Majalah Ilmiah Unikom

This paper presents the design and simulation of an intelligent traffic lights con-troller based on Interval Type 2 Fuzzy System to control a traffic complex inter-section. To control a set of intersection we distribute controls to the controller at each intersection. The controller contains fuzzy next phase module and fuzzy green phase module. The next phase module is working on the phasing, while the green phase module belongs to the green extension level of this multi-level control system. A macroscopic simulator has been developed to simulate the situation of a traffic control intersection. And this simulation software was used to facilitate the evaluation of the proposed Type 2 Fuzzy System strategy. The software allows simulation of different traffic conditions at the intersection. The Type 2 Fuzzy Logic System is compared with Type 1 Fuzzy System and a conven-tional Fixed-Time Controller. The simulation results show that the Type 2 Fuzzy Logic Controller has better performance in the case of time-varying traffic pat-terns and heavy traffic conditions, Interval Tupe-2 Fuzzy algorithm reduced aver-age vehicle delay 13,2 % better than Fixed Timer and 1,6 % than Type 1 Fuzzy algorithm. But Interval Type 2 Fuzzy computation time is more complex than both Fixed Timer and Type 1 Fuzzy algorithm, so Interval Type 2 Fuzzy system takes 3.6 times slower than Fixed Timer and 1.8 slower than Type 1 Fuzzy algo-rithm. In application, Interval Type 2 Fuzzy algorithm needs 17888 units of mem-ory, while Fixed Timer only needs 4840 unit memory and Type 1 Fuzzy algorithm just needs 13032 units memory.