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\n![Linux](https://img.shields.io/badge/Linux-FCC624?style=for-the-badge\u0026logo=linux\u0026logoColor=black)  \n[![PyPI version fury.io](https://badge.fury.io/py/commonroad-prediction.svg)](https://pypi.python.org/pypi/commonroad-prediction/)\n[![PyPI download month](https://img.shields.io/pypi/dm/commonroad-prediction.svg?label=PyPI%20downloads)](https://pypi.python.org/pypi/commonroad-prediction/) \n[![PyPI download week](https://img.shields.io/pypi/dw/commonroad-prediction.svg?label=PyPI%20downloads)](https://pypi.python.org/pypi/commonroad-prediction/)   \n[![PyPI license](https://img.shields.io/pypi/l/commonroad-prediction.svg)](https://pypi.python.org/pypi/commonroad-prediction/)\n\nA collection and interface for CommonRoad-based prediction algorithms.\n\n## Project status\nCurrently implemented and tested models:   \n\n- Constant Velocity Linear Predictor [1]\n- Constant Velocity Curvilinear Predictor [1]\n- Constant Acceleration Linear Predictor [1]\n- Constant Acceleration Curvilinear Predictor [1]\n\nIn development:\n- Intelligent Driver Model (IDM) Predictor [2]\n- Lane-Changing Model MOBIL Predictor [3]\n\nWe highly welcome your contribution.\nIf you want to contribute a prediction algorithm, please create an issue/pull request in our [GitHub repository](https://github.com/commonroad/commonroad-prediction).\n\n\n## Installation and Usage\nWe recommend to use PyCharm (Professional) as IDE.  \n### Usage in other projects\nWe provide an PyPI package which can be installed with the following command\n```shell\npip install commonroad-prediction\n```\n\n### Development\nIt is recommended to use [poetry](https://python-poetry.org/) as an environment manager.\nClone the repository and install it with poetry.\n```shell\ngit clone git@github.com:commonroad/commonroad-prediction.git\npoetry shell\npoetry install\n```\n\n### Examples\nWe recommend to use PyCharm (Professional) as IDE. \nAn example script for visualizing predictions is provided [here](example.md).\n\n\n## Documentation\nYou can generate the documentation within your activated Poetry environment using.\n```bash\npoetry shell\nmkdocs build\n```\nThe documentation will be located under site, where you can open `index.html` in your browser to view it.\nFor updating the documentation you can also use the live preview:\n```bash\npoetry shell\nmkdocs serve\n```\n\n## Authors\nResponsible: Roland Stolz, Sebastian Maierhofer\n\n\n## References\nThe implemented algorithms are based on the subsequent publications:  \n\n[1] R. Schubert, E. Richter and G. Wanielik, \n\"Comparison and evaluation of advanced motion models for vehicle tracking,\"\nProc. of the IEEE Int. Conf. on Information Fusion, 2008, pp. 1-6.\n\n[2] M. Treiber, A. Hennecke, and D. Helbing, \n\"Congested traffic states in empirical observations and microscopic simulations,\"\nPhysical Review E, vol. 62, no. 2, pp. 1805–1824, 2000.\n\n[3] A. Kesting, M. Treiber, and D. Helbing, \n“General lane-changing model MOBIL for car-following models,” \nTransportation Research Record, vol. 1999, pp. 86–94, Jan. 2007","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcommonroad%2Fcommonroad-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcommonroad%2Fcommonroad-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcommonroad%2Fcommonroad-prediction/lists"}