LIVE ANALYTICS |
Fully automated traffic data
collection and analytics
The my.swisstraffic platform offers engineers fully
automated traffic video analytics they can rely on
Words | Alain Bützberger, SWISSTRAFFIC AG, Switzerland
Above: The Video
Insights package
offers within one
hour a vast array
of analytical tools
to help traffic
managers make
the right decisions
based on real-
time data
Right: The
my.swisstraffic
platform allows
for detailed
object tracking
of pedestrians as
well as bicycles
and vehicles
Traffic data collection and
analytics is a fragmented
market, and organizations
don’t always know how and
where to get the information they
need. It is a common scenario in
which traffic video collection is
done in one place, traffic counting
outsourced from another and
advanced traffic micro-analyses
performed ad-hoc by the traffic
modelers themselves.
My.swisstraffic allows traffic
engineers to extract accurate data
from camera recordings made by
of their own cameras and analyze
it for the needs of their projects.
Video Insights is the first-ever
solution to provide rapid one-hour
delivery, unrivalled accuracy in all
weather conditions and a rich set of
analytical features that allow traffic
managers to perform tasks that were
previously unimaginable.
Extraction
My.swisstraffic extracts traffic data
automatically from your videos with
exact trajectories and behavior of
eight classes of traffic that includes
motorbikes, bicycles and even
138 Intertraffic World | Annual Showcase 2020
pedestrians. Shortly after, you can
interactively search the data using
the visual web dashboard.
Traffic data is the fuel of almost
every traffic engineering process,
with the top three drivers for
engineers being to receive rich and
accurate traffic data reliably under all
conditions, getting the data rapidly
without human effort and having
the platform to analyze it.
Benefits
Some of the most important traffic
metrics which users can analyze in
my.swisstraffic’s platform include:
1. Exact vehicle trajectories
My.swisstraffic provides full vehicle
and pedestrian trajectories with exact
positions in time with a millisecond
granularity. This is good not only
for visual analytics but also as the