Skip to main content

Istanbul turns to SAS for digital traffic analytics

Turkish city's population has doubled to 16 million in the last 20 years
By Adam Hill May 11, 2023 Read time: 2 mins
Analytics mean drivers can be notified in real time of difficulties such as collisions, lane closures and congestion (© Mogo Art | Dreamstime.com)

Istanbul has turned to analytics to help sort out its traffic problems.

The Turkish city has congestion issues, with its population doubling over the last 20 years to 16 million people.

The Istanbul Metropolitan Municipality (IMM) has brought in software analytics specialist SAS to create smart-city digital infrastructure.

Using SAS Viya, its cloud-native, AI and analytics platform, "Istanbul’s engineers and planners can better understand, forecast, and manage the city’s traffic challenges", Sas insists.

The new system is powered by AI and machine learning running on SAS Viya, analysing historical traffic data and incorporating live data feeds from sources which include traffic cameras, sensors, data readers, mobile applications and payment gateways.

The results can be used to optimise bus routes, and IMM road operations can better control traffic signals and notify drivers in real time of difficulties - such as collisions, lane closures and congestion - through digital signage and mobile apps.

“With SAS AI and analytics, Istanbul’s municipal government can assess traffic conditions in real time, anticipate congestion trouble spots, and intelligently route traffic and guide citizens on their journeys,” said Naim Erol Özgüner, CIO of IMM.

“This helps reduce congestion, lower pollution levels, and improve the quality of life for our citizens. The SAS-powered system supports Istanbul’s sustainability goals, restores public confidence in mass transit, and ultimately improves traffic flow that leads to better economic opportunities.” 

Related Content

  • October 25, 2021
    What will MaaS look like in 2031?
    The next decade will see the humble trip planning app transformed by machine learning and AI, revolutionising the way we move around and interact with each other, says John Nuutinen of SkedGo
  • June 15, 2023
    Traffic management: risky business
    Adding a real-time accident risk layer to the profile of a road network ticks all the crucial boxes: it saves time, fuel, money and, ultimately, lives. Harriet King of Valerann explains the brain power of Lanternn by Valerann’s Core Fusion Engine...
  • January 31, 2012
    Travel data critical to traffic management, traveller information
    The ability to bundle together travel data from several discrete sources and fuse it to give a more comprehensive overview of events to stakeholders is the key aim of Viajeo, which is conducting trials in several cities around the world. Here, Ertico's Yanying Li writes about the project in more detail
  • August 14, 2012
    Tunnel network to relieve Istanbul's traffic congestion
    A series of road tunnels is taking shape to help relieve Istanbul from crippling road congestion, with an extensive array of safety and management systems operating from a single ITS platform. Nino Sehagic reports. Traffic in Istanbul has historically been described simply as jammed. Severe congestion and chaotic use of available road space are characteristics of a city of more than one and a half million cars. Istanbul’s existing road network could not cope and was in urgent need of expansion, leading the