The Smart and Scalable Urban Traffic Control system is a real-time, smart IoT-enabled adaptive traffic control system (in the sense of the Internet of Smart Intersections) that optimally schedules dynamic traffic flows in complex urban road networks, by integrating traffic theory with artificial intelligence (AI).

Dr. Xie is the lead inventor of the system. He created the core control engine (the brain) of the system, including schedule-driven intersection control (SchIC) and decentralized coordination mechanisms. He has also designed and realized all strengthening strategies of the system to enable its real-world operations.

Some extended work also includes: multi-modal urban traffic control (integrated with machine learning and computer vision techniques), integration with decentralized route choice framework, vehicle-to-infrastructure (V2I) communication with connected vehicles, energy efficiency optimization, and data-driven congestion and incident management.

Real-World Deployments

– Deployed the initial smart traffic lights for a road network of nine intersections in the East Liberty neighborhood, Pittsburgh, PA. The initial system has been running since June 2012.

– Expanded the smart traffic signals further to include nine more intersections in the Bakery Square region, Pittsburgh, PA. The expanded system has been running since October 2013.

% Improvement Travel Time Speed # of Stops Wait Time Emissions
East Liberty 25.79% 34.02% 31.34% 40.64% 21.48%
Bakery Square 24.10% 35.41% 40.42% 41.59% 20.69%

 Core Control Engine of Surtrac Surtrac control region Surtrac field equipment

Media Coverage

This work has been broadly reported in media and news since its successful deployments in the real world.

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Main Publications

- Supported in part by the Robotics Institute, with support from the Heinz Endowments, the Hillman Foundation, and the R. K. Mellon Foundation.