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Smart technologies for traffic are a delicately integrated network of processes that assist transport personnel, drivers, and commuters regulate the flow and efficiency of traffic. Using advanced IoT sensors, hardware, routers and cellular technology intelligent traffic systems dynamically adjust control mechanisms like traffic lights as well as freeway on-ramp meters bus rapid transit lanes highway message boards, and even speed limits. They can also forecast changes in traffic demand and provide real-time data technologytraffic.com to road users.

A good example is the traffic signal system that is adaptive in Pittsburgh. Stephen Smith, a professor at Carnegie Mellon University’s (CMU), installed his first traffic signals to a heavily congested area of East Liberty in the city. He saw immediate results. Drivers travelled 25 percent more efficiently and spent 40 percent less idling.

The system works by collecting data from sensors which monitor the traffic flow and adjust their timing in real-time, as well as spotting pedestrians at intersections, and giving them time to safely traverse the street. Sensors send their raw data to an centralized hub, where it is processed by artificial intelligence. It is then sent back to the intersections by 5G-enabled cell networks.

These advanced systems also provide better, more precise modeling of risk-minimizing scenarios that a human traffic controller would not be able to achieve and all in real-time. This is a significant step towards Vision Zero, the goal of a safe road that ensures cars and human beings are able to travel together without collision.