A delicately interwoven system of processes, smart technology for traffic assist transport employees commuters, drivers and drivers improve efficiency and flow of traffic. Intelligent traffic systems can adjust the mechanisms that control traffic, like traffic lights and onramp meters for freeways as well as bus rapid transit lanes. They also use advanced IoT hardware and routers as well as cellular technology and mobile networks. They can also help forecast changes in traffic demand and provide a variety of live information to road users.

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

The system collects data from sensors which monitor the traffic flow and adjust their resource timings on the fly in addition to identifying pedestrians near intersections, and giving them time to safely cross the street. The sensors send their raw data into the central hub, which is then processed by artificial intelligence. The data is then transmitted back to the intersections via 5G-enabled cell networks.

These intelligent systems allow for better and more accurate simulation of scenarios that minimize the risk that humans cannot do. All this in real-time. This is a significant step towards Vision Zero, the goal of a safe road that ensures both vehicles and humans can share the road without colliding.

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