Smart technologies for traffic are a delicately weaved system of processes that aid transport workers, drivers, and commuters manage the flow and efficiency of traffic. Intelligent traffic systems can adjust the control mechanisms, such as traffic lights as well as freeway onramp meters, and bus rapid transit lanes. They also employ advanced IoT hardware and routers, cellular technology and wireless networks. They also can forecast changes in traffic demand and provide real-time information for road users.
Pittsburgh’s adaptive traffic signal system is an excellent example. Stephen Smith, a professor at Carnegie Mellon University’s (CMU), installed his first traffic signals in a congested area of East Liberty in the city. The immediate results were evident. Drivers drove 25 percent faster and spent 40 percent less time idling.
The system works by capturing data from sensors that track the traffic flow and adjust their timing on-the-fly. It also detects pedestrians near intersections and gives them enough time to cross the street safely. The sensors then send their raw data to a central center where it is processed by artificial intelligence and then dispatched back out to the intersections via 5G-enabled cell networks.
These intelligent systems allow for better and more accurate modeling of scenarios that minimize risks, which human traffic managers cannot accomplish. And all of this is in real-time. This is a significant step towards Vision Zero, the goal of safe road-driving where motorists and pedestrians can share the road without colliding.