JUCS - Journal of Universal Computer Science 14(14): 2359-2380, doi: 10.3217/jucs-014-14-2359
Anti-Crisis Management of City Traffic Using Agent-Based Approach
expand article infoJarosław Koźlak‡, Grzegorz Dobrowolski§, Marek Kisiel-Dorohinicki§, Edward Nawarecki§
‡ AGH University of Science and Technology, Kraków, Poland§ AGH University of Science and Technology, Krakow, Poland

Corresponding author: Jarosław Koźlak ( kozlak@agh.edu.pl )

© Jarosław Koźlak, Grzegorz Dobrowolski, Marek Kisiel-Dorohinicki, Edward Nawarecki.
This article is freely available under the J.UCS Open Content License.
Citation: Koźlak J, Dobrowolski G, Kisiel-Dorohinicki M, Nawarecki E (2008) Anti-Crisis Management of City Traffic Using Agent-Based Approach. JUCS - Journal of Universal Computer Science 14(14): 2359-2380. https://doi.org/10.3217/jucs-014-14-2359
Open Access
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.
Keywords
multi-agent systems, city traffic modelling, traffic ligh optimization