Disaster and evacuation planning crucially depend on good routing strategies. This article compares two different routing strategies in a multi-agent simulation of a large real world evacuation scenario. The first approach approximates a Nash equilibrium where every evacuee adopts an individually optimal routing strategy regardless of what this solution imposes on others. The second approach approximately minimizes the total travel time in the system, which requires to enforce cooperative behavior of the evacuees. Both approaches are analyzed in terms of the global evacuation dynamics and on a detailed geographic level
Evacuating a large population from an at-risk area has been the subject of extensive research over t...
The increasing concentration of human populations in modern urbanised societies has aggravated the f...
AbstractThis paper proposes a non-anticipative, adaptive, decentralized strategy for managing evacua...
We heuristically solve an evacuation problem with limited capacity shelters. An evolutionary learnin...
AbstractThis paper proposes a non-anticipative, adaptive, decentralized strategy for managing evacua...
© 2018 Elsevier B.V. In a complex built environment, the situation changes rapidly during an emergen...
© 2018 Elsevier B.V. In a complex built environment, the situation changes rapidly during an emergen...
Evacuation, the process of moving people out of potentially dangerous areas, is a key response to ma...
Multi-agent simulation has increasingly been used for transportation simulation in recent years. Wit...
Evacuating the population during crises to safe zones via optimal paths is vital. The evacuation pla...
In a complex built environment, the situation changes rapidly during an emergency event. Typically, ...
Evacuating a large population from an at-risk area has been the subject of extensive research over t...
Evacuating a large population from an at-risk area has been the subject of extensive research over t...
State-of-the-art emergency navigation approaches are designed to evacuate civilians during a disaste...
Abstract An evacuation plan helps people move away from an area or a building. To assist rapid evacu...
Evacuating a large population from an at-risk area has been the subject of extensive research over t...
The increasing concentration of human populations in modern urbanised societies has aggravated the f...
AbstractThis paper proposes a non-anticipative, adaptive, decentralized strategy for managing evacua...
We heuristically solve an evacuation problem with limited capacity shelters. An evolutionary learnin...
AbstractThis paper proposes a non-anticipative, adaptive, decentralized strategy for managing evacua...
© 2018 Elsevier B.V. In a complex built environment, the situation changes rapidly during an emergen...
© 2018 Elsevier B.V. In a complex built environment, the situation changes rapidly during an emergen...
Evacuation, the process of moving people out of potentially dangerous areas, is a key response to ma...
Multi-agent simulation has increasingly been used for transportation simulation in recent years. Wit...
Evacuating the population during crises to safe zones via optimal paths is vital. The evacuation pla...
In a complex built environment, the situation changes rapidly during an emergency event. Typically, ...
Evacuating a large population from an at-risk area has been the subject of extensive research over t...
Evacuating a large population from an at-risk area has been the subject of extensive research over t...
State-of-the-art emergency navigation approaches are designed to evacuate civilians during a disaste...
Abstract An evacuation plan helps people move away from an area or a building. To assist rapid evacu...
Evacuating a large population from an at-risk area has been the subject of extensive research over t...
The increasing concentration of human populations in modern urbanised societies has aggravated the f...
AbstractThis paper proposes a non-anticipative, adaptive, decentralized strategy for managing evacua...