engleski

Dynamic capacity allocation of tollbooth plaza based on fuzzy logic

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.

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

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