A pilot in Pittsburgh is utilizing smart technology to optimize traffic signals, which is reducing the amount of time a vehicle is idled and stopped, as well as overall travel time. The system was created by an Carnegie Mellon professor in robotics and integrates existing signals with sensors and artificial intelligent 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 phasing of signals at intersections. They can be based on technologytraffic.com/2020/05/21/the-benefits-of-using-modern-traffic-technologies-by-data-room various types of hardware, including radar computer vision, radar, as well as inductive loops installed in the pavement. They can also collect data from connected vehicles in C-V2X and DSRC formats. The data is processed at the edge device, or sent to a cloud server to be analyzed.
Smart traffic lights can adjust the idle time and RLR at busy intersections to allow vehicles to move without slowing them down. They can also identify and warn drivers of safety issues such as traffic violations, lane markings, or crossing lanes. They can also help to prevent injuries and accidents on city roads.
Smarter controls can also be used to address new challenges, such as the rise of ebikes Escooters, and other micromobility devices that have risen during the epidemic. These systems monitor vehicles’ movement and apply AI to manage their movements at intersections that aren’t appropriate for their small size.