MASON: A Multiagent Simulation Environment
Simulation
An Agent-Oriented Approach for the Dynamic Vehicle Routing Problem
IWAISE '08 Proceedings of the 2008 International Workshop on Advanced Information Systems for Enterprises
The power of sequential single-item auctions for agent coordination
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Agents towards vehicle routing problems
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Roadmap-based motion planning in dynamic environments
IEEE Transactions on Robotics
A Decentralized Approach for Anticipatory Vehicle Routing Using Delegate Multiagent Systems
IEEE Transactions on Intelligent Transportation Systems
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Navigating multiple first responders to multiple destinations avoiding moving obstacles poses a set of challenges for navigation researchers. When first responders are performing their tasks, new data about the moving obstacles and new tasks might arrive, which create needs for re-planning of routes and re-allocation of tasks. To be able to do so, they need a path planner that is capable of processing large volumes of spatio-temporal data from different resources, and able to generate routes as quickly as possible. In this paper, we propose a multi-agent infrastructure for navigating multiple responders to multiple locations avoiding moving obstacles. To our knowledge, this type of navigation has not yet been addressed in the literature. We design and develop a set of software agents according to their roles in emergency response, which assists emergency actors in data collection, data processing, route generation, and task allocation. We also use an auction-based approach to allow the agent system to allocate different target locations to the responders. We apply our system to a real road network and show some preliminary results.