Implementation of Background Subtraction and Fuzzy Logic Control for Green-Timing Optimization on 3-Junction Traffic Light
DOI:
https://doi.org/10.12962/j25796216.v3.i1.61Abstrak
This study presents a green-timing optimization simulation on a 3-lane traffic light to reduce the density of the vehicle queue (density) in each lane. The method used in green-timing optimization is a combination of background subtraction and fuzzy logic control. Background subtraction functions as density extractor and fuzzy logic control as the green-timing controller itself. Green-timing optimization simulations in this study show a decrease in waiting time in each cycle of timing and a decrease in traffic-density of 44% -45% compared to a fixed-time timing system.Keywords: background substraction, fuzzy, green-timing, logic control, traffic light.Referensi
Schrank, D., Eisele, B., & Lomax, T. 2015. urban mobility report: Powered by inrix traffic data. Technical report
UU no. 22/2009 tentang Lalu lintas dan Angkutan Jalan.
Parthasarathi, V., Surya, M., Akshay, B., Murali, K., Siva & Vasudevan, S. K. 2015. Smart Control of Trafc Signal System using Image Processing, Indian Journal of Science and Technology
Kulkarni, G.H. & Waingankar, P.G. 2007. Fuzzy Logic Based Traffic Light Controller, Second International Conference on Industrial and Information Systems
Adam, A. Wahab, Yaakop, M., Salam, A. A., & Zaharudin, Z. 2014. Adaptive Fuzzy Logic Traffic Light Management System, International Conference on Engineering Technology and Technopreneuship (ICE2T)
Mehan, S. 2011. Introduction of Trafc Light Controller with Fuzzy Control System, IJECT
Yulianto, B. 2003. Application of fuzzy logic to traffic signal control under mixed traffic conditions, Transport Operations Research Group, University of Newcastle upon Tyne
Soh, A. C., Rhung, L. G. & Sarkan, H. M. 2010. MATLAB Simulation of fuzzy traffic controller for multilane isolated intersection. Int J Comput Sci Eng (IJCSE)
