This title appears in the Scientific Report :
2018
Please use the identifier:
http://dx.doi.org/10.1007/978-3-319-99813-8_17 in citations.
Please use the identifier: http://hdl.handle.net/2128/19742 in citations.
The automatic generation of an efficient floor field for CA simulations
The automatic generation of an efficient floor field for CA simulations
The Hermes project [1] demonstrated the usefulness of on site predictive simulations of probable evacuation scenarios for security personnel. However, the hardware needed was prohibitively expensive [2]. For use in crowd management, the software has to run on available computers. The CA methods, whi...
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Personal Name(s): | Chraibi, Mohcine (Corresponding author) |
---|---|
Steffen, Bernhard | |
Contributing Institute: |
Jülich Supercomputing Center; JSC Zivile Sicherheitsforschung; IAS-7 |
Published in: |
Cellular Automata |
Imprint: |
Cham
Springer International Publishing
2018
|
Physical Description: |
185 - 195 |
ISBN: |
978-3-319-98654-8 (electronic) 978-3-319-98653-1 (print) |
DOI: |
10.1007/978-3-319-99813-8_17 |
Conference: | International conference on cellular automata for research and industry, Como (Italy), 2018-09-17 - 2018-09-21 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Computational Science and Mathematical Methods |
Series Title: |
Lecture Notes in Computer Science
11088 |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/19742 in citations.
The Hermes project [1] demonstrated the usefulness of on site predictive simulations of probable evacuation scenarios for security personnel. However, the hardware needed was prohibitively expensive [2]. For use in crowd management, the software has to run on available computers. The CA methods, which are fast enough, have well known problems with treating corners and turns. The present paper shows how a standard CA method can be modified to produce a realistic movement of people around bends and obstacles by changing the standard floor field. This can be done adaptively allowing for the momentary situation using simple predictions for the immediate future. The approach has one or two tuning parameter that have an obvious meaning and can therefore be set correctly by people not familiar with the inner process of a CA simulation. With this, a high end laptop can simulate more than 100 000 persons faster than real time, which should be enough for most occasions. It is intended to integrate the method into the tool JuPedSim [23]. |