Anti-Crisis Management of City Traffic Using Agent-Based Approach.

Abstract

The paper presents a multi-agent system for modelling and optimising city traffic. Our attention is focused on the prevention of crisis situations and detection of anomalies. Analysed critical situations include traffic jams, whereas an anomaly is when there is a decrease in average vehicle velocity in the whole city or its part. The methods of crisis situation prevention are based on the choice and configuration of the appropriate algorithms of city light management or on modification of intersection and road network topologies.