Authors:
Arman Noroozian
;
Koen V. Hindriks
and
Catholijn M. Jonker
Affiliation:
Delft University of Technology, Netherlands
Keyword(s):
Simulation, Heterogeneity, Mixed Traffic, Cognitive Driver Agent, Scalability.
Related
Ontology
Subjects/Areas/Topics:
Agent Platforms and Interoperability
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bioinformatics
;
Biomedical Engineering
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Multi-Agent Systems
;
Operational Research
;
Simulation
;
Software Engineering
;
Symbolic Systems
Abstract:
Every driver behaves differently in traffic. However, when it comes to micro-simulation of drivers with a high
level of detail no framework manages to model the complexities of various driving styles as well as scale
up to larger simulations. We propose a framework of micro-simulation combined with cognitive agents to
facilitate such simulation tasks. Our goal is to (i) model individual drivers, and (ii) use this framework for the
purpose of simulating realistic highway traffic with heterogeneous driving styles. The challenge is therefore to
create a framework that facilitates such complex modeling and supports large scale simulations. We evaluate
the framework from two perspectives. First, the ability to represent, model and simulate dissimilar drivers in
addition to study and compare emerging behavior. Second, the scalability of the framework. We report on our
experiences with the framework, outline several challenges and identify future areas for development.