COLOGNE, Germany, Jan. 17, 2013 /PRNewswire/ -- The City of Cologne, Germany, and IBM (NYSE: IBM) today announced the completion of a smarter traffic pilot to predict and manage traffic flow and road congestion in the city. The pilot demonstrates how the city of Cologne can anticipate, better manage, and in many cases, avoid traffic jams and trouble spots across the city using analytics technology.
The city's traffic engineers and IBM were able to predict traffic volume and flow with over 90 percent accuracy up to 30 minutes in advance. As a result, travelers would be able to better plan ahead and determine whether they should leave at a different time, plan an alternate route or use a different mode of transportation.
"The traffic prediction pilot results are very encouraging," said Thomas Weil, Director of the Cologne Traffic Control Center. "Having the ability to create actionable insight from the traffic monitoring data gives us an ability to better manage congestion as well as provide citizens with more precise traffic information. Our Traffic Command Center would be able to optimize current traffic flow while anticipating and planning for potential traffic incidents."Cologne, Germany's fourth largest city with a population of just over one million, is a retail center, hub for trade shows and a cultural center with many museums and galleries. The increase in traffic density and congestion has incentivized the City of Cologne to seek out new ways to better manage and optimize traffic flow and increase the capacity of its transportation networks within the constraints of its infrastructure. The traffic command center collects real-time data from more than 150 monitoring stations and 20 traffic cameras on the roads, highways and at intersections that are known to be traffic hot spots. However, the command center currently does not have advanced traffic management tools or a way to forecast what traffic will be like in the near future. The advanced transportation management software could help traffic officials identify imminent road congestion and help them plan and respond ahead of time.
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