Calculation of the Change and Clearance Intervals of Traffic Signal by Fuzzy Logic System

Abstract

In this paper, a new procedure that calculate the change and clearance intervals of a trffic signal from a rule-based fuzzy logic system was developed. This procedure is based on the theory that driver decision making at signalized intersections is based on imprecise or fuzzy information. The system’s input variables consist of three primary variables and two secondary variables which reflect driver behavior as well as intersection traffic conditions and geometric layout. The primary variables contribute to the system’ s flexibility in that they are easily collected by sensors or detectors. Thus, the procedure provides dynamic change and clearance intervals, which improve the intersection throughput. Several scenarios were tested, and the resulting system indicates a simple but efficient way of determining the change and clearance intervals.