Cooperation Optimized Design for Information Dissemination in Vehicular Networks using Evolutionary Game Theory, 2012.
| Info: | See the site for more information. See GitHub for the latest source and Online Documentation for the lastest update on the package documentation. |
|---|---|
| Author: | Vincent Gauthier |
| Maintainer: | Vincent Gauthier <vgauthier@luxbulb.org> |
This python package an Agent Based Model used in [BAN12] lastest sources could be found at the fllowing repository: GitHub for the latest source.
This Toolbox include:
- Agent based model use in [BAN12] in the simulation directory
- Various simulation examples used in [BAN12] could be found in the example directory
- Human Based Mobility Models in the complex_systems directory
- Truncated Levy Flight Model [Rhee08]
| [BAN12] | (1, 2, 3) Abhik Banerjee, Vincent Gauthier, Houda Labiod, Hossam Afifi, "Cooperation Optimized Design for Information Dissemination in Vehicular Networks using Evolutionary Game Theory", 2012. |
| [Rhee08] | Injong Rhee, Minsu Shin, Seongik Hong, Kyunghan Lee and Song Chong, "On the Levy-walk Nature of Human Mobility", INFOCOM, Arizona, USA, 2008. |
You will need sphinx installed to generate the documentation. Documentation can be generated by running sphinx-build -b html . build/. Generated documentation can be found in the doc/build/html/ directory. Or consult the `online documentation`_ .
The easiest way to run the tests is to install nose (easy_install nose) and run nosetests or python setup.py test in the root of the distribution. Tests are located in the tests/ directory.