论文信息 - Emergency logistics using graph theory and abstraction hierarchy

Emergency logistics using graph theory and abstraction hierarchy

An emergency logistics was modeled and optimized using abstraction hierarchy and graph theory. A case study for the emergency evacuation in a local underground multi-storey train station demonstrated the application of the method. The objectives of crowd control in an emergency evacuation were mapped using the abstraction hierarchy which modeled the means-ends relationship between the system and its components. The means to achieving the goals were represented in the form of a graph which was solved using graph theory algorithms. One solution space that satisfied the selected goal was obtained.

F. Zhou | J. Jiao | A. Tan

[1] Jiuh-Biing Sheu,et al. Challenges of emergency logistics management , 2007 .

[2] Craig A. Knoblock. Learning Abstraction Hierarchies for Problem Solving , 1990, AAAI.

[3] K. J. Vicente,et al. Cognitive Work Analysis: Toward Safe, Productive, and Healthy Computer-Based Work , 1999 .

[4] C. Vaught,et al. Judgment and decision making under stress: an overview for emergency managers , 2003 .

[5] G. Loewenstein,et al. Animal Spirits: Affective and Deliberative Processes in Economic Behavior , 2004 .

[6] Kincho H. Law,et al. Human and social behavior in computational modeling and analysis of egress , 2006 .

[7] T. Vicsek,et al. Simulation of pedestrian crowds in normal and evacuation situations , 2002 .

[8] Dirk Helbing,et al. Simulating dynamical features of escape panic , 2000, Nature.

[9] Jens Rasmussen,et al. Cognitive Systems Engineering , 2022 .

[10] Edsger W. Dijkstra,et al. A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[11] Christopher D. Wickens,et al. An introduction to human factors engineering , 1997 .

[12] M. Lystad,et al. Mental health response to mass emergencies : theory and practice , 1988 .

[13] Mei-Po Kwan,et al. Emergency response after 9/11: the potential of real-time 3D GIS for quick emergency response in micro-spatial environments , 2005, Comput. Environ. Urban Syst..

[14] D. R. Fulkerson,et al. Maximal Flow Through a Network , 1956 .