Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Multi agent simulation of unorganized traffic
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 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
Iterative route planning for large-scale modular transportation simulations
Future Generation Computer Systems - Special issue: Geocomputation
A Platform for Massive Agent-Based Simulation and Its Evaluation
Massively Multi-Agent Technology
An architecture for modular distributed simulation with agent-based models
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Learning From Humans: Agent Modeling With Individual Human Behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Multiagent-based simulations are regarded as a useful technology for analyzing complex social systems; for example, traffic in a city. Traffic in a city has various aspects such as route planning on the road network and driving operations on a certain road. Both types of human behavior are being studied separately by specialists in their respective domains. We believe that traffic simulation platforms should integrate the various paradigms underlying agent decision making and the target environment. We focus on urban traffic as the target problem and attempt to realize a multiagent simulation platform based on the multi-model approach. While traffic flow simulations using simple agents are popular in the traffic domain, it has been recognized that driving behavior simulations with sophisticated agents are also beneficial. However, there is no software platform that can integrate traffic simulators dealing with different aspects of urban traffic. In this paper, we propose a traffic simulation platform that can execute citywide traffic simulations that take account of the aspects of route selection on a road network and driving behavior on individual roads. The proposed simulation platform enables the multiple aspects of city traffic to be reproduced while still retaining scalability.