Actuated traffic lights with Boolean level controller logic can always seem malnourished of severely constrained logic. It seems the traffic lights in London always go off unexpectedly and very haphazard. I feel if they employed more hybridized approaches towards congestion and traffic control would be more effective. They could centrally control the traffic boards across the city but apply more significant real world situations. An off and on service has very limited service and an increased risk of accidents. Even the aspect of controlling traffic held up or pedestrians waiting to cross can be modified. Fuzzy Logic is all about the Fuzzy constraints of approximated reasoning being still between the limit bounds of 0 and 1 only relative constraints can be better controlled over a full specified spectrum of natural language domain. Smooth flow of traffic resulting in less frustrations can be controlled. Looking at times of day and variations can be applied. Classical reasoning of rigid constraints over multivariate changes are severely limited. I think in a city where roads are small and population growing as well as with multimodal means of transport it is only sensible, feasible, and yet workable to apply more intelligent methods in the works where interconnected traffic flows can be changed and modified based on patterns of usage and potential delays as well as more dynamic flows from specified natural language.
