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Over the past 20 years , the city of Istanbul in Turkey has doubled in size – making it twice as big as New York City , US . This rapid population growth has led to an increase in traffic in the city , and consequently , generated a great deal more data , too .
To accommodate this , statistical software suite SAS worked with the Istanbul Metropolitan Municipality ( IMM ), to leverage data analytics to build models of traffic patterns in the city . Jason Mann , Vice President of IoT at SAS , explains how data analytics is being used to improve the sustainability credentials of cities across the globe and why SAS ’ s model can be applied to other growing cities .
SAS ’ s cloud-native AI platform The city of Istanbul used to have rush hours between 8-11AM every morning and 8-9PM every evening , according to the Head of the Transportation Center at Istanbul Ticaret University . However , like with many major cities , these periods grew longer and larger . This means that traffic is worsening , causing citizens to drive slower for longer , burning more fuel , releasing a greater volume of emissions , and leading to more drivers breathing polluted air for longer .
As a global leader in advanced analytics , SAS provides organisations in a host of industries with complete choice and control when analysing large sets of data – such as a city ’ s transportation data – through SAS ® Viya , the business ’ s cloudnative AI platform .
Additionally , SAS Viya provides flexible and scalable power quickly and
Jason Mann Vice President of IoT , SAS
112 September 2023