A delicately knitted network of processes, smart technology for traffic assist transport employees commuters, drivers and drivers control traffic flow and efficiency. Intelligent traffic systems can adjust the mechanisms that control traffic, like traffic lights, freeway onramp meters and bus rapid transit lanes. They also employ advanced IoT routers and hardware as well as cellular technology and cell networks. They can also predict changes in traffic demand, and provide real-time information to road users.
A good example is the adaptive traffic signal system in Pittsburgh. When Carnegie Mellon University (CMU) professor Stephen Smith installed his first few traffic signals that were experimental in a highly congested part of the city’s East Liberty, he saw technologytraffic.com/2021/07/08/generated-post/ immediate results: Drivers traveled 25 percent more efficiently and spent 40 percent less time in traffic jams than before.
The system is able to collect data from sensors that track 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. Sensors send their raw data to a central hub, which is then processed by artificial intelligence. The data is then transmitted back to the intersections through 5G-enabled cell networks.
These systems are intelligent and allow for more accurate and precise modeling of scenarios that reduce the risk, something that human traffic managers cannot do. And all this in real-time. This is a major step towards Vision Zero, a goal of safe driving where motorists and pedestrians share the road without collisions.
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