intelligently , by providing insights that enable better strategy and operational excellence – improving traffic patterns for citizen safety , reducing emissions , streamlining energy costs and preventing flooding .
By using a network of connected devices and SAS Viya , IMM is able to see when and where traffic is peaking in the city . More importantly , analytics help transportation leaders predict and act on changes in traffic before they occur . With this information at hand , IMM can forecast and manage the city ’ s traffic challenges using congestion alerts , warning citizens of delays and surges before they find themselves trapped in gridlock .
“ We are fortunate to work with the IMM , the local government for the city and surrounding districts ,” Mann says . “ Using SAS Viya and SAS Event Stream Processing ’ s advanced analytics , IMM ’ s team of city planners and engineers have built models of traffic patterns in Istanbul that help them better understand , predict , forecast and manage traffic flow in real-time .
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