Umgang mit komplexen Systemen - Umgang mit komplexen Systemen
Dr.-Ing. Gregor Lämmel - Mon, 05.12.2011
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Flucht vor dem Tsunami

Folientitel

1. Flucht vor dem Tsunami
2. Motivation of this work
3. The December 26, 2004 tsunami
4. Vorher-Nachherbild
5. Vorher-Nachherbild II
6. Tsunami aftermath imagery
7. Video
8. Map of affected areas
9. components of a tsunami
10. Workplace
11. Workplace II
12. Question
13. Statements
14. warning system
15. Summary
16. The scenario
17. Bild I
18. Bild II
19. Bild III
20. Bild IV
21. Bild V
22. Padang
23. Evacuation strategies
24. Characteristics of shortest path solution
25. shortest path solution
26. shortest path solution II
27. shortest path solution III
28. shortest path solution IV
29. shortest path solution V
30. shortest path solution VI
31. shortest path solution VII
32. shortest path solution VIII
33. shortest path solution IX
34. Result: shortest path solution
35. Summary: shortest path solution
36. Evacuation strategies II
37. Optimization
38. Evacuation strategies - Nash equilibrium
39. Characteristics of nash equilibrium
40. Simulation nash equilibrium
41. Iterative learning
42. Multi-agent simulation
43. Multi-destination problem
44. Routing problem
45. Routing problem II
46. Routing problem III
47. Routing problem IV
48. Routing problem V
49. Routing problem VI
50. Routing problem VII
51. Routing problem VIII
52. Routing problem IX
53. Routing problem X
54. Nash equilibrium
55. Iterative learning II
56. Simulation Results for the nash equilibrium
57. Simulation Results for the nash equilibrium II
58. Simulation Results for the nash equilibrium III
59. Simulation Results for the nash equilibrium IV
60. Simulation Results for the nash equilibrium V
61. Simulation Results for the nash equilibrium VI
62. Simulation Results for the nash equilibrium VII
63. Simulation Results for the nash equilibrium VIII
64. Simulation Results for the nash equilibrium IX
65. Summary: Nash equilibrium
66. The strategies
67. Evacuation path
68. Evacuation path II
69. Evacuation path III
70. Evacuation path IV
71. Evacuation path V
72. Evacuation path scenario 1
73. Evacuation path scenario 1 I
74. Evacuation path scenario 1 II
75. Evacuation path scenario 1 III
76. Evacuation path scenario 1 IV
77. Evacuation path scenario 1 V
78. Evacuation path scenario 1 VI
79. Evacuation path scenario 1 VII
80. Evacuation path scenario 1 VIII
81. Evacuation path scenario 1 IX
82. Evacuation path scenario 1 X
83. Evacuation path scenario 1 XI
84. Evacuation path scenario 1 XII
85. Summary: Evacuation path scenario 1
86. Evacuation path scenario 2
87. Evacuation path scenario 2 I
88. Evacuation path scenario 2 II
89. Evacuation path scenario 2 III
90. Evacuation path scenario 2 IV
91. Evacuation path scenario 2 V
92. Evacuation path scenario 2 VI
93. Evacuation path scenario 2 VII
94. Evacuation path scenario 2 VIII
95. Evacuation path scenario 2 IX
96. Evacuation path scenario 2 X
97. Evacuation path scenario 2 XI
98. Evacuation path scenario 2 XII
99. Summary: Evacuation path scenario 2
100. The risk reducing Nash equilibrium
101. Definition
102. Definition II
103. Definition III
104. Iterative learning III
105. Link
106. Link II
107. Iterative learning IV
108. Simulation results for the risk reducing
109. Simulation results for the risk reducing II
110. Simulation results for the risk reducing III
111. Simulation results for the risk reducing IV
112. Simulation results for the risk reducing V
113. Simulation results for the risk reducing VI
114. Simulation results for the risk reducing VII
115. Simulation results for the risk reducing VIII
116. Simulation results for the risk reducing IX
117. Comparing: NE and risk reducing NE
118. Summary: The risk reducing NE
119. Discussion
120. Application to the real world
121. Home location
122. Application to the real world II
123. Diverging evacuation flow
124. Application to the real world III
125. Conclusion
126. Conclusion II
127. Thank you

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