollbooths in order to ensure desired Level of Service (LoS) with minimum of expenses. Input variables for proposed controller are: current queue length and current queue length change in two consecutive time steps. Controller output is the value that determines the type of change (increase, decrease or no change) of the active tollbooths number. A quality criterion for tollbooth plaza capacity control is proposed regarding the desired LoS defined with minimal and maximal waiting time constraints. Proposed criterion is used to evaluate the implemented fuzzy logic controller. For testing of the fuzzy logic controller, a stochastic queuing theory model is implemented as a Matlab/Simulink simulation model. Usability of implemented model and controller is also examined for system behavior prediction by using estimated values of traffic flow density. In order to provide relevant simulation results, real traffic flow data are used, including real toll payment time constants.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Tehnologija prometa i transport



POVEZANOST RADA


Projekt / tema
135-1352598-2581 - Metodologija razvoja integriranih adaptivnih transportno-logističkih sustava (Sadko Mandžuka, )

Ustanove
Fakultet prometnih znanosti, Zagreb