Smart Technologies for Traffic Signals

In Pittsburgh, a pilot program utilizes smart technology to optimize timings of traffic signals. This helps reduce vehicle stop-and idle time as well as travel times. The system was developed by an Carnegie Mellon professor in robotics and combines signals that are already in use with sensors and artificial intelligence to improve the flow of traffic on urban roads.

Sensors are used by adaptive traffic signal control systems (ATSC) to monitor and adjust the timing and the phasing of signals in intersections. They can be built on various hardware options, including radar computers, computer vision, and inductive loops incorporated into the pavement. They also can collect data from connected vehicles in C-V2X and DSRC formats. Data is processed at the edge device, or transmitted to a cloud to be analyzed.

Smart traffic lights can regulate the idling time and RLR at busy intersections to keep vehicles moving without slowed down. They also can identify and warn drivers of dangers, such as lane marking violations or crossing lanes. They can also help to reduce accidents and injuries on city roads.

Smarter controls can also be used to address new challenges, like the growing popularity of ebikes Escooters, and other micromobility devices that have grown in the pandemic. These systems can track these vehicles’ movements and employ AI to better manage their movements at intersections that aren’t ideal for their size.

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