Preliminary Results of a Multi-Agent Traffic Simulation for Berlin

Abstract

This paper provides an introduction to multi-agent traffic simulation. Metropolitan regions can consist of several million inhabitants, implying the simulation of several million travelers, which represents a considerable computational challenge. We reports on our recent case study of a real-world Berlin scenario. The paper explains computational techniques necessary to achieve results. It turns out that the difficulties there, because of data availability and because of the special situation of Berlin after the re-unification, are considerably larger than in previous scenarios that we have treated.

Can you simulate traffic psychology? An analysis

“…The most advanced frameworks (in terms of behavior aspects) are without a doubt SUMO (Krajzewicz 2010) and MATSim (Beuck et al 2008). In both frameworks, simulated drivers autonomously determine routes, determine strategies to avoid congested road sections and-in the case of MATSim-decide on when to use public transportation instead of vehicles.…”

“…From the analyzed works, we were not able to determine a framework which is able to completely comprehend the psychological understanding of human driving behavior. We identified two frameworks, namely SUMO and MATSim (Beuck et al 2008) that accounted for more than one characteristic of human driving behavior. Both frameworks account for the hierarchical arrangement of different behavior levels and provide fairly comprehensive implementations for the lower layers.…”

“…In fact, there are some approaches that use conceptualizations of driver behavior for traffic simulations (cf. Ehlert and Rothkrantz 2001, Krajzewicz 2010, Fellendorf and Vortisch 2010, Sykes 2010, Beuck et al 2008. In most cases, an agent-based model is used as a foundation.…”

“…The second framework that falls under the umbrella of multi-behavior frameworks is MATSim (Beuck et al 2008). MATSim supports large-scale agent-based transport simulations and consists of several modules which can be use either in combination or isolated.…”

An Overview of Agent-Based Models for Transport Simulation and Analysis

“…Realistic flow-speed relationships during congested situations -Single type of agents simulate traffic movement from the physical perspective[66]. e mobility of vehicle agents in traffic flow simulation usually involves LC, CF, collision avoidance actions, etc.…”