Greek police and Polytechnic enlist AI and digital twins to tackle Attica traffic
Translated from Greek and summarized by DistantNews. Read the original for the full story.
At a glance
- The Hellenic Police and the National Technical University of Athens have begun working together on new solutions for the Traffic Commander system in Attica.
- The project will use artificial intelligence, digital twins and advanced data analysis to improve traffic management and road safety.
- Researchers will develop and test the tools in real-world conditions with the police traffic monitoring and control center.
Artificial intelligence and digital twins are being brought into the fight against traffic congestion in Attica. The Hellenic Police and the National Technical University of Athens have begun cooperating on the development and evaluation of new tools for the Traffic Commander system.
The partnership was launched at a meeting on Wednesday, September 2, involving Attica General Police Director Athanasios Kambra, representatives of the universityโs civil engineering school and the Polytechnicโs technical services directorate. The aim is to combine the police forceโs operational experience with the universityโs research expertise.
The traffic monitoring and control center of the Attica General Police Directorate will work with the university on developing, applying and assessing solutions designed to make road management more efficient and safer. The technologies under consideration include AI, digital twins and advanced data analysis.
Traffic Commander combines information from different data sources to give police a picture of road conditions and support operational decisions. Police officials say traffic is shaped not only by transport issues, but also by infrastructure, the movement of people and goods, driver behavior, technology, emergencies and civil protection.
After the meeting, university representatives visited the control center and watched Traffic Commander operating. The cooperation is intended to allow the partners to test proposed solutions under real-world conditions.
Originally published by Ta Nea in Greek. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.