Traffic signal networks simulator using emotional algorithm with individuality

Abstract

Proposes a traffic signal system which optimizes the traffic flow by estimation of the driver's mind. The proposed traffic signal system applies the emotional algorithm to determine its motion. The emotional algorithm estimates the emotional value based on the emotional functions, which are defined on the emotional space. The emotional space consists of four factors, "HAPPY", "RELIEF", "AFRAID" and "ANGRY", and provides the emotional states of the system by the value on it. The emotional function imitates the state of driver's mind, and aims at the system not inflicting psychological stress on the driver. Moreover, the emotional function achieves different characteristics of performances' individuality. The individuality of traffic signals can optimize the arrangements of signals. This report proposes the principal architecture of the emotional algorithm. The numerical simulations show the effectiveness of the new emotional algorithm with individuality and show the optimized arrangements of traffic signals. The DEA simulator, of which parameters dynamically change by evaluating the congestion of a road, improves the architecture of traffic signals networks.