Metadata-Version: 2.1
Name: python-moss
Version: 0.2.1
Summary: MObility Simulation System
Author-email: Wenxuan Ao <aowx21@outlook.com>, Jun Zhang <zhangjun990222@gmail.com>
License: MIT License
        
        Copyright (c) 2024 FIB LAB, Tsinghua University
        
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Project-URL: Homepage, https://moss.fiblab.net
Project-URL: Repository, https://github.com/tsinghua-fib-lab/moss.git
Project-URL: Issues, https://github.com/tsinghua-fib-lab/moss/issues
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: shapely >=2
Requires-Dist: protobuf <5,>=3.20
Requires-Dist: grpcio
Requires-Dist: grpcio-tools
Requires-Dist: numpy >=1.20
Requires-Dist: pycityproto ==1.13.1
Requires-Dist: igraph
Requires-Dist: tqdm

# MOSS: MObility Simulation System

A GPU-accelerated Large-scale Open Microscopic Traffic Simulation System

Website: https://moss.fiblab.net

## Features

- **Efficient**: MOSS adopts GPU as the computational engine, which accelerates 100 times compared to existing microscopic traffic simulators, allowing rapid simulation of large-scale urban road networks.
- **Realistic**: MOSS provides the cutting-edge AIGC method to generate globally available realistic OD matrices for travel demand generation and allows the user to quickly calibrate the simulation parameters to obtain realistic simulation results.
- **Open**: The simulator, toolchain, and sample programs will be open-sourced on Github for community access, and we hope that more people will join in the development and application of MOSS.

## Related Repositories

- `mosstool`: The toolchain for MOSS, [URL](https://github.com/tsinghua-fib-lab/mosstool).
- sample programs: The sample programs for MOSS, [URL](https://github.com/tsinghua-fib-lab/moss-opt-showcases).

## Installation

### Prerequisites

- Linux
- CUDA 11.8
- Python >= 3.8

### Install

```bash
pip install python-moss
```

## FAQ

Q1: How to resolve the error `ImportError: /.../libstdc++.so.6: version 'GLIBCXX_3.4.30' not found`?

A1: Run `conda install -c conda-forge libstdcxx-ng=12` in the current conda environment.
