, May 17, 2013 /PRNewswire/ -- Today IBM (NYSE:
) announced it is helping the
City of Dublin
use Big Data to identify and solve the root causes of traffic congestion in its public transport network throughout the city, which means improved traffic flow and better mobility for commuters. Integrating data from a citywide network of sensors with geospatial data means that city officials are able to better monitor and manage traffic in real time.
The Dublin City Council (DCC) delivers housing, water and transport services to 1.2 million citizens across the Irish capital. To keep the city moving, the council's traffic control center works together with local transport operators to manage an extensive network of roads, tramways and bus lanes.
In a collaboration with IBM researchers, its road and traffic department is now able to combine Big Data streaming in from an array of sources – bus timetables, inductive-loop traffic detectors, and closed-circuit television cameras, GPS updates that each of the city's 1,000 buses transmits every 20 seconds – and build a digital map of the city overlaid with the real-time positions of
's buses using stream computing and geospatial data.
Traffic controllers can now see the current status of the entire bus network at a glance and rapidly spot and drill down into a detailed visualization of areas of the network that are experiencing delay. These insights and the interface allow visualization of the data give them an opportunity to identify the cause of the delay as it is emerging and before it moves further downstream. This approach can accelerate the decision-making process to clear congestion more swiftly.
Additionally with improved reporting now in place, the data can help the city identify the optimal traffic-calming measures to reduce congestion. It can also help answer questions such as whether the bus line start times are correct or the best place to add additional bus lanes and bus-only traffic systems.