IBM and City of Lyon, France to Create Transportation Management Center of the Future

IBM and City of Lyon, France to Create Transportation Management Center of the

First-of-a-kind collaboration to create real-time response plans, better
decision-making and faster response to traffic congestion and incidents

PR Newswire

BARCELONA, Spain, Nov. 14, 2012

BARCELONA, Spain, Nov. 14,2012 /PRNewswire/ --During Smart City Expo and
World Congress, IBM (NYSE: IBM) and the City of Lyon, France, today announced
a first-of-a-kind analytics technology that brings new intelligence to the
city's transportation management center. The pilot gives transportation
engineers real-time decision support on steps to reduce traffic congestion and
enable faster incident response time when an unexpected event occurs.

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Proactively managing the resulting traffic congestion means travelers spend
less time stuck in a traffic jam because detours can be put into place quickly
and more accurate alternate route suggestions help citizens get back on their
way sooner.

IBM researchers are piloting a system with the City of Lyon which will be used
to help traffic operators in its transportation management center evaluate an
incident and make more informed assessments about which actions would restore
traffic flow. Using real-time traffic data, the new analytics and optimization
technology can help officials predict outcomes and analyze different scenarios
to resolve problems.

For example, recommended actions could be adjusting traffic signals to allow
cars to detour more quickly and to allow for emergency vehicles to enter,
adjusting ramp metering or road closures or changing variable message signs to
alert of trouble ahead.

"As the city of Lyon strives to improve mobility for its citizens and become
a leader in sustainable transportation, piloting this analytics technology
will help the city anticipate and avoid many traffic jams before they happen
and lessen their impact on citizens," said GerardCollomb, Senator Mayor of
Lyon. "Using the data that we are collecting to make more informed decisions
will help us to promote about how to resolve unexpected traffic events and
optimize publictransportation that is becoming a credible alternative to the
use ofprivate cars."

Traffic management centers have sophisticated video walls and color maps of
real-time traffic that can integrate different streams of traffic data, but do
not provide full situational awareness across the transportation network.
Today, command center officials use predefined response plans or make
decisions on the fly. Neither method allows traffic operators to factor
current and future traffic patterns into their decision-making process.

Using software from IBM, actionable historical and real-time traffic data from
the City of Lyon is combined with advanced analytics and algorithms to help
model predicted conditions under both normal and incident conditions, and the
resulting impact across the entire network of roads, buses and trams. The
system can also be used to estimate drive times and traffic patterns in a
region more accurately and in real-time.

Over time, the algorithms will "learn" by incorporating best practices and
outcomes from successful plans to fine-tune future recommendations.
Additionally, the command center can develop traffic contingency plans for
major events such as large sporting events or concerts.

"Today transportation departments often capture real-time traffic data, but
there is no effective way to manage and find actionable insight to act upon
instantaneously for the immediate benefit of the traveller," said Sylvie
Spalmacin-Roma, vice president, Smarter Cities Europe, IBM. "With the City of
Lyon, we will demonstrate how the transportation management center of the
future will use analytics to improve the decision-making process, improve
first responder time and get citizens moving more efficiently by better
managing traffic."

The new predictive traffic management technology, named Decision Support
System Optimizer (DSSO), combines incident detection, incident impact
prediction and propagation, traffic prediction and control plan optimization.
It also uses the IBM Data Expansion Algorithm, which can estimate traffic data
that it is not available from sensors using descriptive flow models in
conjunction with the available real-time traffic data. The new technology is
compatible with the IBM Intelligent Operation Center's Intelligent
Transportation solution. IBM's software solutions for cities draw on
experience gained from Smarter Cities projects with cities around the world.

IBM is building on experience gained from Smarter Cities engagements around
the world. Working with IBM, city leaders can now monitor, measure and manage
a wide range of city services such as water management and intelligent
transportation among others. Using advanced technologies, like analytics
software, IBM is helping cities of all sizes apply intelligence to their city
operations to deliver better services to their citizens.

For more information on IBM Smarter Cities, visit

Sara Delekta Galligan
IBM Media Relations
415 565 6715


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