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==Abstract==
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A first-principles model for the simulation of pedestrian flows and crowd dynamics capable of computing the movement of millions of pedestrians in real time has been developed. The pedestrians are treated as `intelligent' particles subjected to a series of forces, such as: will forces (the desire to reach a place at a certain time), pedestrian collision avoidance forces, obstacle/wall avoidance forces; pedestrian contact forces, and obstacle/wall contact forces. In order to allow for general geometries a so-called background triangulation is used to carry all geographic information. At any given time the location of any given pedestrian is updated on this mesh. The code has been ported to shared and distributed memory parallel machines. The results obtained show that the stated aim of computing the movement of millions pedestrians in real time has been achieved. This is an important milestone, as it enables faster-than-real-time simulations of large crowds (stadiums, airports, train and bus stations, concerts) as well as evacuation simulations for whole cities. This may enable the use of validated, micro-model-based pedestrian simulation for design, operation and training within the context of large crowds.
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== Recording of the presentation ==
 
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| Recording of the presentation
 
 
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| Location: Technical University of Catalonia (UPC), Vertex Building.  
 
| Location: Technical University of Catalonia (UPC), Vertex Building.  
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| Date: 28 - 30 September 2015, Barcelona, Spain.
 
| Date: 28 - 30 September 2015, Barcelona, Spain.
 
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== General Information ==
 
== General Information ==
 
* Location: Technical University of Catalonia (UPC), Barcelona, Spain.
 
* Location: Technical University of Catalonia (UPC), Barcelona, Spain.
 
* Date: 28 - 30 September 2015
 
* Date: 28 - 30 September 2015
* Secretariat: [//www.cimne.com/ CIMNE] Centre Internacional de Metodes Numerics.
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* Secretariat: [//www.cimne.com/ International Center for Numerical Methods in Engineering (CIMNE)].
  
 
== External Links ==
 
== External Links ==
 
* [//congress.cimne.com/particles2015/frontal/default.asp Particles 2015] Official Website of the Conference.
 
* [//congress.cimne.com/particles2015/frontal/default.asp Particles 2015] Official Website of the Conference.
 
* [//www.cimnemultimediachannel.com/ CIMNE Multimedia Channel]
 
* [//www.cimnemultimediachannel.com/ CIMNE Multimedia Channel]

Latest revision as of 12:53, 19 July 2016

Abstract

A first-principles model for the simulation of pedestrian flows and crowd dynamics capable of computing the movement of millions of pedestrians in real time has been developed. The pedestrians are treated as `intelligent' particles subjected to a series of forces, such as: will forces (the desire to reach a place at a certain time), pedestrian collision avoidance forces, obstacle/wall avoidance forces; pedestrian contact forces, and obstacle/wall contact forces. In order to allow for general geometries a so-called background triangulation is used to carry all geographic information. At any given time the location of any given pedestrian is updated on this mesh. The code has been ported to shared and distributed memory parallel machines. The results obtained show that the stated aim of computing the movement of millions pedestrians in real time has been achieved. This is an important milestone, as it enables faster-than-real-time simulations of large crowds (stadiums, airports, train and bus stations, concerts) as well as evacuation simulations for whole cities. This may enable the use of validated, micro-model-based pedestrian simulation for design, operation and training within the context of large crowds.

Recording of the presentation

Location: Technical University of Catalonia (UPC), Vertex Building.
Date: 28 - 30 September 2015, Barcelona, Spain.

General Information

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