Smart technologies for traffic are a delicately integrated network of processes that help transportation personnel, drivers and commuters manage the flow and efficiency of traffic. Intelligent traffic systems can alter control mechanisms such as traffic lights, freeway onramp meters and bus rapid transit lanes. They also make use of advanced IoT hardware and routers that use cellular technology as well as mobile networks. They can also predict changes in traffic demand and provide real-time information to road users.
An excellent example is the traffic signal system that is adaptive in Pittsburgh. Stephen Smith, a professor at Carnegie Mellon University’s (CMU) He installed his first traffic signals in the heavily congested part of East Liberty in the city. He noticed immediate results. Drivers were able to travel 25 percent further and were able to drive 40 percent more efficiently.
The system works by collecting data from sensors that track the traffic flow and adjust their timings on the fly, as well as spotting pedestrians at intersections and giving them the time to traverse the street. Sensors send their raw data to a central hub, where it technologytraffic.com/2021/12/29/generated-post-3/ is processed by artificial intelligence. It is then sent back to the intersections through 5G-enabled cell networks.
These intelligent systems also enable better, more precise modeling of risk-reducing scenarios that a human traffic controller could not achieve – and all in real-time. This is a significant step towards Vision Zero, the goal of a safe road that ensures humans and vehicles can travel together without collision.
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