FREEWAY TRAFFIC CONTROL USING FUZZY-LOGIC CONTROLLERS

A major cause of freeway congestion before the traffic density becomes critical is the shock wave due to the speed differences between conse cutive vehicles. Such disturbance can be reduced if we can impose homo geneous speed control on the vehicles. In this paper, a two-level mode l-free control scheme using neural-network-based fuzzy logic controlle rs is proposed which regulates the speed of the freeway through speed advisory boards. Using information from both measurement data and expe rt knowledge (e.g., environmental information and psychological factor s), it is expected that this controller will outperform the convention al ones.