How to Run

Download the following files:

• underpass_detection.py
• underpass_detection_main.py
• Test datasets in /data folder

Run the script as follows:

python3 underpass_detection_main.py data/area_1.json area_1_underpass

Input Arguments

The script takes two input arguments:

1. Input file : A CityJSON file to be processed
2. Output file name : An output file name without extension

Outputs

1. SHP file: A SHP file will be created in /data folder. The file contains merged Outer Ceiling Surfaces and their area for each City Object with underpasses. Load into QGIS for visualization.

Test Datasets

• area_1.json: Near Rotterdam central library (Google Maps)
• area_2.json: Near Maritime Museum (Google Maps)
• area_3.json: Near Rotterdam central station (Google Maps)

Notes

Generic attributes must be included in the input dataset. Be sure to include them when downloading a new dataset from 3D Rotterdam.

Results

Following images are from test runs. Surfaces highlighted in green represent underpass surfaces.

Area 1	Area 2	Area 3

Example 1 (Google Map)

Example 2 (Google Map)

Example 3 (Google Map)

Example 4 (Google Map)