Traffic signals and SCATS sites locations DCC

Published by: Dublin City Council
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Locations of junctions and pedestrian crossings with traffic signals and SCATS sites’ detectors within the Dublin City Council administrative area.

SCATS – SCATS (Sydney Coordinated Adaptive Traffic System) is an adaptive urban traffic management system that synchronises traffic signals to optimise traffic flow across a whole city, region or corridor. Attributes:

  • SiteID : Site (signal and SCATS Site) identifier

  • Site_Description_Cap : Site description in capital letters

  • Site_Description_Lower: site description in lower case letters

  • Region: refers to SCATS regional servers

  • Lat: Geographic location (Latitude)

  • Long : Geographic location (Longitude)

  • Site_Type : Site type; it has two values: SCATS or Signal Site

    • SCATS means that both SCATS detectors and traffic signals (traffic lights) are present.
    • Signal Site value means that only traffic signals are present.

Data Resources (7)

CSV
Traffic signals and SCATS locations in Dublin City Council administrative area
KML
Traffic signals and SCATS locations in Dublin City Council administrative area
DB_TABLE
Datastore resource derived from "dcc_traffic_signal_sites" in [this resource](53cda504-2330-4031-a294-81eb98a29207), ...
WMS
WMS publishing of the GeoServer layer "dcc_traffic_signal_sites" stored in [this ...
GEOJSON
Traffic signals and SCATS locations in Dublin City Council administrative area
ZIP
Traffic signals and SCATS locations in Dublin City Council administrative area
WMS
WMS publishing of the GeoServer layer "traffic-signals-and-scats-sites-locations-dcc" stored in [this ...

Data Resource Preview - Traffic signals and SCATS DCC

Theme Transport
Date released 2021-12-15
Date updated 2021-12-16
Update frequency Irregular
Language English
Landing page https://data.smartdublin.ie/dataset/traffic-signals-and-scats-sites-locations-dcc
Geographic coverage Dublin City
Spatial Reference Systems (SRS) WGS 84 (EPSG:4326)
OR: specify what period of time the dataset covers 2021

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