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highway2vec

Kacper Leśniara and Piotr Szymański

Representing OpenStreetMap microregions with respect to their road network characteristics


Goals

> Find representations (embeddings) of microregions with respect to their road network characteristics

> Define a typology of such regions


Data

OSM

OSM query

Road Network

Used Cities

Features

Tag Description
oneway whether the road is one-way
highway rank of the road
surface physical surface, structure, composition
maxspeed maximum legal speed limit
lanes number of traffic lanes
bridge type of bridge that the way is on
junction type of junction that the way forms itself
access restrictions on the use
tunnel type of an underground passage
width actual width of a way

Microregions

Used Uber's H3 (hexagonal hierarchical geospatial indexing system). Hex Resolution comparison


highway2vec

Autoencoder

Aggregation


Results

Typology

Color Description
0 blue high-capacity regions containing arterial roads
1 light blue residential, paved regions with good quality of road infrastructure
2 orange residential, unpaved regions with low quality of road infrastructure
3 light orange regions complementing main road network
4 green high-capacity, high-speed regions and bypasses
5 light green estate regions and connectors
6 red motorways
7 light red traffic collectors and connectors

Microregions

City Typology
Bydgoszcz Bydgoszcz
Cracow Cracow
Poznan Poznan
Tricity Trójmiasto
Warsaw Warszawa
Wroclaw Wrocław

Latent Space

t-SNE TSNE

City Latent space projected into RGB
Bydgoszcz Bydgoszcz
Cracow Cracow
Poznan Poznan
Tricity Trójmiasto
Warsaw Warszawa
Wroclaw Wrocław

Operations in latent space

Summand Summand Result
High-traffic region containing a bridge Residential region Residential area next to high-traffic roads

Appendix

City feature occurance