Your essential guide to the future of transportation communications
July/August 2019 Traffic Technology International
52: Smarter maps
An innovative mapping
system, combined with a
high-tech camera that enables
crowdsourcing, is broadening
the horizons of what is possible
for traffic and city management.
The Utah Department of
Transportation (UDOT) is
developing the USA’s most
data network by monitoring and
sharing data in real-time to enhance
safety and improve traffic flow.
As part of a US$50m partnership
with Panasonic, the new network is
expected to improve safety and
mobility on the state’s roads by
sharing data between vehicles,
infrastructure, roadways and traffic
operators in real-time.
UDOT’s traffic operations Center
(TOC) personnel will gain insights
into critical events such as crashes,
severe weather, or stalled vehicles.
They will then be able to alert
connected vehicle (CV) drivers in
real-time with alternate routes and
other helpful information.
The network will allow UDOT to
accelerate development toward a
statewide system for collecting and
sharing connected and autonomous
vehicle (CAV) data.
The first phase of the new vehicleto
everything (V2X) system will
encompass 40 installation sites,
along with a fleet of 30 state-owned
vehicles. UDOT and Panasonic will
work together to identify specific
locations and scenarios where this
system is likely to provide the most
benefit. Once identified, teams from
both organizations will develop
new software applications, install
sensor networks along the selected
roads, and build the control system.
Future phases of this system will
expand to include 220 installation
sites and up to 2,000 vehicles. A
unique feature of Panasonic’s Cirrus
data network is its ‘open architecture’,
designed to enable other DOTs and
third-party developers to coordinate
with UDOT, and connect their
applications to address critical
safety and maintenance needs.
In partnership with Panasonic, Utah is taking the first steps toward
a statewide data network for monitoring and collecting CAV data