Traffic Volumes - Multimodal Intersection Turning Movement 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 Turning Movement Counts (TMC) conducted across the City since 1984.

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

Speed / Volume / Classification Count data, comprised of vehicle speeds and volumes broken down by vehicle type, can be found here.

Turning Movement Counts include the movements of motor vehicles, bicycles, and pedestrians through intersections. Counts are captured using video technology. Older counts were conducted manually by field staff.

The City of Toronto uses this data to inform signal timing and infrastructure design.

Each Turning Movement Count is comprised of data collected over 8 non-continuous hours (before September 2023) or over a continuous 14-hour period (September 2023 and after), at a single location. Some key notes about these counts include:

Motor vehicle volumes are available for movements through the intersection (left-turn, right-turn and through-movement for each leg of the intersection).
Motor vehicle volumes are further broken down by vehicle type (car, truck, bus).
Total bicycle volumes approaching the intersection from each direction are available.
Total pedestrian volumes crossing each leg of the intersection are available.
Raw data are recorded and aggregated into 15-minute intervals.

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

Summary Data (tmc_summary_data): Provides metadata about every TMC available, including information about the count location and count date, as well as summary data about each count (total 8- or 14-hour pedestrian volumes, total 8- or 14-hour vehicle and bicycle volumes for each approach to the intersection, percent of total that are heavy vehicles and a.m. and p.m. peak hour vehicle and bicycle volumes).
Most Recent Count Data (tmc_most_recent_summary_data): Provides metadata about the most recent TMC available at each location for which a TMC 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 (tmc_raw_data_yyyy_yyyy): These files—grouped by 5-10 year interval—provide count volumes for cars, trucks, buses, cyclists and pedestrians in 15-minute intervals, for movements through the intersection, for every TMC available. Vehicle volumes are broken down by movement through the intersection (left-turn, right-turn and through-movement, for each approach), cyclist volumes are broken down by leg they enter the intersection and pedestrian volumes are broken down by the leg of the intersection they are counted crossing.

Data dictionaries can be found under each of the views below.

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	April 14, 2026, 00:56 (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 - Multimodal Intersection Turning Movement 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 Turning Movement Counts (TMC) conducted across the City since 1984. The two most common types of short-term traffic counts are Turning Movement Counts and Speed / Volume / Classification Counts. Speed / Volume / Classification Count data, comprised of vehicle speeds and volumes broken down by vehicle type, can be found here. Turning Movement Counts include the movements of motor vehicles, bicycles, and pedestrians through intersections. Counts are captured using video technology. Older counts were conducted manually by field staff. The City of Toronto uses this data to inform signal timing and infrastructure design. Each Turning Movement Count is comprised of data collected over 8 non-continuous hours (before September 2023) or over a continuous 14-hour period (September 2023 and after), at a single location. Some key notes about these counts include: Motor vehicle volumes are available for movements through the intersection (left-turn, right-turn and through-movement for each leg of the intersection). Motor vehicle volumes are further broken down by vehicle type (car, truck, bus). Total bicycle volumes approaching the intersection from each direction are available. Total pedestrian volumes crossing each leg of the intersection are available. Raw data are recorded and aggregated into 15-minute intervals. The following files showing different views of the data are available: *Summary Data (tmc_summary_data): Provides metadata about every TMC available, including information about the count location and count date, as well as summary data about each count (total 8- or 14-hour pedestrian volumes, total 8- or 14-hour vehicle and bicycle volumes for each approach to the intersection, percent of total that are heavy vehicles and a.m. and p.m. peak hour vehicle and bicycle volumes). Most Recent Count Data (tmc_most_recent_summary_data): Provides metadata about the most recent TMC available at each location for which a TMC 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 (tmc_raw_data_yyyy_yyyy)*: These files—grouped by 5-10 year interval—provide count volumes for cars, trucks, buses, cyclists and pedestrians in 15-minute intervals, for movements through the intersection, for every TMC available. Vehicle volumes are broken down by movement through the intersection (left-turn, right-turn and through-movement, for each approach), cyclist volumes are broken down by leg they enter the intersection and pedestrian volumes are broken down by the leg of the intersection they are counted crossing. Data dictionaries can be found under each of the views below. 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.	turnsHousing Potential
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.	2021-03-11
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-at-intersections-for-all-modes
Data Service Data service for accessing a dataset.
Owner Owner of the dataset.	Transportation Services, [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.	N/A
Globally Unique Identifier Data is identified by a persistent and globally unique identifier.	N/A
Contains data about individuals Does the data hold data about individuals?	N/A
Contains data about identifiable individuals Does the data hold identifiable data about individual?	N/A
Contains Indigenous Data Does the data hold data about Indigenous communities?	N/A
Portal Type Platform type of the source portal.

Field	Value
Version Version of the datatset
Source Source of the dataset.
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 - Multimodal Intersection Turning Movement Counts

Datasets available for download

Additional Info

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