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Transportation

Overview

The Overture transportation theme is the collection of LineString and Point features that describe the infrastructure and conventions of how people and objects travel around the world. The dataset contains two features types: connector and segment. The three subtypes within segment -- road, rail, and water -- contain familiar categories of transportation data: highways, footways, cycleways, railways, ferry routes, and public transportation.

Most of the data in the transportation theme is sourced from OpenStreetMap. In the 2024-09-18.0 release, we began adding data from TomTom to improve coverage in key areas.

You might use the Overture transportation data for:

  • mapping: rendering a map of connected roads and paths.
  • routing: calculating optimal routes from place to place.
  • navigation: generating granular instructions on the maneuvers needed to follow a route.
  • analytics: transportation-related analysis including traffic safety analysis and disaster planning.
  • geocoding: getting the coordinates of street intersections (geocodes) or the street intersection near specific coordinates (reverse geocodes).

This guide is an overview of the transportation data. To dig into the details of the schema, see the schema concepts for transportation and the reference documentation for the segment and connector feature types.

Dataset description

All Overture data, including transportation data, is distributed as GeoParquet, a column-based data structure. Below you'll find a table with column-by-column descriptions of the properties in the transportation feature type.

Schema for GeoParquet files in the transportation theme
columntypedescription
idstringA feature ID. This may be an ID associated with the Global Entity Reference System (GERS) if—and-only-if the feature represents an entity that is part of GERS.
geometrybinaryThe line representation of the segment's location. Segment's geometry which MUST be a LineSting as defined by GeoJSON schema.
bboxstructArea defined by two longitudes and two latitudes: latitude is a decimal number between -90.0 and 90.0; longitude is a decimal number between -180.0 and 180.0.
versionintegerVersion number of the feature, incremented in each Overture release where the geometry or attributes of this feature changed.
sourcesstructThe array of source information for the properties of a given feature, with each entry being a source object which lists the property in JSON Pointer notation and the dataset that specific value came from. All features must have a root level source which is the default source if a specific property's source is not specified.
subtypestringThe broad category of transportation segment.
classstringCaptures the kind of road and its position in the road network hierarchy.
namesstructProperties defining the names of a feature.
connectorsstructArray of connector IDs identifying the connectors this segment is physically connected to linearly referenced with their location. Each connector is a possible routing decision point, meaning it defines a place along the segment in which there is possibility to transition to other segments which share the same connector.
routesstructRoutes this segment belongs to.
subclass_rulesstructDefines the portion of a road that the subclass applies to.
access_restrictionsstructRules governing access to this road segment or lane.
level_rulesstructDefines the Z-order, i.e. stacking order, of the road segment.
destinationsstructDescribes objects that can be reached by following a transportation segment in the same way those objects are described on signposts or ground writing that a traveller following the segment would observe in the real world. This allows navigation systems to refer to signs and observable writing that a traveller actually sees.
prohibited_transitionsstructDefines where traveling from the segment to another is disallowed for navigation. This covers things situations prohibited turns or a transition from road to bike lane disallowing cars.
road_surfacestructDefines the surface material on a road such as paved, asphalt, or unpaved.
road_flagsstructAdditional properties relevant to roads such as is_bridge or is_under_construction.
speed_limitsstructDefines the speed limit of the road segment.
width_rulesstructDefines the width of the road segment for rendering.
subclassstringSpecifies the usage of a length of road.
rail_flagsstructAdditional properties relevant to rail such as is_tunnel or is_freight.
filenamestringName of the file being queried.
themestringName of the Overture theme being queried.
typestringName of the Overture feature type being queried.

Subtypes

Transportation segments are divided into three subtypes: rail, water, and road. The road subtype is then further divided into a variety of different classes based on usage captured in the table below.

Class and subclass feature counts
subtypeclasssubclassfeature count, June 2025
railfunicular1,297
raillight_rail15,930
railmonorail2,979
railnarrow_gauge30,843
railstandard_gauge1,423,890
railsubway52,344
railtram59,142
railunknown372,866
roadbridleway99,049
roadcyclewaycycle_crossing55,477
roadcycleway1,259,399
roadfootwaycrosswalk2,109,280
roadfootwaysidewalk3,394,404
roadfootway15,631,725
roadliving_street3,296,747
roadmotorwaylink638,701
roadmotorway432,035
roadpath13,329,876
roadpedestrian461,593
roadprimarylink487,257
roadprimary6,670,265
roadresidential125,385,316
roadsecondarylink385,637
roadsecondary10,666,584
roadservicealley1,664,772
roadservicedriveway16,377,919
roadserviceparking_aisle6,266,426
roadservice32,743,206
roadsteps1,836,112
roadtertiarylink295,551
roadtertiary19,711,085
roadtrack25,012,146
roadtrunklink547,842
roadtrunk3,417,014
roadunclassified29,488,205
roadunknown704,794
water28,224

Data access and retrieval

Overture's transportation theme data is freely available on both Amazon S3 and Microsoft Azure Blob Storage at these locations:

providerlocation
Amazon S3
s3://overturemaps-us-west-2/release/2025-06-25.0/theme=transportation/type=segment/*
Azure Blob Storage
https://overturemapswestus2.blob.core.windows.net/release/2025-06-25.0/theme=transportation/type=segment/*

Data usage guidelines

We recommend downloading only the Overture data you need. If you have a particular geographic area of interest, there are several options for using a simple bounding box to extract places data and output a GeoJSON file.

First, follow the setup guide for the Python Command-line Tool.

Set type to either segment or connector and simply alter the bbox value to download a particular area.

overturemaps download --bbox=12.46,41.89,12.48,41.91 -f geojson --type=segment -o rome_segments.geojson

Data manipulation and analysis

Querying by properties in DuckDB

These examples use data properties to filter the data in useful ways using DuckDB.

The class column can be used to pull out subsets of the road data. Similarly, you could use subtype to select only water, rail, or road features. This example extracts only the parking_aisle features within the bounding box.

LOAD spatial; -- noqa
LOAD httpfs; -- noqa
-- Access the data on AWS in this example
SET s3_region='us-west-2';

COPY (
SELECT
*
FROM read_parquet('s3://overturemaps-us-west-2/release/2025-06-25.0/theme=transportation/type=segment/*')
WHERE
class = 'parking_aisle' AND
bbox.xmin > 13.0897 AND bbox.xmax < 13.6976 AND
bbox.ymin > 52.3100 AND bbox.ymax < 52.7086
)
TO 'berlin_parking_aisles.parquet';

Querying by properties in Athena

Athena can allow for faster querying of the transportation layer than DuckDB given the size of the data. These examples are designed for Athena, but could be reworked for DuckDB with some tweaking.

To properly return a linear referenced feature like a speed limit, we will need to query all the possible values of the feature as the queried value may only exist on one portion of the line. In this example, we're extracting roads with any speed limit max_speed value of 27 and unit of mph using the any_match function.

This same general query would also work for querying other similar columns such as prohibited_transitions and access_restrictions.

SELECT
id,
speed_limits,
ST_GEOMFROMBINARY(geometry) AS geometry
FROM v2025_06_25_0
WHERE type = 'segment'
AND ANY_MATCH(
speed_limits,
speed_limit->speed_limit.max_speed.value = 27
AND speed_limit.max_speed.unit = 'mph'
)

Tools and libraries

transportation-splitter

Overture Splitter
Conceptual diagram of the splitter tool output. The numbers following 1234@ represent start_lr and end_lr values.

The transportation-spitter tool transforms Overture road data into simpler sub segments. It will optionally divide features at each connector point and at each change of a scoped based property, depending on configuration. Depending on your needs and map stack, the resulting dataset may be easier to manipulate than the original Overture data as each segment will only have connections at either end and have one set of properties for its entire length.

Since a GERS ID will no longer be unique with this output, the resulting data will have two additional columns: start_lr and end_lr which are linear references describing which section of the orginal feature this new segment comes from.

Splitter Example

To help visualize this process better, here is a real world example of a residential street in OpenStreetMap, Overture, and after being run through the splitter tool.

OpenStreetMap Splitter Example
In OpenStreetMap this residential road is represented by two different features with the same tags with feature 1 having an additional restricted access tag.

More Information and Feedback

The tool requires a Spark environment to run and has been tested using Azure Databricks and AWS Glue. For set up information the transportation-spitter GitHub will contain the most up to date information as the tool is in active development still.

If you have feedback, questions, etc. on the tool you can create an issue on the GitHub.