tmc_summary_data
Opis skupa podataka:
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....
Izvor: Traffic Volumes - Multimodal Intersection Turning Movement Counts
Rječnik podataka
- ID
- count_id
- Vrsta
- int4
- Opis
Unique identifier for each Turning Movement Count. Use this ID to cross-reference 15-minute observations in tmc_raw_data files.
- ID
- count_date
- Vrsta
- date
- Opis
Date the count was conducted. For Turning Movement Counts, studies are conducted on one day only.
- ID
- location_name
- Vrsta
- text
- Opis
Human-readable name of the location where the count was conducted (e.g. Bloor Street / Yonge Street)
- ID
- longitude
- Vrsta
- float8
- Opis
Longitude GPS coordinate
- ID
- latitude
- Vrsta
- float8
- Opis
Latitude GPS coordinate
- ID
- centreline_type
- Vrsta
- text
- Opis
Intersection node or Midblock segment. Spatial geometry can be found by using centreline type and centreline id to lookup spatial information in the Toronto Centreline and Intersection File datasets. If the centreline type is Intersection, cross-reference centreline id with INTERSECTION ID in the Intersection File dataset (https://open.toronto.ca/dataset/intersection-file-city-of-toronto/). If the centreline_type is Midblock, cross-reference centreline_id with CENTRELINE_ID in the Toronto Centreline dataset (https://open.toronto.ca/dataset/toronto-centreline-tcl/).
- ID
- centreline_id
- Vrsta
- int4
- Opis
Unique location identifier that corresponds to the Toronto Centreline or Intersection File datasets. Join to the Toronto Centreline dataset for segments. Join to the Intersection File dataset for nodes.
- ID
- px
- Vrsta
- int4
- Opis
If there is a traffic control signal at the location, this is the unique identifier for the signal. Join to Traffic Signals Tabular (https://open.toronto.ca/dataset/traffic-signals-tabular/).
- ID
- count_duration
- Vrsta
- text
- Opis
Duration of count (14, 8R, 8S) 14 = 14-hours of data collected over a continuous period from 6:00am-8:00pm 8R = 8-hours of data collected during the non-continuous Routine schedule of 7:30 - 9:30 / 10:00 - 12:00 / 13:00 - 15:00 / 16:00 - 18:00 8S = 8-hours of data collected during the non-continuous School schedule of 7:30 - 9:30 / 10:00 - 11:00 / 12:00 - 13:30 / 14:15 - 15:45 / 16:00 - 18:00
- ID
- total_vehicle
- Vrsta
- int4
- Opis
Total motor vehicle volume over the count duration. Motor vehicles include cars, trucks, and buses.
- ID
- total_bike
- Vrsta
- int4
- Opis
Total bicycle volume over the count duration
- ID
- total_heavy_pct
- Vrsta
- float8
- Opis
Percentage of motor vehicle volume considered heavy vehicles (truck/bus), over the count duration
- ID
- total_pedestrian
- Vrsta
- int4
- Opis
Total pedestrian volume crossing any leg of the intersection, over the count duration NOTE: Pedestrians are counted once for each leg of the intersection they cross. For example, if a pedestrian crosses the north leg, then the east leg, they are counted once crossing the north leg, and once crossing the east leg.
- ID
- am_peak_start
- Vrsta
- timestamp
- Opis
Start of the AM Peak hour. The AM Peak hour is the continuous one-hour period between 6:30-10:30AM during which the total number of motor vehicles (cars, trucks, buses) that enter the intersection is the greatest.
- ID
- am_peak_vehicle
- Vrsta
- int4
- Opis
Volume of motor vehicles observed during the AM peak hour
- ID
- am_peak_bike
- Vrsta
- int4
- Opis
Volume of bicycles observed during the AM peak hour
- ID
- am_peak_heavy_pct
- Vrsta
- float8
- Opis
Percentage of motor vehicle volume considered heavy vehicles (truck/bus), during the AM peak hour
- ID
- pm_peak_start
- Vrsta
- timestamp
- Opis
Start of the PM Peak hour. The PM Peak hour is the continuous one-hour period between 2:00-8:00PM during which the total number of motor vehicles (cars, trucks, buses) that enter the intersection is the greatest.
- ID
- pm_peak_vehicle
- Vrsta
- int4
- Opis
Volume of motor vehicles observed during the PM peak hour
- ID
- pm_peak_bike
- Vrsta
- int4
- Opis
Volume of bicycles observed during the PM peak hour
- ID
- pm_peak_heavy_pct
- Vrsta
- float8
- Opis
Percentage of motor vehicle volume considered heavy vehicles (truck/bus), during the PM peak hour
- ID
- n_appr_vehicle
- Vrsta
- int4
- Opis
Volume of motor vehicles that enter the intersection from the north leg (approach), over the count duration
- ID
- n_appr_bike
- Vrsta
- int4
- Opis
Volume of bicycles that enter the intersection from the north leg (approach), over the count duration NOTE: For counts conducted September 2023 and after, this includes bicycles on the road riding into the intersection from the north leg, plus bicycles riding in the crosswalk area across the west leg
- ID
- n_appr_heavy_pct
- Vrsta
- float8
- Opis
Percentage of motor vehicle volume considered heavy vehicles (truck/bus), that enter the intersection from the north leg (approach), over the count duration
- ID
- e_appr_vehicle
- Vrsta
- int4
- Opis
Volume of vehicles that enter the intersection from the east leg (approach), over the count duration
- ID
- e_appr_bike
- Vrsta
- int4
- Opis
Volume of bicycles that enter the intersection from the east leg (approach), over the count duration NOTE: For counts conducted September 2023 and after, this includes bicycles on the road riding into the intersection from the east leg, plus bicycles riding in the crosswalk area across the north leg
- ID
- e_appr_heavy_pct
- Vrsta
- float8
- Opis
Percentage of motor vehicle volume considered heavy vehicles (truck/bus), that enter the intersection from the east leg (approach), over the count duration
- ID
- s_appr_vehicle
- Vrsta
- int4
- Opis
Volume of vehicles that enter the intersection from the south leg (approach), over the count duration
- ID
- s_appr_bike
- Vrsta
- int4
- Opis
Volume of bicycles that enter the intersection from the south leg (approach), over the count duration NOTE: For counts conducted September 2023 and after, this includes bicycles on the road riding into the intersection from the south leg, plus bicycles riding in the crosswalk area across the east leg
- ID
- s_appr_heavy_pct
- Vrsta
- float8
- Opis
Percentage of motor vehicle volume considered heavy vehicles (truck/bus), that enter the intersection from the south leg (approach), over the count duration
- ID
- w_appr_vehicle
- Vrsta
- int4
- Opis
Volume of vehicles that enter the intersection from the west leg (approach), over the count duration
- ID
- w_appr_bike
- Vrsta
- int4
- Opis
Volume of bicycles that enter the intersection from the west leg (approach), over the count duration NOTE: For counts conducted September 2023 and after, this includes bicycles on the road riding into the intersection from the west leg, plus bicycles riding in the crosswalk area across the south leg
- ID
- w_appr_heavy_pct
- Vrsta
- float8
- Opis
Percentage of motor vehicle volume considered heavy vehicles (truck/bus), that enter the intersection from the west leg (approach), over the count duration
Dodatne informacije
| Polje | Vrijednost |
|---|---|
| Zadnje ažuriranje podataka | 30. juni 2025. |
| Zadnje ažuriranje meta podataka | 20. februar 2026. |
| Kreirano | 30. juni 2025. |
| Format | CSV |
| Licenca | License not specified |
| Datastore active | True |
| Datastore cache | {'CSV': 'b7ff9375-e215-408f-80a5-ec9e55246e19', 'XML': '4e677b51-a337-4d37-8dca-8cde9ea81243', 'JSON': '0762c46e-eef6-4630-94f3-350867beeb66'} |
| Datastore cache last update | prije 14 sati |
| Extract job | Airflow: Integration Pipeline traffic-volumes-at-intersections-for-all-modes |
| Has views | True |
| Id | 1364bffa-29a3-4c39-af8a-925d8ca7bf1f |
| Is preview | True |
| Package id | 811c4c10-7e5d-4c76-8d42-dab4e31c8265 |
| Position | 1 |
| Record count | 31.189 |
| State | active |
| Url type | datastore |
| Extract Job | Airflow: Integration Pipeline traffic-volumes-at-intersections-for-all-modes |
| Is Datastore Cache File? | |
| Datastore Cache |
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| Datastore Cache Last Updated | |
| Datastore resource's ID |