Abstract
This paper develops an iterative genetic fuzzy logic controller (GFLC) model to adaptively control the transit-preemption signal (TPS) along an arterial with consideration of the traffic flows from all approaches. Two transit-preemption strategies, green extension and red truncation, are incorporated with simultaneous, progressive, and alternative coordinated signal systems. Compared with the signal timing without TPS, the case study shows that the GFLC conditional TPS model can curtail the total person-delay by as high as 18.10% while the unconditional TPS model can only reduce 14.47% at most. This study also finds that the GFLC conditional TPS model performs better in light traffic than in heavy traffic.
