Welcome to cromosim’s documentation!

A Python Library for microscopic Crowd Motion Simulation.

The aim of this open source project is to allow users to run simulations based on several models (cellular automata, microscopic simulations or using compartments), to test new configurations, and even to investigate the possibility to program its own model in complex geometry : do-it yourself !

This package proposes Python implementations of the numerical methods detailed in the following book:

MF2018

“Crowds in equations: an introduction to the microscopic modeling of crowds” by B. Maury (ENS Ulm & Univ. Paris-Saclay) and S. Faure (CNRS), World Scientific 2018, Advanced textbooks in mathematics.

This documentation concerns the Release 2.0 of cromosim. The old documentation corresponding to the Release 1.0 is available there: http://www.cromosim.fr/1.0

Main new features of the Release 2.0 of cromosim (mainly concerning microscopic crowd modeling):

  • addition of a Destination class allowing to use a more elaborate color code: a door can be represented by a red line, another by a yellow line, etc …

  • possibility of having several elements of the Domain class. It is for example possible to define a domain per floor.

  • possibility of having several possible destinations for people and chaining them

  • possibility of defining stairs, thanks to the Destination class

  • during the initialization of groups of people, their radius and speed of movement can be defined with probability laws (normal or uniform). They are also assigned an initial destination.

Unfortunately these big changes break the backward compatibility with Release 1.0 scripts, at least for microscopic crowd modeling.

This documentation is hosted on a server of the Mathematics Department of Orsay (Univ. Paris-Saclay, France).

Laboratoire de Mathématiques d'Orsay Université Paris-Saclay

Github repository

Download the source code and the examples here:

https://github.com/sylvain-faure/cromosim/

How to use cromosim ?

First you have to install cromosim, either by using pip

~$ pip install cromosim

or by manually installing the package

cromosim$ python setup.py install

Once cromosim is installed, you can verify that it is possible to import it into Python:

~$ python
Python 3.7.7 (default, Mar 10 2020, 15:43:33)
[Clang 11.0.0 (clang-1100.0.33.17)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import cromosim
>>> print(cromosim.__version__)
2.0.0
>>>

Now to make a first simulation, you can download one of the examples found in:

https://github.com/sylvain-faure/cromosim/tree/master/examples

or retrieve all the examples available using the following command (svn is the Subversion command):

~$ svn export https://github.com/sylvain\-faure/cromosim/trunk/examples my-cromosim

and then run a first example:

~$ cd my-cromosim/micro/granular
granular$ python micro_granular.py --json input_room.json

These examples will allow you to start your own calculations.

Indices and tables