Simulation of traffic flow during emergency evacuations: a microcomputer based modeling system
WSC '93 Proceedings of the 25th conference on Winter simulation
Contraflow network reconfiguration for evacuation planning: a summary of results
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Crowd simulation for emergency response using BDI agent based on virtual reality
Proceedings of the 38th conference on Winter simulation
Evacuation route planning: scalable heuristics
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Agent-based modeling and simulation: desktop ABMS
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Contraflow Transportation Network Reconfiguration for Evacuation Route Planning
IEEE Transactions on Knowledge and Data Engineering
Study on Intelligence Computing Traffic Based on One Destination Evacuation
CINC '09 Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02
Agent-based modeling for household level hurricane evacuation
Winter Simulation Conference
From sensing to controlling: the state of the art in ubiquitous crowdsourcing
International Journal of Communication Networks and Distributed Systems
| Hi-index | 0.00 |
In this paper we build an agent based evacuation model and use it to test a novel traffic control strategy called throttling. The evacuee agents travel from a source to a destination taking the dynamic shortest time path (total travel time depends on the distance to destination and the congestion level). Throttling involves closing a road segment temporarily when its congestion level reaches an upper threshold and opening it when congestion level falls below a lower threshold. Experimentation was performed by comparing the total evacuation time obtained with throttling to a base case (non-throttling) using a small test network and the more realistic Sioux Falls network. We found that throttling improves the total evacuation time significantly. To further test the effectiveness of our control strategy we compared it to contraflow on the test network and found the results to be comparable.