: Christian Rogsch, Andreas Schadschneider, Wolfram W.F. Klingsch, Michael Schreckenberg
: Wolfram W. F. Klingsch, Christian Rogsch, Andreas Schadschneider, Michael Schreckenberg
: Pedestrian and Evacuation Dynamics 2008
: Springer-Verlag
: 9783642045042
: 1
: CHF 190.00
:
: Sonstiges
: English
: 833
: Wasserzeichen
: PC/MAC/eReader/Tablet
: PDF
The international conference on"Pedestrian and Evacuation Dynamics", held on February 27-29, 2008 at Wuppertal University in Germany, was the fourth in this series after successful meetings in Duisburg (2001), Greenwich (2003) and Vienna (2005). The conference was aimed at improving the scientific exchange between scientists, experts and practitioners of various fields of pedestrian and evacuation dynamics and featured: the analysis of evacuation processes and pedestrian motion, modeling of pedestrian dynamics in various situations, experiments on pedestrian dynamics, human behavior research, regulatory action. All these topics are included in this book to give a broad and state-of-the-art overview of pedestrian and evacuation dynamics.
Acronymns238
Acronymns238
Acronymns238
533238
238
238
533238
Workflow with FlowTech534
Evacuation Simulation Example: WTC1536
Future Work536
536
536
536536
Pedestrian Movement538
Human Behavior538
EvaTech Model Validation539
Future Work540
References540
Large Scale Microscopic Evacuation Simulation542
Introduction542
Simulation Framework543
Results545
Conclusions546
References547
Numerical Optimisation Techniques Applied to Evacuation Analysis549
Introduction549
The Methodology550
Demonstration Problem551
The Solution552
The Design Variables552
Results and Discussion553
Concluding Comments554
Acknowledgements554
References554
A Multi-Method Approach to the Interpretation of Pedestrian Spatio-Temporal Behaviour556
Introduction556
Methodology557
Heuristic Phase558
Initial Results559
Example Results Based on Motion Data559
Conclusion561
References561
The Microscopic Model and the Panicking Ball-Bearing562
Introduction562
Panic563
Panic in Microscopic Models563
Microscopic Human Factors564
Microscopic Human Factors in the Floor Field Model565
Conclusion567
References568
Design of Decision Rules for Crowd Controlling Using Macroscopic Pedestrian Flow Simulation569
Introduction569
Control Concept570
Macroscopic Simulation Model571
Measurement Error Characteristics572
Design of Decision Rules573
Conclusion574
References574
3-Tier Architecture for Pedestrian Agent in Crowd Simulation576
Introduction576
How the Issue Raised577
Conflicts in Path Planning577
Realistic Movement578
Long-Distance Pathfinding578
Structure of the Architecture579
Event Flow Control Tier579
Navigation Tier580
Pedestrian Dynamics Tier582
Computer Experiments583
Finger Effect583
Edge Effect583
Case Study with583
Case Study with583
584583
Conclusions584
References585
Optimising Vessel Layout Using Human Factors Simulation587
Introduction587
Methodology for Assessing Human Factors Performance588
The Components of the Human Performance Metric588
Evaluation Scenarios589
Functional Groups589
Performance Measures589
Defining the Human Performance Metric589
Demonstration Application of the HPM590
The Geometry590
The Scenarios590
The Simulation Software591
Results and Analysis591
Concluding Comments593
References593