Matisse: A Large-Scale Multi-Agent System for Simulating Traffic Safety Scenarios - Digital Signal Processing for In-Vehicle Systems and Safety - page 293

Chapter 22
Matisse: A Large ‐ Scale Multi ‐ Agent System
for Simulating Traffic Safety Scenarios

Rym Zalila-Wenkstern, Travis L. Steel, Ovidiu Daescu,
John H.L. Hansen, and Pinar Boyraz

Abstract In this study, we discuss the high level architecture of MATISSE, a
large-scale multi-agent system for simulating traffic safety and congestion
scenarios. MATISSE includes three main components: the Agent-Environment
System (AES) creates simulation instances where the environment is modeled as
a graph, the Data Management System stores and processes the information col-
lected from the AES, and the Visualization Framework provides 2D and 3D virtual
representations of simulated entities.

Keywords Multi-agent systems • Simulation • Safety • Traffic management

22.1 Introduction

The root causes of traffic congestion have long been understood, and several strategies
have been defined to address this problem [Dot07]. Transportation technologies
known as Intelligent Transportation Systems (ITS) have been considered as possible
solutions [ 1 ]. In this paper, we discuss Soteria, 1 a multilayered, integrated traffic
super-infrastructure for safety enhancement and congestion reduction, andMATISSE,
a tailor-made, large-scale multi-agent-based simulation system designed to support
this infrastructure.

1

In Greek mythology, Soteria is the spirit of safety, preservation, and deliverance from harm.

R. Zalila-Wenkstern ( * ) • T.L. Steel • O. Daescu • P. Boyraz
University of Texas at Dallas, Richardson, TX, USA
e-mail: [e-mail] ; [e-mail] ; [e-mail] ; boyraz.
[e-mail]
J.H.L. Hansen
Center for Robust Speech Systems (CRSS), Department of Electrical Engineering
The University of Texas at Dallas, Richardson, TX 75080-3021, USA
e-mail: [e-mail]