Method of Assortment Control for Sector Boundary Traffic Signals Using Organic Computing

Abstract

The research focuses on developing anassortment control procedure for traffic signals at sector boundaries using organic computing principles. This study lies at the intersection of urban traffic signal control and artificial intelligence. The proposed procedure comprises various modules, including traffic flow monitoring, self-optimization, self-modification, evolutionary learning, self-assessment, and self-adaptation. The objective is to achieve efficient assortment between traffic signals at sector boundaries, thus preventing congestion and traffic blockages in the intersecting areas.