A delicately interwoven system of processes, smart technology for traffic assist transport employees, drivers and commuters manage traffic flow and efficiency. Intelligent traffic systems can adjust the control mechanisms, such as traffic about his lights, freeway onramp meters and bus rapid transit lanes. They also make use of advanced IoT routers and hardware with cellular technology, as well as cellular networks. They also assist in forecasting shifts in traffic demand, and offer a variety of 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) He installed his first traffic signals in a congested part of East Liberty in the city. Smith saw immediate results. Drivers drove 25 percent further and spent 40 percent less time idling.
The system collects data from sensors that monitor the traffic flow and adjust their timings in real-time and also spotting pedestrians at intersections and allowing them time to walk across the street. The sensors send their raw data into a central hub where it is processed by artificial intelligence. The data is then transmitted back to the intersections through 5G-enabled cell networks.
These intelligent systems allow for more precise and accurate modeling of scenarios that minimize risk, which human traffic managers cannot accomplish. All this in real-time. This is a major step towards Vision Zero, the goal of accident-free road driving where both vehicles and humans can share the road without collision.