Agent-Based Simulation Model for Real-Time Traffic Analyses

Abstract

Densely populated areas usually have problems with commuting, especially during morning rush hours. This paper presents an agent-based simulation model for real-time traffic analyses. The built simulation model is representing the part of Belgrade during morning rush hours with major traffic participants involved. The model is used to conduct simulation experiments and based on results, improvement measures are suggested.