Bronze level automatically awarded GB final
This data has achieved Bronze level on 28 October 2014 which means this data makes a great start at the basics of publishing open data.
The roadside survey is a survey of vehicles passing observation points on the UK road network. It uses automatic numberplate recognition (ANPR) cameras to capture registration marks at 256 sites during June each year (or every other from 2011 onwards). The data are primarily used to create the Vehicle Excise Duty (VED) evasion estimates, MOT non-compliance estimates and foreign-registered vehicles in traffic estimates. These files present anonymised individual vehicle observation information by matching the captured registration mark with data held in the DVLA database. The files do not include registration mark, precise observation data / location, keeper name or keeper address details. The data will be of use to anyone who wishes to understand the mix of vehicle types using British roads.
http://data.gov.uk/dataset/roadside-survey-of-vehicles Do you think this data is incorrect? Let us know
Department for Transport Do you think this data is incorrect? Let us know
UK Open Government Licence Do you think this data is incorrect? Let us know
UK Open Government Licence Do you think this data is incorrect? Let us know
originally created or generated by its curator Do you think this data is incorrect? Let us know
http://data.gov.uk/dataset/roadside-survey-of-vehicles Do you think this data is incorrect? Let us know
yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know
no data about individuals Do you think this data is incorrect? Let us know
http://data.gov.uk Do you think this data is incorrect? Let us know
no Do you think this data is incorrect? Let us know
http://data.gov.uk/api/rest/package/roadside-survey-of-vehicles Do you think this data is incorrect? Let us know
machine-readable Do you think this data is incorrect? Let us know
a standard open format Do you think this data is incorrect? Let us know
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