Show HN:美国路网——一个用于快速进行美国本地路径规划的Python库
Show HN: US Routing – Python library for fast local routing in the US

原始链接: https://github.com/ivanbelenky/us-routing

US Routing是一个Python库,用于在美国境内进行快速、近似的局部路径规划,它利用北美道路数据集。它能够在城市、邮政编码和坐标之间规划路线,并提供最短距离或最快时间等选项。该库提供详细的路线信息,包括距离、持续时间和经过的州。 安装非常简单,可以使用pip或poetry。`get_route`函数计算路线,`download_north_american_roads`函数管理数据获取。该库处理混合类型的地理位置,并包含针对坐标临近性的错误处理。 对于自定义的路径规划方案,`BaseRouter`类允许用户从包含几何和属性数据的shapefile构建图。用户可以定义如何比较和设置边的属性。生成的路由器可以序列化以便以后使用。欢迎为项目贡献代码。

Hacker News 帖子总结: Ivanbelenky 发布了“Show HN: US Routing”,一个用于快速美国本地路径规划的 Python 库。Simonw 探索了源代码,发现其中包含一个来自 ArcGIS 的 282MB SQLite 数据库。但是,在尝试读取数据库时,他们遇到了一个错误(“no such module: VSRS”),怀疑这需要一个 Esri 专有的模块。Ivanbelenky 承认了这个链接,并指出它可能已损坏,并声明该库使用了更小、预处理过的图表数据表示。Ivanbelenky 还澄清了原始 NTAD 数据集是公共领域的。Dmitrygr 指出该库与 Google 或 Google 地图无关,促使 Ivanbelenky 反问它是否占 Google 地图功能的 1%。

原文

US Routing Logo

US Routing is a Python library for fast local routing in the United States. It's useful when approximations are acceptable. It bootstraps from the North American Roads dataset.

You can install US Routing using pip:

or using poetry:

git clone https://github.com/ivanbelenky/us-routing.git
cd us-routing
poetry install

Here's a quick example of how to use US Routing:

from us_routing import get_route

# Route between two cities
r = get_route('New York', 'Los Angeles', edge_distance="DURATION")
print(r.total_distance, r.duration)
# Output in km of course:
# 4434.759999999997 1 day, 20:46:24.499959

# Print route steps
print(r)
# Output: [
#POINT (-73.99811899964011 40.7508730002449) -> POINT (-74.0013209995546 40.74648499998924) (0.5700000000000001 km) 9TH AV, SP_TH_MA, 72 km/h
#POINT (-74.0013209995546 40.74648499998924) -> POINT (-74.0054249996425 40.74097199980971) (0.6799999999999999 km) 9TH AV, SP_TH_MA, 72 km/h
#POINT (-74.0054249996425 40.74097199980971) -> POINT (-74.00819599956175 40.74211600011984) (0.27 km) W 14TH ST, SP_TH_MA, 72 km/h
#POINT (-74.00819599956175 40.74211600011984) -> POINT (-74.0090509998795 40.74090099973697) (0.16 km) 10TH AV, SP_TH_MA, 72 km/h
# ...]

# Route between zip codes
r = get_route('10001', '60007')
print(r.total_distance, r.duration)
# Output:
# 1315.910000000001 13:20:26.827392


# Route between coordinates, will raise ValueError if closest node in the graph is too far from the location
try:
    r = get_route((40.7128, -74.0060), (34.0522, -118.2437), d_threshold=0.00001)
    print(r.total_distance, r.duration)
except ValueError as e:
    print(e)
#  Node 2bd87209-d2fe-4f41-a89f-29104aeb5cf9 is too far from location point=<POINT (40.713 -74.006)> zip_code=None admin=None name=None

r = get_route((-74.0060, 40.7128), (-118.2437, 34.0522), d_threshold=10)

# and for sure you can mix stuff up
r = get_route((40.7128, -74.0060), "seattle", d_threshold=15)
  • Fast routing between US locations (cities, zip codes, or coordinates)
  • Multiple routing options by default (shortest distance, fastest time)
  • Detailed route information (distance, duration, states traversed)

The routing data is based on the North American Roads dataset. The library includes functionality to download and process this data:

from us_routing import download_north_american_roads

download_north_american_roads()

To set up the development environment:

  1. Clone the repository
  2. Install Poetry: pip install poetry
  3. Install dependencies: poetry install

This package provides a BaseRouter class that you can use to build your own custom routing graphs. It exposes a very simple API to create routers from shapefiles containing multiple geometries and optional attributes for those geometries. It looks something like this:

geometries: Sequence[LineString | MultiLineString]
geometries_data: Optional[Sequence[Dict[str, Any]]] = None # should be serializable

# Optional arguments to define how attributes are compared and set to the edges of the graph
edge_attr_equal: Optional[Callable[[Any, Any], bool]] = ...
edge_attr_setter: Optional[Callable[[Any, Any], dict[str, Any]]] = ...

router = BaseRouter.from_geometries(geometries, geometries_data, edge_attr_equal, edge_attr_setter)
router.serialize("path_to_save")

Contributions are welcome! Please feel free to submit a Pull Request.

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