PEDESTRIAN FLOW MANAGEMENT MODEL FOR A CONTROLLED PEDESTRIAN CROSSING

A mathematical model for pedestrian flow control at a controlled pedestrian crossing is presented. This model is based on a set of fuzzy logic rules to minimize the likelihood of pedestrian collisions, improve road safety at pedestrian crossings, and reduce delays for vehicles traveling in front of the controlled pedestrian crossing. The calculated portion of pedestrian flow control signals based on fuzzy inference is presented. The characteristics of fuzzy inference rules are determined. A visualization of the fuzzy inference surface for pedestrian flow control is presented.