Distributed control of multiple agents by emotional algorithm

This paper proposes a way of controlling the traffic signals in the urban area using the new emotional algorithm. We study the emotional algorithm which evaluates and decides the emotional status of artificial system with artificial emotional model. The emotional algorithm estimates the emotional value based on the emotional functions, which are defined on the emotional space. This paper adds the new function to evaluate the emotional statement. The individualities of each traffic signal enable the system to optimize the control of signals for smooth traffic flows. This report proposes the principal architecture of the emotional algorithm with above individuality and the traffic signal system simulator using them. The numerical simulations clarify the effectiveness of the new emotional algorithm with individuality and show the optimized control for each traffic signal.