Authors:
Youssef Inedjaren
1
;
Besma Zeddini
1
;
Mohamed Maachaoui
1
and
Jean-Pierre Barbot
2
Affiliations:
1
Laboratoire Quartz, COMUE Paris Seine, EISTI and France
;
2
Laboratoire Quartz, COMUE Paris Seine, ENSEA and France
Keyword(s):
Autonomous Vehicles, Agent, Multi-agent System, Micro-simulation, MATSim, Scoring, OTFVis (On The Fly Visualizer).
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
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
;
Mobile Agents
;
Multi-Agent Systems
;
Operational Research
;
Simulation
;
Software Engineering
;
Symbolic Systems
Abstract:
The development of new information and communication technologies is contributing to the emergence of a new generation of real-time services in various fields of application. In the area of intelligent transport systems, these new services also include connected vehicles that enable vehicles to collect and disseminate information, safety alerts and make driving smarter and more environmentally friendly. More and more, they concern power-assisted or fully autonomous vehicles. In this paper we propose an architecture of agents and we project it on a multi-agent transport simulator (MATSim). In order to improve the performance of the DriverAgent in the simulation an alternative approach to score the DriverAgent plans is proposed. The results show that the proposed scoring function is able to ensure that agents improve their plans at each iteration performing on the same if not better level than the current scoring function.