MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi agent simulation of unorganized traffic
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Multiple Adaptive Agents for Tactical Driving
Applied Intelligence
Modeling Traffic Flow at an Urban Unsignalized Intersection
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
A Distributed Approach for Coordination of Traffic Signal Agents
Autonomous Agents and Multi-Agent Systems
Non-normative Behaviour in Multi-agent System: Some Experiments in Traffic Simulation
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Behavioral self-control of agent-based virtual pedestrians
ISSADS'05 Proceedings of the 5th international conference on Advanced Distributed Systems
A review of the applications of agent technology in traffic and transportation systems
IEEE Transactions on Intelligent Transportation Systems
Virtual chaotic traffic simulation
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Holonification of a network of agents based on graph theory
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
Genetic optimization of a vehicle fuzzy decision system for intersections
Expert Systems with Applications: An International Journal
Formalizing the construction of populations in multi-agent simulations
Engineering Applications of Artificial Intelligence
One-way urban traffic reconfiguration using a multi-objective harmony search approach
Expert Systems with Applications: An International Journal
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Multi-agent systems allow the simulation of complex phenomena that cannot easily be described analytically. Multi-agent approaches are often based on coordinating agents whose actions and interactions are related to the emergence of the phenomenon to be simulated. In this article, we focus on road traffic simulation, specifically the design of a road traffic simulation tool able to deal realistically with road junctions. We propose a multi-agent behavioral model based on (i) the opportunistic individual behaviors that describe the norm violation and (ii) the anticipatory individual abilities of simulated drivers that allow critical situations to be detected. Our proposition has been validated for different traffic scenarios. Specifically, we simulated the traffic in a real intersection and then compared the simulated traffic flow with the real flow to highlight the relevance of our approach.