Simulation of Fuzzy Logic Models to Improve Performance of Isolated Intersection involving Traffic Behaviour
Moch Duddy Studyana, Ade Sjafruddin, Iwan P. Kusumantoro, Yudi Soeharyadi
Department of Civil Engineering: Faculty of Civil and Evironmental Engineering. Bandung Institute of Technology
study_lembur[at]yahoo.co.id
Abstract
This research developed a fixed time isolated intersection signal system using Fuzzy Logic model, starting from conventional method using Indonesia Highway Capacity Manual 1997 adopted from American Highway Capacity Manual version 2000 and 2010. Fuzzy Logic models provide maximum efficiency and performance in setting traffic lights when compared to conventional methods. Fuzzy Logic model analysis process based on expert system involved numeric and linguistic variables, whereas in conventional method only used numeric variables. The optimization of signal intersection is obtained through a series of combinations of variable analysis of membership function calculation in fuzzy inference and fuzzy rule base processes. Surveys were taken by several samples of intersection in Bandung during April - May 2017, the result of simulation analysis showed that Fuzzy Logic model resulted in an average of green time extension on each approach of 55 % from the existing condition. Simulation is done with rule based control and cycle time at the intersection , the Center of Average (COA) value is obtained as a basis for measuring performance around 20 to 90. Finally there is an increase of 55% in intersection performance with the decreasing number of queues of vehicles, and raising the capacity of vehicles passing through the intersection. It is expected that Fuzzy Logic model can contribute and provide alternative solution at isolated signal intersection in the future.
Keywords: Fuzzy Logic, Isolated Intersection, Center of Average.
Topic: Architecture, Urban and Regional Planning, and Civil Engineering