Many controllers have applied the Adaptive Neural-Fuzzy Inference System (ANFIS) concept for optimizing the controller performance. However, there are less traffic signal controllers developed using the ANFIS concept. ANFIS traffic signal controller with its fuzzy rule base and its ability to learn from a set of sample data could improve the performance of Existing traffic signal controlling sy...

—Due to that the existing traffic facilities can hardly be extended, developing traffic signal control methods is the most important way to improve the traffic efficiency of modern roundabouts. This paper proposes a novel traffic signal controller with two fuzzy layers for signalizing the roundabout. The outer layer of the controller computes urgency degrees of all the phase subsets and then ac...

1 Dynamic Traffic Management In urban areas, the infrastructure often represents a bottleneck due to traffic demand exceeding available road capacities. Here, dynamic traffic management is necessary in order to provide strategies for efficient control, e.g. by applying time-dependent signal plans. The traffic load typically varies strongly throughout the day. Therefore an adaptation of the traf...

T raffic signal equipment and signaltimin.g improvements have been popular a~plications of oil overcharge funds in many states. Some of the states known to have provided restitution to those overcharged by petroleum companies include California, Florida, Illinois, Maryland, Michigan, Missouri, New York, North Carolina, Pennsylvania, Virginia, and Wisconsin.’ When signal timings, signal hardware...