A delicately interwoven network of processes, smart technology for traffic help transport personnel motorists, commuters and drivers improve efficiency and flow of traffic. Utilizing advanced IoT hardware, sensors routers, cellular technology, and sensors intelligent traffic systems automatically adjust control mechanisms such as traffic lights as well as freeway on-ramp meters bus rapid transit lanes highway navigate to this site message boards, and even speed limits. They also assist in forecasting shifts in traffic demand and provide a variety of live information to road users.
Pittsburgh’s adaptive traffic signal system is a great example. When Carnegie Mellon University (CMU) professor Stephen Smith installed his first couple of traffic signals, which were merely experimental, in a crowded area of the city’s East Liberty, he saw immediate results: Drivers travelled 25 percent faster and spent 40 percent less time in traffic jams than they had before.
The system is able to collect data from sensors which monitor the flow of traffic and adjust their timing on the fly. It also detects pedestrians at intersections, and allows them enough time to safely cross the street. The sensors then send their raw data to a central center where it is processed by artificial intelligence and then distributed back to the intersections using 5G-enabled mobile networks.
These systems can also enable better, more accurate modeling of risk-minimizing scenarios that a human traffic manager could not manage and all in real-time. This is a significant step towards Vision Zero, the goal of a safe road that ensures motorists and pedestrians can share the road without collision.
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