PAVEsense - Export Formats: Difference between revisions

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PAVEsense data (formerly ''Roads AI'') can be exported from the portal in CSV and ESRI Shapefile format. Below is a list with the meaning of all fields.
PAVEsense data (formerly ''Roads AI'') can be exported from the portal in CSV and ESRI Shapefile format. Below is a list with the meaning of all fields.


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We regularly refer to the SCCR indicators. These are the relative indicators macro1, macro2, mega1, mega2 and waviness.
We regularly refer to the SCCR indicators. These are the relative indicators macro1, macro2, mega1, mega2 and waviness.


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For information on the interpretation of the indicators and the convergence criteria, see the [[PaveSense/en#Kwaliteitsindicatoren|PAVEsense user manual]].
For information on the interpretation of the indicators and the convergence criteria, see the [[PaveSense/en#Kwaliteitsindicatoren|PAVEsense user manual]].


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{| class="wikitable"
{| class="wikitable"
! CSV field name
! CSV field name

Revision as of 10:23, 14 October 2026

PAVEsense data (formerly Roads AI) can be exported from the portal in CSV and ESRI Shapefile format. Below is a list with the meaning of all fields.

We regularly refer to the SCCR indicators. These are the relative indicators macro1, macro2, mega1, mega2 and waviness.

For information on the interpretation of the indicators and the convergence criteria, see the PAVEsense user manual.

CSV field name Meaning
recipe_id The version of the software used for the export. All data within the same recipe_id are comparable. SCCR indicators are not comparable when the recipe_id differs.
gen_date The date on which the export took place
month The month the data relates to
segment_id The internal ID of the road segment concerned
road_name The name of the road, if it exists and is known to the system
sccr_first The date of the oldest measurement used to determine the SCCR indicators
sccr_last The date of the most recent measurement used to determine the SCCR indicators
sccr_conv Have the SCCR values converged?
v_85_kmh The reference speed (85th percentile of the measured speeds)
macro1 Macro1 indicator
macro2 Macro2 indicator
mega1 Mega1 indicator
mega2 Mega2 indicator
waviness Waviness indicator
macro1_ns Macro1 indicator – non-scaled
macro2_ns Macro2 indicator – non-scaled
mega1_ns Mega1 indicator – non-scaled
mega2_ns Mega2 indicator – non-scaled
wavi_ns Waviness indicator – non-scaled
iri_first The date of the oldest measurement used to determine the IRI indicator
iri_last The date of the most recent measurement used to determine the IRI indicator
iri_conv Have the IRI measurements converged?
iri_min The minimum measured IRI
iri_50perc The 50th percentile of the IRI measurements
iri_85perc The 85th percentile of the IRI measurements
iri_max The largest measured IRI value
iri_avg The average IRI value
iri_sterr The standard deviation of the measured IRI values
iri_rq The driving quality (from Poor to Very Good)
iri_rq_int The driving quality (from 1 to 5, with 1 Poor and 5 Very Good)
surf_conv Have the surface determinations converged?
surf_best Most likely estimated surface type
surf_src The source used to determine the surface type (TODO: document the meaning of the sources)
geometry The geometry of the road segment, in WKT
authority The road authority responsible for this road segment