Traffic Volumes - Midblock Vehicle Speed, Volume and Classification Counts

The City of Toronto's Transportation Services Division collects short-term traffic count data across the City on an ad-hoc basis to support a variety of safety initiatives and projects.

The data available in this repository are a full collection of Speed, Volume and Classification Counts conducted across the City since 1993.

The two most common types of short-term traffic counts are Turning Movement Counts and Speed / Volume / Classification Counts.

Turning Movement Count data, comprised of motor vehicle, bicycle and pedestrian movements through intersections, can be found here.

Speed / Volume / Classification Counts are collected using pneumatic rubber tubes installed across the roadway.

This dataset is a critical input into transportation safety initiatives, infrastructure design and program design such as speed limit changes, signal coordination studies, traffic calming and complete street designs.

Each Speed / Volume / Classification Count is comprised of motor vehicle count data collected over a continuous 24-hour to 168-hour period (1-7 days), at a single location. A handful of non-standard 2-week counts are also included. Some key notes about these counts include:

Not all counts have complete speed and classification data. These data are provided for locations and dates only where they exist.
Raw data are recorded in 15-minute intervals.
Raw data are recorded separately for each direction of traffic movement. Some data are only available for one direction, even if the street is two-way.
Within each 15 minute interval, speed data are aggregated into approximately 5 km/h increments.
Within each 15 minute interval, classification data are aggregated into vehicle type bins by the number of axles, according to the FHWA classification system attached below.

The following files showing different views of the data are available:

Data Dictionary (svc_data_dictionary.xlsx): Provides a detailed definition of every data field in all files.
Summary Data (svc_summary_data): Provides metadata about every Speed / Volume / Classification Count available, including information about the count location and count date, as well as summary data about each count (total vehicle volumes, average daily volumes, a.m. and p.m. peak hour volumes, average / 85 percentile / 95 percentile speeds, where available, and heavy vehicle percentage, where available).
Most Recent Count Data (svc_most_recent_summary_data): Provides metadata about the most recent Speed / Volume / Classification Count data available at each location for which a count exists, including information about the count location and count date, as well as the summary data provided in the “Summary Data” file (see above).
Raw Data: Raw data is available in 15-minute intervals, and is distributed into one of three different file types based on the count type: volume-only, speed and volume, or classification and volume.
- If you’re looking for 15-minute data for a specific count, identify the count type and count date, then download the raw data file associated with the count type and period.
- If you’re looking for volume data for all count types, you will need to download and aggregate all three file types for a given period.
- Volume Raw Data (svc_raw_data_volume_yyyy_yyyy): These files—grouped by 5-10 year interval—provide volume data in 15-minute intervals, for each direction separately. You will find the raw data for volume-only counts (ATR_VOLUME) here.
- Speed and Volume Raw Data (svc_raw_data_speed_yyyy_yyyy): These files—grouped by 5-10 year interval—provide volume data aggregated into speed bins in approximately 5 km/h increments. Speed data are not available for all counts. You will find the raw data for speed and volume counts (ATR_SPEED_VOLUME) here.
- Classification and Volume Raw Data (svc_raw_data_classification_yyyy_yyyy): These files—grouped by 5-10 year interval—provide volume data aggregated into vehicle type bins by the number of axles, according to the FHWA classification system. Classification data are not available for all counts. You will find the raw data for classification and volume counts (VEHICLE_CLASS) here.
FHWA Classification Reference (fhwa_classification.png): Provides a reference for the FHWA classification system.

This dataset references the City of Toronto's Street Centreline dataset, Intersection File dataset and Street Traffic Signal dataset.

Datasets available for download

Additional Info

Field	Value
Last Updated	December 17, 2025, 18:39 (UTC)
Created	December 17, 2025, 18:39 (UTC)
Domain / Topic Domain or topic of the dataset being cataloged.	Transportation
Title Title for the Dataset.	Traffic Volumes - Midblock Vehicle Speed, Volume and Classification Counts
Description A description of the dataset.	The City of Toronto's Transportation Services Division collects short-term traffic count data across the City on an ad-hoc basis to support a variety of safety initiatives and projects. The data available in this repository are a full collection of Speed, Volume and Classification Counts conducted across the City since 1993. The two most common types of short-term traffic counts are Turning Movement Counts and Speed / Volume / Classification Counts. Turning Movement Count data, comprised of motor vehicle, bicycle and pedestrian movements through intersections, can be found here. Speed / Volume / Classification Counts are collected using pneumatic rubber tubes installed across the roadway. This dataset is a critical input into transportation safety initiatives, infrastructure design and program design such as speed limit changes, signal coordination studies, traffic calming and complete street designs. Each Speed / Volume / Classification Count is comprised of motor vehicle count data collected over a continuous 24-hour to 168-hour period (1-7 days), at a single location. A handful of non-standard 2-week counts are also included. Some key notes about these counts include: Not all counts have complete speed and classification data. These data are provided for locations and dates only where they exist. Raw data are recorded in 15-minute intervals. Raw data are recorded separately for each direction of traffic movement. Some data are only available for one direction, even if the street is two-way. Within each 15 minute interval, speed data are aggregated into approximately 5 km/h increments. Within each 15 minute interval, classification data are aggregated into vehicle type bins by the number of axles, according to the FHWA classification system attached below. The following files showing different views of the data are available: *Data Dictionary (svc_data_dictionary.xlsx): Provides a detailed definition of every data field in all files. Summary Data (svc_summary_data): Provides metadata about every Speed / Volume / Classification Count available, including information about the count location and count date, as well as summary data about each count (total vehicle volumes, average daily volumes, a.m. and p.m. peak hour volumes, average / 85 percentile / 95 percentile speeds, where available, and heavy vehicle percentage, where available). Most Recent Count Data (svc_most_recent_summary_data):* Provides metadata about the most recent Speed / Volume / Classification Count data available at each location for which a count exists, including information about the count location and count date, as well as the summary data provided in the “Summary Data” file (see above). Raw Data: Raw data is available in 15-minute intervals, and is distributed into one of three different file types based on the count type: volume-only, speed and volume, or classification and volume. If you’re looking for 15-minute data for a specific count, identify the count type and count date, then download the raw data file associated with the count type and period. If you’re looking for volume data for all count types, you will need to download and aggregate all three file types for a given period. Volume Raw Data (svc_raw_data_volume_yyyy_yyyy): These files—grouped by 5-10 year interval—provide volume data in 15-minute intervals, for each direction separately. You will find the raw data for volume-only counts (ATR_VOLUME) here. Speed and Volume Raw Data (svc_raw_data_speed_yyyy_yyyy): These files—grouped by 5-10 year interval—provide volume data aggregated into speed bins in approximately 5 km/h increments. Speed data are not available for all counts. You will find the raw data for speed and volume counts (ATR_SPEED_VOLUME) here. Classification and Volume Raw Data (svc_raw_data_classification_yyyy_yyyy): These files—grouped by 5-10 year interval—provide volume data aggregated into vehicle type bins by the number of axles, according to the FHWA classification system. Classification data are not available for all counts. You will find the raw data for classification and volume counts (VEHICLE_CLASS) here. *FHWA Classification Reference (fhwa_classification.png):* Provides a reference for the FHWA classification system. This dataset references the City of Toronto's Street Centreline dataset, Intersection File dataset and Street Traffic Signal dataset.
Tags / Keywords Keywords/tags categorizing the dataset.	atr traffic-speed traffic-volume truck-volume vehicle-classification
Format (CSV, XLS, TXT, PDF, etc) File format of the dataset.
Dataset Size Dataset size in megabytes.
Metadata Identifier Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date Published date of the dataset.	2025-01-30
Time Period Data Span (start date) Start date of the data in the dataset.
Time Period Data Span (end date) End date of time data in the dataset.
GeoSpatial Area Data Span A spatial region or named place the dataset covers.

Field	Value
Access category Type of access granted for the dataset (open, closed, service, etc).
License License used to access the dataset.	License not specified
Limits on use Limits on use of data.
Location Location of the dataset.	https://open.toronto.ca/dataset/traffic-volumes-midblock-vehicle-speed-volume-and-classification-counts
Data Service Data service for accessing a dataset.
Owner Owner of the dataset.	Transportation Services, Transportation Data & Analytics, [email protected]
Contact Point Who to contact regarding access?
Contact Point Email The email to contact regarding access?
Publisher Publisher of the dataset.
Publisher Email Email of the publisher.	[email protected]
Author Author of the dataset.	[email protected]
Author Email Email of the author.	[email protected]
Accessed At Date the data and metadata was accessed.

Field	Value
Identifier Unique identifier for the dataset.
Language Language(s) of the dataset
Link to dataset description A URL to an external document describing the dataset.
Persistent Identifier Data is identified by a persistent identifier.
Globally Unique Identifier Data is identified by a persistent and globally unique identifier.
Contains data about individuals Does the data hold data about individuals?
Contains data about identifiable individuals Does the data hold identifiable data about individual?
Contains Indigenous Data Does the data hold data about Indigenous communities?
Portal Type Platform type of the source portal.

Field	Value
Version Version of the datatset	None
Source Source of the dataset.	None
Version notes Version notes about the dataset.
Is version of another dataset Link to dataset that it is a version of.
Other versions Link to datasets that are versions of it.
Provenance Text Provenance Text of the data.
Provenance URL Provenance URL of the data.
Temporal resolution Describes how granular the date/time data in the dataset is.
GeoSpatial resolution in meters Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions) Describes how granular (in regions) geospatial data is in the dataset.

Field	Value
Indigenous Community Permission Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission Community permission (who gave permission).
The Indigenous communities the dataset is about Indigenous communities from which data is derived.

Field	Value
Number of data rows If tabular dataset, total number of rows.
Number of data columns If tabular dataset, total number of unique columns.
Number of data cells If tabular dataset, total number of cells with data.
Number of data relations If RDF dataset, total number of triples.
Number of entities If RDF dataset, total number of entities.
Number of data properties If RDF dataset, total number of unique properties used by the triples.
Data quality Describes the quality of the data in the dataset.
Metric for data quality A metric used to measure the quality of the data, such as missing values or invalid formats.

Traffic Volumes - Midblock Vehicle Speed, Volume and Classification Counts

Datasets available for download

Additional Info

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