Authors:
Philippe Mathieu
and
Antoine Nongaillard
Affiliation:
Univ. Lille, France
Keyword(s):
Simulation, Multiagent Systems, Complex Systems, Collective Strategies, Trafic Management Systems.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bioinformatics
;
Biomedical Engineering
;
Distributed and Mobile Software Systems
;
Distributed Problem Solving
;
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:
With the advent of autonomous vehicles, self-management of taxis fleet becomes an important issue for the
automotive industry. Designing strategies for taxis turns out to be a difficult task due to a large number of
parameters and metrics involved. Performance evaluation of these strategies is also a complex problem since
effectiveness in some configurations may become inefficiency in others. After formalizing this problem we
propose several strategies based on swarm-computing techniques. Finally, we show that metric unification is
necessary and that only a multi-criterion approach illustrated by an economic analysis allows a comparison.
We conclude with a description of the simulator implemented and some examples showing the measurements
made with the proposed strategies.