Smart Technologies for Traffic

A delicately interwoven network of processes, smart technologies for traffic aid transport personnel, drivers and commuters improve efficiency and flow of traffic. Utilizing the latest IoT sensors, hardware routers, cellular technology and sensors intelligent traffic systems modify control mechanisms in a dynamic manner, such as traffic lights and freeway on-ramp meters bus rapid transit lanes highway message boards, and even speed limits. They can also assist in forecasting changes in traffic demand and provide a variety of live information to road users.

Pittsburgh’s adaptive traffic signal system is a great example. Stephen Smith, a professor at Carnegie Mellon University’s (CMU), installed his first experimental traffic signals to a heavily trafficked area of East Liberty in the city. Smith saw immediate results. Drivers were able to travel 25 percent faster and were able to drive 40 percent more efficiently.

The system collects data from sensors that track traffic patterns and adjust their timing on the fly. It also detects pedestrians in intersections, and gives them enough time to safely cross the street. The sensors send their raw data into the central hub, where it is processed by artificial intelligence. The data is then transmitted back to the intersections resource via 5G-enabled cell networks.

These advanced systems permit better and more accurate simulation of scenarios that reduce risks, which a human traffic manager cannot accomplish. All this in real-time. This is a significant step towards Vision Zero, the goal of safe road-driving where motorists and pedestrians can travel together without colliding.