Kaizen

A Library build with two propose, to map match road elements either with probe trace or road elements from different source and help, tackle the problem of roads and building intersecting or overlapping, which are results of inaccurate digitizing, snapping, or resource mismatch.

This Library, presents, my view on tackling the aforementioned problem, caused during map making, addressed using obstacle avoidance and map matching

MapMatch	Conflict Resolver	ICT

Installation

pip install kaizen-mapping

Requirements

• Rtree - installation
• Geopandas - installation
• Rasterio - installation
• GDAL - installation
• Fiona - installation
• Shapely - installation

The library uses Rtree which has a dependency on libspatialindex, It is recommend to resolve the dependency through conda

LibSpatialIndex For Linux:

$ sudo apt-get update -y
$ sudo apt-get install -y libspatialindex-dev

LibSpatialIndex For Windows:

Experience is pretty slim, for Windows Installation, I recommend using conda, for trouble free installation.

MapMatch

Examples

1. Map Matching Road Element with Line String
2. Map Matching Road Element with List of Point

Conflict Resolver

Examples

1. Solving Conflict Between Building and Road without additional Reference
2. Complex Solving Conflict Between Building and Road without additional Reference
3. Solving Conflict Between Building and Road with matching the conflict with neighbouring data and finding associated reference points

ICT

Example

1. Spatial ICT

References

1. Fast Map Matching
2. ST-Map Matching
3. Game Programming
4. Robot Navigation