International Journal of Scientific and Research Publications

IJSRP, Volume 5, Issue 4, April 2015 Edition [ISSN 2250-3153]


Design and Simulation of Adaptive Traffic Light Controller Using Fuzzy Logic Control Sugeno Method
      Erwan Eko Prasetiyo, Oyas Wahyunggoro, Selo Sulistyo
Abstract: Traffic congestion is a critical issue which must be resolved. The concept of adaptive traffic lights controller needs to be developed to improve the traffic flow. This paper presents the design of an adaptive traffic light controller using fuzzy logic control Sugeno Method. This fuzzy logic control is used to determine the length of green time at an intersection. The purpose of this paper is to design an adaptive traffic light controller with three inputs, namely the number of queues, waiting time, and the traffic flow of vehicles. The design was applied in a simulation to observe the number of queues, waiting time, and the number of vehicles passing an intersection. The simulation results show that the traffic light using fuzzy logic control performs better than using fixed time control. The number of queues and waiting time are lower, and the number of departures is higher than using the fixed time controller for a traffic light.

Reference this Research Paper (copy & paste below code):

Erwan Eko Prasetiyo, Oyas Wahyunggoro, Selo Sulistyo (2018); Design and Simulation of Adaptive Traffic Light Controller Using Fuzzy Logic Control Sugeno Method; Int J Sci Res Publ 5(4) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0415.php?rp=P403920
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