Dynamic signal control is a complex phenomenon that includes both increasing intersection capacity and decreasing delays at the same time. New methods such as fuzzy logic and artificial intelligence are recommended for use in dynamic signal control. In this study, a Fuzzy Logic Multi-phased Signal Control (FLMuSiC) model for isolated signalised intersections has been developed. This model comprises two systems, which are based on fuzzy logic. One of these systems arranges phase green times (duration) and the other phase sequences using traffic volumes. The developed FLMuSiC model has been compared with the traffic-actuated simulation and the aaSIDRA vehicle actuated models with respect to the average delays of vehicles. Comparison of models was performed using simulation methods. An isolated four-armed intersection is selected to compare the performances of the models. Three and four phased controlling situations with equal and different traffic volumes on approaches of intersections are considered in comparisons. Results of comparisons show that the performance of the FLMuSiC is better than both the traffic actuated simulation and the aaSIDRA models one, especially in the case of the higher variability of volumes. In addition, the FLMuSiC model is compared with earlier studies. Encouraged results are obtained. (C) 2005 Elsevier Ltd. All rights reserved.