A delicately interwoven system of processes, smart technology for traffic aid transport personnel commuters, drivers and drivers improve efficiency and flow of traffic. Using advanced IoT devices, sensors routers, sensors and cellular technology, intelligent traffic systems can 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 predict changes in traffic demand, and provide real-time information to road users.
Pittsburgh’s adaptive traffic signal system is a good example. Stephen Smith, a professor at Carnegie Mellon University’s (CMU), installed his first traffic signals in a congested area of East Liberty in the city. He saw immediate results. Drivers were able to travel 25 percent more efficiently and spent 40 percent less time in traffic.
The system is able to collect data from sensors that monitor traffic patterns and adjust their timing on the fly. It detects pedestrians at intersections, and allows them enough time to safely cross the street. Sensors send their technologytraffic.com/2021/12/29/generated-post-4 raw data into a central hub which is then processed by artificial intelligence. The data is then transmitted back to the intersections by 5G-enabled cell networks.
These intelligent systems allow for more precise and accurate modeling of scenarios that reduce risk, which human traffic managers are unable to attain. And all of this is in real-time. This is a significant step toward Vision Zero, a goal of safe driving where both vehicles and humans share the road with no collisions.
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