Overview

Simulations are useful to test and develop ideas and thereof resulting strategies without much effort. Multiagent systems are a new field in computer science according to WOOLDRIDGE 2009, where "A multiagent system is one that consists of a number of agents, which interact with one another. Typically be exchanging messages through some computer network infrastructure. In the most general case, the agents in a multiagent system will be representing or acting on behalf of users or owners with very different goals and motivations. In order to successfully interact, these agents will thus require the ability to cooperate, coordinate, and negotiate with each other, in much the same way that we cooperate, coordinate, and negotiate with other people in our everyday lives." Simulations are based on the acting objects (the agents) which are equipped with a goal or plan and interact in an environment. In this environment agents cooperate, coordinate and negotiate with each other or with the environment and they try to reach their goals.

Streetworld is an agent-based simulation platform to test and develop strategies for the cooperative traffic management. For example how vehicles group themselves in order to coordinate and negotiate their path thru a green wave with traffic lights. But also other grouping behaviors are researched for testing their influence on the traffic flow of each single vehicle but as well as for groups and for the net distribution as a whole. The decentral perspective is the focus on the single vehicle and thereof resulting groups. It is assumed that trough grouping mechanisms the micro and macro behavior can be improved. Different group algorithms which are going to be implemented should show this in Streetworld.

Download

Download the latest Version.

Checkout

Checkout the svn-repository:

svn checkout svn://svn.code.sf.net/p/streetworld/code/trunk/streetworld