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Page 1 of 14Majalah Ilmiah UNIKOM
Vol.8, No. 2
203
H a l a m a n
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.
Index Terms –
Phase Module, Interval Type 2 Fuzzy System, Karnik-Mendel algorithms
bidang
REKAYASA
INTELLIGENT TRAFFIC LIGHT CONTROL BASED ON INTERVAL TYPE 2 FUZZY SYSTEM
MUHAMMAD ARIA
Department of Electrical Engineering
Engineering and Computer Science Faculty
Universitas Komputer Indonesia
INTRODUCTION
In the real world, especially in metropoli-
tan areas, there are many intersections
and each intersection is located close to
its neighborhoods. There are many con-
ventional methods for traffic signal control
but sometimes they fail to deal with com-
plex intersections, time-varying traffic
conditions efficiently. Various strategy
based on fuzzy logic system have been
studied to control the intersection group
[1] - [6]. This paper explores the use of
interval type 2 TSK Fuzzy system (T2TSK),
which is well known for its powerful in han-
dling an uncertainties [7].
The system allows communications with
neighboring controllers and manages
phase sequences and phase lengths adap-
tively according to traffic density, waiting
time
of
vehicles
and
congestion.