Enhanced variable bandwidth progression optimisation model in arterial traffic signal control

Bandwidth progression optimisation is a widely used approach for traffic signal coordination along the arterial streets. In this study, a new mixed integer variable bandwidth optimisation model is proposed. In this way, arterial traffic signals are set based on fully acceptable and unacceptable thresholds for each arterial link-specific bandwidth and green split which are specified by traffic engineer. On the basis of these parameters, a fuzzy membership function is defined for each bandwidth as well as each green split. Then, the proposed bandwidth optimisation model is developed by Bellman–Zade principles of fuzzy decision making. In this model, green splits, junctions’ offsets, cycle length, and left turn phase sequences pattern are simultaneously optimised. By this method, the traffic engineer can balance the arterial green band and opposite movements green splits. The efficiency of the proposed method has been evaluated by several measures of effectiveness compared with classic variable bandwidth and TRANSYT13 software.