Big Data Helps City of Dublin Improve its Public Bus Transportation Network and Reduce Congestion
IBM recently 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 Dublin’s buses using stream computing and geospatial data.
Please read the entire press release here