0936211399 HOTLINE In Pittsburgh, a pilot program utilizes intelligent technology to optimize timings for traffic signals. This can reduce the amount of time that vehicles stop and idle time and travel times. The system was developed by an Carnegie Mellon professor in robotics and combines existing signals with sensors and artificial intelligence to improve the flow of traffic on urban road networks.
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 upon different types of hardware, like radar, computer vision, and inductive loops embedded within the pavement. They can also capture 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 time of idle and RLR at busy intersections to allow vehicles to move without slowing them down. They also can alert drivers to safety issues such as traffic violations, lane markings, or crossing lanes, assisting to minimize injuries and accidents on city roads.
Smarter controls are also a way to overcome new challenges, such as the popularity of ebikes, escooters and other micromobility solutions that have risen during the pandemic. These systems can track the movement of these vehicles and use AI to better control their movements at intersections with traffic lights, which aren’t ideal because of their size or maneuverability.
technologytraffic.com/2020/05/01/modern-traffic-technologies-by-board-room
