Smart technologies for traffic are a delicately integrated network of processes that assist transport workers, drivers, and commuters manage the flow and efficiency of traffic. Intelligent traffic systems are able to adjust the controls of traffic 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 cell networks. They also assist in forecasting shifts in traffic demand, and provide a range of real-time information to road users.
An excellent example is the traffic signal system that is adaptive in Pittsburgh. When Carnegie Mellon University (CMU) professor Stephen Smith installed his first few traffic signals for experimentation in a highly congested part of the city’s East Liberty, he saw immediate results: Drivers travelled 25 percent further and spent 40 percent less time idling in traffic jams than before.
The system works by capturing data from sensors that monitor traffic patterns and adjust their timing on-the-fly. It also detects pedestrians at intersections and gives them enough time to safely cross the street. Sensors send their raw data to a central hub, which is then processed by artificial intelligence. It is then sent back to the intersections via 5G-enabled cell networks.
These advanced systems permit more precise and accurate modeling of scenarios that reduce the risk, something that human traffic managers are unable to achieve. And all this in real-time. This is a significant step towards Vision Zero, a goal of safe and secure driving in which both vehicles and humans share the road with https://technologytraffic.com/2022/11/02/top-free-traffic-simulation-software-list/ no collisions.
