Transportation Intersection Volumes 2017
Data includes: intersection volume totals, date of collection and Intersection location name.
Data includes: intersection volume totals, date of collection and Intersection location name.
Accuracy: All motorized vehicle data provided is based on either an 8 or 12 hour standard count. The collected raw total is then expanded to a 24 hour volume and factored by Ottawa’s Annual Average Daily Traffic (AADT) values providing a factored 24 hour value. The pedestrian and bicycle totals are raw volumes which were observed over either an 8 or 12 hour period. All data points reported were collected using an automatic traffic recorder with an expected 95% +/- 5% accuracy.
The City of Ottawa provides this information in good faith but provides no warranty, nor accepts any liability arising from any incorrect, incomplete or misleading information or its improper use.
Annual Average Daily Traffic (AADT) is the average number of motorized vehicles in 24 hours, and provides an estimation of the motorized vehicle volume on any day of the year.
Update Frequency: Annually – note locations subject to change to reflect ad-hoc nature of intersection volume count program
Attributes:
• All Motorized Vehicles AADT (24 hour volume) represents total factored motorized vehicles volume
• % Trucks represents the total percentage of truck volume in the All Motorized Vehicles AADT (24 hour volume) field
• Pedestrians Not Factored represents the raw observed pedestrian volume over either an 8 or 12 hour observation
• Bicycles Not Factored represents the raw observed bicycle volume over either an 8 or 12 hour observation
Contact: Traffic Services
Datasets available for download
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Transportation_Intersection_Volumes_2017Feature Layer
Layer 0 via ArcGIS REST API
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Transportation_Intersection_Volumes_2017 (Explore)HTML
Explore Transportation_Intersection_Volumes_2017 on ArcGIS Hub
Additional Info
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| Last Updated | August 8, 2026, 06:53 (UTC) |
| Created | March 24, 2026, 20:40 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Transportation Intersection Volumes 2017 |
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Description
A description of the dataset.
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Data includes: intersection volume totals, date of collection and Intersection location name. Data includes: intersection volume totals, date of collection and Intersection location name. |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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160.0 |
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2019-08-23 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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public |
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License
License used to access the dataset.
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https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0 |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://od-dev2-ottawa.opendata.arcgis.com/datasets/ottawa::transportation-intersection-volumes-2017 |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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[email protected] |
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Contact Point
Who to contact regarding access?
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City of Ottawa |
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Contact Point Email
The email to contact regarding access?
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[email protected] |
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Publisher
Publisher of the dataset.
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City of Ottawa |
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Publisher Email
Email of the publisher.
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Author
Author of the dataset.
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[email protected] |
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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2026-08-07 |
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Identifier
Unique identifier for the dataset.
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f2a5820083204e5f83c604c1fcb4030f |
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Language
Language(s) of the dataset
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English |
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Link to dataset description
A URL to an external document describing the dataset.
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https://od-dev2-ottawa.opendata.arcgis.com/datasets/ottawa::transportation-intersection-volumes-2017 |
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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City of Ottawa |
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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| Field | Value |
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Number of data rows
If tabular dataset, total number of rows.
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584 |
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Number of data columns
If tabular dataset, total number of unique columns.
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8 |
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Number of data cells
If tabular dataset, total number of cells with data.
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4672 |
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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