Distant Downstream Bottlenecks in Local Ramp Metering: Comparison of Fuzzy Self-Adaptive PID Controller and PI-ALINEA

摘要

Some traditional control algorithms such as ALINEA and PID have been widely applied for highway ramp metering control. However, in many practical cases, bottlenecks with smaller capacity than the merging area may exist further downstream for various reasons. This paper focuses on distant downstream bottlenecks with two suitable algorithms: (1) fuzzy self-adaptive PID controller; and (2) PI-ALINEA, which is a proportional-integral (PI) extension of ALINEA. In simulation studies, this paper uses the cell transmission model, which is a differential discrete form of the kinematics model. The two algorithms are fully compared under different distant downstream bottlenecks. As shown in the result, fuzzy self-adaptive PID controller has a better control effect than PI-ALINEA.