For example, using advanced analytics on data collected on each bus' journey showed that some buses were being passed on route by buses that departed at a later time during rush hour. Now, IBM researchers, the DCC and city bus operators are working to pinpoint why the distance or time between buses, also know as headways, are diverging in this manner and what measures can be quickly put into action that will improve traffic flow at these specific peak times."Until recently we had a fragmented view of the overall health and real-time status of Dublin's transport network, making it very difficult to identify traffic congestion in its early stages because the causes of a delay had often moved on," said Brendan O'Brien, Head of Technical Services, Roads and Traffic Department at Dublin City Council. "As a result of the research collaboration we now have a better idea of how multiple data can be merged from across different sources and the IBM Research prototypes show what can be achieved in this area."
Big Data Helps City Of Dublin Improve Its Public Bus Transportation Network And Reduce Congestion
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