Athens Launches AI-Powered Traffic Command System With Drones, 235 Cameras

Greek police have launched a new AI-driven traffic management system aimed at cutting congestion across greater Athens by up to 25%, deploying 235 cameras, 10 drones and a rapid-response motorcycle unit to tackle bottlenecks in real time.

The system, called "Traffic Commander," is run

from a modernized operations center at Greek Police Headquarters (GADA), pulling data from 24 sources — including traffic cameras, accident reports, roadworks, weather conditions and public transit — to build a single, continuously updated picture of road conditions across Attica.

A dedicated rapid-response team, known as KOMVOS, will use motorcycle officers to reach problem areas that patrol cars often can't reach quickly due to traffic itself, managing traffic signals and flow directly at the scene.

Authorities have mapped the region's most congestion-prone points, including Syngrou Avenue, Vasilissis Sofias, Panepistimiou, and Alexandras-Kifisias in central Athens; Eleftheriou Venizelou and Vouliagmenis in southeast Attica; Poseidonos Avenue in Kallithea; Piraeus's waterfront roads; and Kifisias and Mesogeion avenues in the northeast.

Attica handles roughly 700,000 vehicles entering central Athens daily across more than 1,623 kilometers of roads, serving a population of over 4 million.

Officials estimate the system will manage around 50,000 traffic incidents daily once fully operational, with more than 138 officers assigned to the unit.

Citizen Protection Minister Michalis Chrysochoidis said the system could gradually improve traffic flow by up to 25% once fully deployed.

Attica Traffic Police Director Sotiris Kaltabanis said KOMVOS teams would directly manage signals and flow at trouble spots, reducing delays and cascading congestion caused by breakdowns or minor accidents.

The system ran in pilot mode over the summer, with its first major test expected in mid-September as schools reopen and the city returns to full operation.

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Greek police have launched a new AI-driven traffic management system aimed at cutting congestion across greater Athens by up to 25%, deploying 235 cameras, 10 drones and a rapid-response motorcycle unit to tackle bottlenecks in real time.

The system, called "Traffic Commander," is run from a modernized operations center at Greek Police Headquarters (GADA), pulling data from 24 sources — including traffic cameras, accident reports, roadworks, weather conditions and public transit — to build a single, continuously updated picture of road conditions across Attica.

A dedicated rapid-response team, known as KOMVOS, will use motorcycle officers to reach problem areas that patrol cars often can't reach quickly due to traffic itself, managing traffic signals and flow directly at the scene.

Authorities have mapped the region's most congestion-prone points, including Syngrou Avenue, Vasilissis Sofias, Panepistimiou, and Alexandras-Kifisias in central Athens; Eleftheriou Venizelou and Vouliagmenis in southeast Attica; Poseidonos Avenue in Kallithea; Piraeus's waterfront roads; and Kifisias and Mesogeion avenues in the northeast.

Attica handles roughly 700,000 vehicles entering central Athens daily across more than 1,623 kilometers of roads, serving a population of over 4 million.

Officials estimate the system will manage around 50,000 traffic incidents daily once fully operational, with more than 138 officers assigned to the unit.

Citizen Protection Minister Michalis Chrysochoidis said the system could gradually improve traffic flow by up to 25% once fully deployed.

Attica Traffic Police Director Sotiris Kaltabanis said KOMVOS teams would directly manage signals and flow at trouble spots, reducing delays and cascading congestion caused by breakdowns or minor accidents.

The system ran in pilot mode over the summer, with its first major test expected in mid-September as schools reopen and the city returns to full operation.

Διαβάστε περισσότερα στο iefimerida.gr

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Athens Launches AI-Powered Traffic Command System With Drones 235 Cameras,