Konya Advances Smart City Vision with New Traffic Infrastructure Project

Konya Metropolitan Municipality, a pioneer in smart urban development, is launching another groundbreaking project in the city’s transportation infrastructure.

Konya Metropolitan Municipality Mayor Uğur İbrahim Altay stated that they aim to provide higher-quality services to citizens by integrating technology into municipal services. In this context, he announced that the “Artificial Intelligence Supported Road Defect Monitoring System” (YOLBİ) will be implemented.

Mayor Altay noted that Konya has made a name for itself in smart urbanism through significant projects that have gained attention both in Türkiye and on international platforms. He said, “With our data-driven governance approach, we are implementing sustainable and innovative solutions one by one that make urban life easier. YOLBİ will be one of them. We will continue working for Konya to become one of the leading smart cities in the world. I hope the new system we are launching will be beneficial for our city.”

The central management software developed for YOLBİ will collect all field data on a single platform, providing comprehensive monitoring and analysis capabilities. Each detected road defect will be recorded along with its location, time, image, and intervention status. In this way, retrospective reporting will be possible, and maintenance processes will become measurable and sustainable, leading to improved service standards.

With the mobile application enabling the digitalization of field operations, teams will be able to instantly view assigned tasks and reach intervention points in the fastest way possible through location-based navigation. All performed actions will be recorded with photos and videos, integrated into the system, and the entire process will be managed and monitored transparently from end to end.

This artificial intelligence supported system will not only increase operational efficiency but also reduce costs by enabling more effective and efficient use of public resources. Through real time data analysis and automatic notification mechanisms, it aims to accelerate decision making processes and make maintenance planning more accurate.