Tutorial on agent-based modeling and simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Evacuation route planning: scalable heuristics
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Capacity constrained routing algorithms for evacuation planning: a summary of results
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
Agent-based discrete-event hybrid space modeling approach for transportation evacuation simulation
Proceedings of the Winter Simulation Conference
An agent based model for evacuation traffic management
Proceedings of the Winter Simulation Conference
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In this paper, we present an agent-based model for hurricane evacuation which captures the interactions among evacuees during the evacuation process. Both normal and greedy household agents are considered. The normal agents simply follow the shortest route toward their destinations regardless of the congestion on each route segment. The greedy agents on the other hand make choices between the shortest route and the least congested route according to a certain probabilistic rule, taking into account the evolving network conditions. In the experiments, we simulate different scenarios on a test network and present the results and analysis. The simulation results indicate that greedy agents can sometimes reduce the individual evacuation times by detouring and avoiding congestions, but the greedy behavior makes the whole evacuation inefficient.