The FUSICO (Fuzzy Signal Control) research project was started in 1996 at the Helsinki University of Technology. The main goals of the project are theoretical analysis of fuzzy traffic signal control, generalized fuzzy rules using linguistic variables, validation of fuzzy control principles, calibration of membership functions, and development of a fuzzy adaptive signal controller. This thesis discusses 4 hypotheses for fuzzy traffic signal control: (1) generality of fuzzy control; (2) competitiveness of fuzzy control; (3) multilevelity, -dimensionality, and -objectiveness; and (4) realisticity in real traffic signal control. The control principles are modeled based on the actions of an experienced policeman represented by knowledge of an experienced signal control planner. According to the results the control parameters can be divided into 3 groups: traffic volume, capacity, and level of service parameters. The fuzzy control algorithm of isolated traffic signal control can be derived based on these parameters.
Abstract