A Pheromone-Based Utility Model for Collaborative Foraging
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Multi-Agent Simulation of Collaborative Strategies in a Supply Chain
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Towards Truly Agent-Based Traffic and Mobility Simulations
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Smooth traffic flow with a cooperative car navigation system
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A Driver Modeling Methodology Using Hypothetical Reasoning for Multiagent Traffic Simulation
Agent Computing and Multi-Agent Systems
Emergent service provisioning and demand estimation through self-organizing agent communities
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
A market-inspired approach to reservation-based urban road traffic management
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Agent modeling with individual human behaviors
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Modeling human behavior for virtual training systems
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Augmented experiment: participatory design with multiagent simulation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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Multiagent-based simulations are a key part of several research fields. Multiagent-based simulations yield multiagent societies that well reproduce human societies, and so are seen as an excellent tool for analyzing the real world. A multiagent-based simulation allows crowd behavior to emerge through interactions among agents where each agent is affected by the emerging crowd behavior. The interaction between microscopic and macroscopic behaviors has long been considered an important issue, termed the "micro-macro problem", in the field of sociology, but research on the issue is still premature in the engineering domain. We are focusing on citywide traffic as a target problem and are attempting to realize mega-scale multiagent-based traffic simulations. While macro-level simulations are popular in the traffic domain, it has been recognized that micro-level analysis is also beneficial. However, there is no software platform that can realize analyses based on both micro and macro viewpoints due to implementation difficulties. In this paper, we propose a traffic simulation platform that can execute citywide traffic simulations that include driving behavior models. Our simulation platform enables the introduction of individual behavior models while still retaining scalability.