Adaptive traffic signal control using fuzzy logic

Presents a distributed approach to traffic signal control, where the signal timing parameters are a given intersection are adjusted as functions of the local traffic condition and of the signal timing parameters at adjacent intersections. The signal timing at an intersection is defined by three parameters: cycle time, phase split, and offset. The author uses fuzzy decision rules to adjust these three parameters based only on local information. The amount of change in the timing parameters during each cycle is limited to a small fraction of the current parameters to ensure smooth transition. He shows the effectiveness of this method through simulation of the traffic flow in a network of controlled intersections