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How TN-ITS and FME helped
HERE with UniMap Stay on the
Speed Limit
Presenter
The
Peak
of
Data
Integration
20
23
Juanma Anera
Sr. GIS Data Engineer
Here Technologies
The
Peak
of
Data
Integration
20
23
Agenda
1. Introduction
2. Concepts
3. FME process developed
4. Conclusion
The
Peak
of
Data
Integration
20
23
Introduction
The
Peak
of
Data
Integration
20
23
How can we
automatically Update
Speed Limits on Roads?
The
Peak
of
Data
Integration
20
23
This is all about Speed Limits mapping!
Can you build the perfect worldwide SL maintenance process?
Of course not, but let’s get closer to that.
So, what’s your idea?
I’ll show you at “The Peak of Data Integration”!
The
Peak
of
Data
Integration
20
23
Some concepts to know before the show…
• TN-ITS and ISA
• UniMap
• Speed Limits
The
Peak
of
Data
Integration
20
23
TN-ITS: a trusted
Data Exchange
Data
Sources
End User
Road Authorities publish
changes of road data
Fresh map data in vehicles,
navigation devices, roadside
units, traffic control centres
Map makers retrieve, verify
and integrate these changes
in their platform and bring
this to map users
Road
Authorities
Map makers
Service
Providers
National Access Points
The
Peak
of
Data
Integration
20
23
TN-ITS: a trusted
Data Exchange
5 Operational
• Sweden
• Finland
• Belgium (Flanders)
• Netherlands
• Hungary
9 Pilot
• United Kingdom
• Cyprus
• Greece
• Portugal
• Spain
• Slovenia
• Ireland
• France
• Lithuania
The
Peak
of
Data
Integration
20
23
ISA: New EU rules
The
Peak
of
Data
Integration
20
23
UniMap: A new era
of mapmaking
Introducing UniMap
2023 Shrinks detection-to-the-map time
to hours, minutes or seconds
Customers can combine datasets
and create new products in hours
Semantic consistency across SD,
HD and other map content
HERE’s new automated mapping system
revolutionizes how maps are created,
updated and used.
UniMap rapidly fuses large quantities of data
from diverse sources – including vehicle
sensors, industrial lidar and satellites – into a
fully aligned and unified global map, stored in a
single environment.
The
Peak
of
Data
Integration
20
23
Speed Limits: hottest topic
for navigable Map Makers
Every single contribution from any kind of source let us know the CURRENT Speed Limit on a Navigable
Road.
Advanced Driver
Assistance Systems
(ADAS)
Highly Automated
Driving (HAD)
Road safety &
awareness
Route
optimization
Tour
planning
The
Peak
of
Data
Integration
20
23
Finding new ways for Updating Speed Limits on
our Maps
Diverse inputs to get this road info:
• Real-time probe and sensor data.
• Self-driving roads.
• Communities.
• …, and
• 3rd
Party data: Road Authorities.
The
Peak
of
Data
Integration
20
23
"Data is a precious resource that, if used
responsibly and collaboratively, can empower
individuals, organizations, and societies to
make informed decisions and drive meaningful
change." - United Nations Data Revolution
Group
The
Peak
of
Data
Integration
20
23
Let’s build something with FME
The
Peak
of
Data
Integration
20
23
Process overview
The
Peak
of
Data
Integration
20
23
Formats involved
HTML + XML S3 Bucket PostgreSQL Tables
FileGDB
HTTP Post req
Upload FileGDB into HTML JIRA system.
Read HTML sites and access to each XML country repository.
Download and Store each XML document into an AWS S3 bucket.
Read each XML document and store the WKT GEOMETRY into a PostGIS table.
It was needed:
The
Peak
of
Data
Integration
20
23
Let’s now go Step-by-Step
1st step: Connect through each API. Example Belgium.
https://opendata.apps.mow.vlaanderen.be/tn-its/rest/dataset/v2
The
Peak
of
Data
Integration
20
23
Let’s now go Step-by-Step
1st step: Connect through each API. Example Belgium.
Read and List all XML files from TN-ITS BEL repo.
List all XML files from our AWS S3 bucket
S3 store only what needed
FMESERVER VERSION
The
Peak
of
Data
Integration
20
23
We do care about statistics
List all XML files from our AWS S3 bucket
List all features from PostgreSQL table
Store any new feature into PostgreSQL table
FMESERVER VERSION
The
Peak
of
Data
Integration
20
23
Extracting valuable data from XML
The
Peak
of
Data
Integration
20
23
Extracting valuable data from XML
List all BEL XML files from our AWS S3 bucket
List all BEL features from PostgreSQL table
Tag if Linear or Point data from XML
Pushing BEL data into PostGIS table
Extract all XML data needed (UUID, Geo, SL,
Timestamp…)
The
Peak
of
Data
Integration
20
23
Extracting valuable data from XML
The
Peak
of
Data
Integration
20
23
~3,6M records from BEL
The
Peak
of
Data
Integration
20
23
Extracting valuable data from XML
FMESERVER VERSION
The
Peak
of
Data
Integration
20
23
Converting into FileGDB
Data is submitted to JIRA system in form of FileGDB with all the new features from that week.
Once we have a process running daily storing data… We need to make use of it.
The
Peak
of
Data
Integration
20
23
Connecting to next Process
Jira
Ticket
Onboardi
ng
Processin
g
Deliver
CMS UTM
The
Peak
of
Data
Integration
20
23
Conclusion
The
Peak
of
Data
Integration
20
23
Hallo, you remember me?
Sure! How did you find the presentation?
…Time for QA, right?
Shoot!
The
Peak
of
Data
Integration
20
23
Amazing!
So, summing up…
You’re taking free available geo-data from various
country-wide Road Authorities (TN-IT… don’t recall),
Extract data and attributes your Company needs,
Store what needed, and pushing again into your
“comparison” tool to allow or not the Update on your
Roads… and without even pushing a button…
Right??!!
Cannot be better explained!
The
Peak
of
Data
Integration
20
23
Ready for giving another chance
to your National Authority APIs?
Danke!!
juanma.anera@here.com

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