ANFIS Traffic Signal Controller for an Isolated Intersection

Sahar Araghi, Abbas Khosravi, Douglas Creighton

2014

Abstract

Traffic signal controlling is one of the solutions to reduce the traffic congestion in cities. To set appropriate green times for traffic signal lights, we have applied Adaptive Neuro-Fuzzy Inference System (ANFIS) method in traffic signal controllers. ANFIS traffic signal controller is used for controlling traffic congestion of a single intersection with the purpose of minimizing travel delay time. The ANFIS traffic controller is an intelligent controller that learns to set an appropriate green time for each phase of traffic signal lights at the start of the phase and based on the traffic information. The controller uses genetic algorithm to tune ANFIS parameters during learning time. The results of the experiments show higher performance of the ANFIS traffic signal controller compared to three other traffic controllers that are developed as benchmarks. One of the benchmarks is GA-FLC (Araghi et al., 2014), next one is a fixed-FLC, and a fixed-time controller with three different values for green phase. Results show the higher performance of ANFIS controller.

Paper Citation

in Harvard Style

Araghi S., Khosravi A. and Creighton D. (2014). ANFIS Traffic Signal Controller for an Isolated Intersection . In Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014) ISBN 978-989-758-053-6, pages 175-180. DOI: 10.5220/0005135001750180

in Bibtex Style

@conference{fcta14,
author={Sahar Araghi and Abbas Khosravi and Douglas Creighton},
title={ANFIS Traffic Signal Controller for an Isolated Intersection},
booktitle={Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014)},
year={2014},
pages={175-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005135001750180},
isbn={978-989-758-053-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Fuzzy Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2014)
TI - ANFIS Traffic Signal Controller for an Isolated Intersection
SN - 978-989-758-053-6
AU - Araghi S.
AU - Khosravi A.
AU - Creighton D.
PY - 2014
SP - 175
EP - 180
DO - 10.5220/0005135001750180