A delicately knitted network of processes, smart technology for traffic help transport personnel commuters, drivers and drivers control traffic flow and efficiency. Intelligent traffic systems are able to adjust control mechanisms such as traffic lights and freeway onramp meters as well as bus rapid transit lanes. They also make use of advanced IoT routers and hardware, cellular technology and mobile networks. They also can forecast changes in traffic demand and provide real-time information for road users.
A good example is the traffic signal system that is adaptive in Pittsburgh. Stephen Smith, a professor at Carnegie Mellon University’s (CMU), installed his first experimental traffic signals to https://technologytraffic.com/2022/11/07/successful-ai-tools-for-business-to-test-now/ a heavily congested part of East Liberty in the city. Smith saw immediate results. Drivers travelled 25 percent faster and were able to drive 40 percent more efficiently.
The system works by collecting data from sensors which monitor the traffic flow and adjust their timings in real-time in addition to detecting pedestrians in intersections and giving them the time to safely traverse 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 better and more accurate modeling of scenarios that reduce risks, which humans cannot achieve. And all of this is in real-time. This is an important step toward Vision Zero, a goal of accident-free driving in which both vehicles and humans share the road with no collisions.
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